Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
Publications
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Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2025) | April 2025
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Netherite: Efficient Execution of Serverless Workflows (Extended Journal Version)
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum (cgillum), David Justo (dajusto), Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB J. | February 2025, Vol 34: pp. 25
Special Issue "Best of VLDB 2022"
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QURE: AI-assisted and Automatically Verified UDF Inlining
Tarique Siddiqui, Arnd Christian König, Jiashen Cao, Cong Yan, Shuvendu Lahiri (shuvendu)
Proceedings of the ACM on Management of Data (SIGMOD 2025) | February 2025, Vol 3
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Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
IEEE Transactions on Knowledge and Data Engineering | January 2025, Vol 37(1): pp. 379-391
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FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Stream
Zheng Qin, Zheheng Liang, Lijie Xu, Wentao Wu, Mingchao Wu, Wuqiang Shen, Wei Wang
IEEE 41st International Conference on Data Engineering (ICDE 2025) | January 2025
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Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
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SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, Uday Bondhugula
2024 Symposium on Operating Systems Principles | November 2024
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Budget-aware Query Tuning: An AutoML Perspective
Wentao Wu, Chi Wang
SIGMOD Record | October 2024, Vol 53(3): pp. 20-26
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Cloud Actor-Oriented Database Transactions in Orleans
Tamer Eldeeb, Sebastian Burckhardt, Reuben Bond, Asaf Cidon, Junfeng Yang, Phil Bernstein
Proc. VLDB Endow. | July 2024, Vol 17: pp. 3720-3730
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Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, Vol 2(3)
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Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, Vol 2(1)
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Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
VLDB Journal | February 2024
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Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
International Conference on Learning Representations (ICLR 2024) | January 2024
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ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
SIGMOD Record | December 2023, Vol 52(4): pp. 19-30
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How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
VLDB Journal | December 2023
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service
Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek Narasayya
50th International Conference on Very Large Databases | September 2023
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Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, Vol 16(11): pp. 2871-2883
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Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
Yongji Wu, Danyang Zhuo, Matthew Lentz, Yao Lu
VLDB | September 2023
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A Systematic Evaluation of Machine Learning on Serverless Infrastructure
Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
VLDB Journal | August 2023, Vol 33(2): pp. 425-449
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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An Empirical Study on Challenging Math Problem Solving with GPT-4
Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang (Eric) Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
June 2023
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Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
SIGMOD 2023 | June 2023
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Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
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Selection Pushdown in Column Stores using Bit Manipulation Instructions
Yinan Li, Jianan Lu, Badrish Chandramouli
2023 ACM SIGMOD Conference | June 2023
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Generating Test Databases for Database-Backed Applications
Cong Yan, Suman Nath, Shan Lu
ICSE’23 | May 2023
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Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time
Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Henry Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley
CHI ’23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems | April 2023
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Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
IEEE 39th International Conference on Data Engineering (ICDE 2023) | April 2023
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T-ReX: Optimizing Pattern Search on Time Series (Extended Version)
Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
MSR-TR-2023-12 | March 2023
Published by Microsoft
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High-Performance Row Pattern Recognition Using Joins
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
Proceedings of the VLDB Endowment | February 2023, Vol 16(5): pp. 1181-1194
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FastVer2: A Provably Correct Monitor for Concurrent, Key-Value Stores
Arvind Arasu, Tahina Ramananandro, Aseem Rastogi, Nikhil Swamy, Aymeric Fromherz, Kesha Hietala, Bryan Parno, Ravi Ramamurthy
Certified Programs and Proofs | January 2023
Accepted for publication, to appear
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Tenant Placement in Over-subscribed Database-as-a-Service Clusters
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya
48th International Conference on Very Large Databases | September 2022
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Expressive Querying for Accelerating Visual Analytics
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
Communications of the ACM (CACM) | July 2022, Vol 65(7)
Research Highlight
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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Optimizing Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
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Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates
Wentao Wu, Phil Bernstein, Alex Raizman, Christina Pavlopoulou
IEEE 38th International Conference on Data Engineering (ICDE 2022) | May 2022
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High-Performance Row Pattern Recognition Using Joins (Technical Report)
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
MSR-TR-2022-34 | May 2022
Published by Microsoft
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Understanding Multi-Device Usage Patterns: Physical Device Configurations and Fragmented Workflows
Ye Yuan, Nathalie Henry Riche, Nicolai Marquardt, Molly Jane Nicholas, Teddy Seyed, Hugo Romat, Bongshin Lee, Michel Pahud, Jonathan Goldstein, Rojin Vishkaie, Christian Holz, Ken Hinckley
CHI 2022 | April 2022
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
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Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts
Beibin Li, Yao Lu, Srikanth Kandula
SIGMOD | April 2022
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Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning
Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
SIGMOD | April 2022
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Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
SIGMOD Record | March 2022
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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CompuCache: Remote Computable Caching using Spot VMs
Qizhen Zhang, Phil Bernstein, Daniel S. Berger, Badrish Chandramouli, Boon Thao Loo, Vincent Liu
Conference on Innovative Data Systems Research (CIDR 2022) | January 2022
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Redy: Remote Dynamic Memory Cache
Qizhen Zhang, Phil Bernstein, Daniel Berger (daberg), Badrish Chandramouli
VLDB 2022 | December 2021
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Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
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Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
MSR-TR-2021-29 | September 2021
Published by Microsoft
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
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OpenBox: A Generalized Black-box Optimization Service
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021) | August 2021
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Cardinality Estimation: Is Machine Learning a Silver Bullet?
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
AIDB | August 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
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Hyperspace: The Indexing Subsystem of Azure Synapse
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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The Case for ML-Enhanced High-Dimensional Indexes
Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
AIDB@VLDB 2021 | July 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Published by Microsoft Research
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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FastVer: Making Data Integrity a Commodity
Arvind Arasu, Aseem Rastogi, Badrish Chandramouli, Donald Kossmann, Esha Ghosh, Johannes Gehrke, Nikhil Swamy, Jonathan Protzenko, Ravi Ramamurthy, Srinath Setty, Tahina Ramananandro, Alexander van Renen, Min Xu
SIGMOD | June 2021
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Asynchronous Prefix Recoverability for Fast Distributed Stores
Tianyu Li, Badrish Chandramouli, Jose Faleiro, Donald Kossmann, Sam Madden
SIGMOD 2021 | June 2021
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Instance-Optimized Data Layouts for Cloud Analytics Workloads
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
SIGMOD 2021 | June 2021
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Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2021) | June 2021
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Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd’s table
Wentao Wu, Ce Zhang
DEEM@SIGMOD 2021 | June 2021
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Economical Hyperparameter Optimization with Blended Search Strategy
Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
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From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
ACM SIGMOD Record | May 2021
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Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
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Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
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FLAML: A Fast and Lightweight AutoML Library
Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
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A Data Quality-Driven View of MLOps
Cedric Renggli, Luka Rimanic, Nezihe Merve Gurel, Bojan Karlas, Wentao Wu, Ce Zhang
IEEE Data Engineering Bulletin | March 2021, Vol 44(1): pp. 11-23
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Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
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Magpie: Python at Speed and Scale using Cloud Backends
Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
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Ease.ML: A Lifecycle Management System for MLDev and MLOps
Leonel Aguilar, David Dao, Shaoduo Gan, Nezihe Merve Gurel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Rao, Johannes Rausch, Cedric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Conference on Innovative Data Systems Research (CIDR 2021) | January 2021
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Model Averaging in Distributed Machine Learning: A Case Study with Apache Spark
Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li
VLDB Journal | January 2021
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SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time (UIST 2020 Paper)
Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz, Anand Waghmare, Hemant Surale, Marcus Peinado, Xiaokuan Zhang, Shannon Joyner, Badrish Chandramouli, Umar Farooq Minhas, Jonathan Goldstein, Bill Buxton, Ken Hinckley
Proceedings of the 33rd Annual Symposium on User Interface Software and Technology (UIST ’20) | October 2020
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Three lessons from accelerating scientific insight discovery via visual querying
Doris Lee, Tarique Siddiqui, Karrie Karahalios, Aditya Parameswaran
Patterns | October 2020
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Approximate Partition Selection for BigData Workloads using Summary Statistics
Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis
VLDB | August 2020
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
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Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2020) | July 2020
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Helios: Hyperscale Indexing for the Cloud & Edge
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2020) | July 2020
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Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2020
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Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
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Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
June 2020
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Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
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Building Continuous Integration Services for Machine Learning
Bojan Karlas, Matteo Interlandi, Cedric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) | June 2020
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Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Ake Larson, Donald Kossmann, Rajeev Acharya
SIGMOD 2020 | June 2020
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ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
ACM SIGMOD | June 2020
Best Paper
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ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska
MSR-TR-2020-12 | May 2020
Published by Microsoft
SIGMOD 2020 | June 2020
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Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
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ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent
Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang
IEEE International Conference on Data Engineering (ICDE 2020) | April 2020
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Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
SIGMOD 2020: International Conference on Management of Data | February 2020
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Contextual Fact Ranking and Its Applications in Table Synthesis and Compression
Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD) | August 2019
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
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Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, Vol 12(12)
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Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
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FishStore: Fast Ingestion and Indexing of Raw Data
Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann
PVLDB Vol. 12 No. 12 | August 2019
Demo paper
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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You can’t always sketch what you want: Understanding Sensemaking in Visual Query Systems
Doris Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya Parameswaran
IEEE Transactions on Visualization and Computer Graphics | August 2019
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Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 2019
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Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
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Concurrent Prefix Recovery: Performing CPR on a Database
Guna Prasaad, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
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FishStore: Faster Ingestion with Subset Hashing
Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
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Resurrecting Middle-Tier Distributed Transactions
Bulletin of the Technical Committee on Data Engineering | June 2019, Vol 42(2): pp. 3-6
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Speculative Distributed CSV Data Parsing for Big Data Analytics
Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
Chen Zhao, Yeye He
WWW – World Wide Web Consortium (W3C) | May 2019
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Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization
Cedric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2019) | May 2019
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Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
Cedric Renggli, Bojan Karlaš, Bolin Ding, Feng Liu, Wentao Wu, Ce Zhang
SysML Conference (SysML 2019) | April 2019
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CRA: Enabling Data-Intensive Applications in Containerized Environments
Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas
35th IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
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MLlib*: Fast Training of GLMs using Spark MLlib
Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui
IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
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CRA: A Common Runtime for Applications
Badrish Chandramouli, Umar Farooq Minhas, Ibrahim Sabek
MSR-TR-2019-2 | February 2019
Published by Microsoft
https://github.com/Microsoft/CRA
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
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ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
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Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering
Bailu Ding, Lucja Kot, Johannes Gehrke
Proceedings of the VLDB Endowment (VLDB 2019) | January 2019
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Serverless Event-Stream Processing over Virtual Actors
Phil Bernstein, Todd Porter, Rahul Potharaju, Shivaram Venkataraman, Wentao Wu
Conference on Innovative Data Systems Research (CIDR 2019) | January 2019
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A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Published by Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
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Leadership and Advocacy
Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker | Published by ACM and Morgan Claypool | 2018
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SIGMOD 2018 Program Committee Chair’s Report
ACM SIGMOD Record | December 2018, Vol 47(4)
To appear.
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Adaptive Sampling for Rapidly Matching Histograms
Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
44th International Conference on Very Large Data Bases (VLDB) | August 2018
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ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
VLDB | August 2018
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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
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Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
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FASTER: An Embedded Concurrent Key-Value Store for State Management
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
Demo Paper | July 2018
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Transform-Data-by-Example: An Extensible Search Engine for Data Transformations
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek Narrasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | June 2018
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Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
SIGMOD | June 2018
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Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
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FASTER: A Concurrent Key-Value Store with In-Place Updates
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
2018 ACM SIGMOD International Conference on Management of Data (SIGMOD ’18), Houston, TX, USA | June 2018
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Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
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Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets
Yihan Gao, Silu Huang, Aditya Parameswaran
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2018
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Optimally leveraging density and locality for exploratory browsing and sampling
Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Sam Madden, Aditya Parameswaran
HILDA@SIGMOD | June 2018
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MLBench: Benchmarking Machine Learning Services Against Human Experts
Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
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Ease.ml in Action: Towards Multi-tenant Declarative Learning Services
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
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Actor-Oriented Database Systems
Proceedings of the 2018 IEEE 34th International Conference on Data Engineering | April 2018
ISBN: ISBN-13: 978-1-5386-5520-7
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Impatience is a Virtue: Revisiting Disorder in High-Performance Log Analytics
Badrish Chandramouli, Jonathan Goldstein, Yinan Li
34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France | April 2018
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RC-Index: Diversifying Answers to Range Queries
Yue Wang, Alexandra Meliou, Gerome Miklau
International Conference on Very Large Data Bases (PVLDB) | March 2018, Vol 11: pp. 773-786
Proc. VLDB Endow.
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Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | February 2018
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How Good Are Machine Learning Clouds for Binary Classification with Good Features?
Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the 2017 Symposium on Cloud Computing (SoCC 2017) | September 2017
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Discovering Enterprise Concepts Using Spreadsheet Tables
Keqian Li, Yeye He, Kris Ganjam
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
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MLog: Towards Declarative In-Database Machine Learning
Bin Cui, Xupeng Li, Yiru Chen, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2017) | August 2017
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OrpheusDB: Bolt-on Versioning for Relational Databases
Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
43th International Conference on Very Large Data Bases (VLDB) | August 2017
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Mison: A Fast JSON Parser for Data Analytics
Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann
The 43rd International Conference on Very Large Data Bases (VLDB 2017) | June 2017
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Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
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Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
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An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision
Ce Zhang, Wentao Wu, Tian Li
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics (HILDA@SIGMOD 2017) | May 2017
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Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
International Conference on Management of Data (SIGMOD) | May 2017
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Enabling Signal Processing over Data Streams
Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein
SIGMOD 2017, May 14-19, 2017, Chicago, Illinois, USA | May 2017
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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
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OrpheusDB: A Lightweight Approach to Relational Dataset Versioning
Liqi Xu, Silu Huang, Sili Hui, Aaron J. Elmore, Aditya Parameswaran
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD DEMO) | May 2017
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Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
33rd IEEE International Conference on Data Engineering (ICDE 2017) | April 2017
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Towards Interactive Debugging of Rule-based Entity Matching
Fatemah Panahi, Wentao Wu, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 20th International Conference on Extending Database Technology (EDBT 2017) | March 2017
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Towards Visualization Recommendation Systems
Manasi Vartak, Silu Huang, Tarique Siddiqui, Sam Madden, Aditya Parameswaran
SIGMOD Record | March 2017
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Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE) | February 2017, Vol 29: pp. 446-457
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Indexing in an Actor-Oriented Database
Phil Bernstein, Mohammad Dashti, Tim Kiefer, David Maier
Conference on Innovative Database Research (CIDR) | January 2017
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READY: Completeness is in the Eye of the Beholder
Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Moritz Hoffmann, Donald Kossmann, Justin Levandoski, Renato Marroquin, Wenlei Xie
8th Biennial Conference on Innovative Data Systems Research (CIDR 2017) | January 2017
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Fast-Forwarding to Desired Visualizations with Zenvisage
Tarique Siddiqui, John Lee, Alber Kim, Edward xue, Chaoran Wang, Yuxuan Zou, Changfeng Liu, Lijin Guo, Xiaofo Yu, Karrie Karahalios, Aditya Parameswaran
CIDR | January 2017
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Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
International Conference on Very Large Databases (PVLDB Vol. 10, Issue. 5) | January 2017
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Transactions for Distributed Actors in the Cloud
Tamer Eldeeb, Phil Bernstein
MSR-TR-2016-1001 | October 2016
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Effortless data exploration with zenvisage: an expressive and interactive visual analytics system
Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya Parameswaran
VLDB | October 2016
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FacetGist: Collective Extraction of Document Facets in Large Technical Corpora
Tarique Siddiqui, Xiang Ren, Aditya Parameswaran, Jiawei Han
CIKM | October 2016
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 2016
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Quill: Efficient, Transferable, and Rich Analytics at Scale
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
International Conference on Very Large Databases (PVLDB Vol. 9, Issue. 14) | September 2016
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The Quill Distributed Analytics Library and Platform
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
MSR-TR-2016-25 | August 2016
Technical Report
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Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
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Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
MSR-TR-2016-15 | June 2016
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Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
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Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams
Arnd Christian König, Anshumali Srivastava, Misha Bilenko
ACM SIGMOD Conference | June 2016
ACM SIGMOD Conference
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Plan Bouquets: A Fragrant Approach to Robust Query Processing
Anshuman Dutt, Jayant R. Haritsa
ACM Trans. Database Syst. | June 2016, Vol 41: pp. 0.459027778-0.484027778
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Accelerating Relational Databases by Leveraging Remote Memory and RDMA
Feng Li, Sudipto Das, Manoj Syamala, Vivek Narasayya
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
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Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
Sudipto Das, Feng Li, Vivek Narasayya, Arnd Christian König
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
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Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2016
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Sampling-Based Query Re-Optimization
Wentao Wu, Jeffrey F. Naughton, Harneet Singh
Proceedings of the 2016 International Conference on Management of Data (SIGMOD 2016) | June 2016
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Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
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ICE: Managing Cold State for Big Data Applications
Badrish Chandramouli, Justin Levandoski, Eli Cortez
IEEE International Conference on Data Engineering (ICDE) | May 2016
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Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora
Yeye He, Kaushik Chakrabarti, Tomasz Tylenda
WWW – World Wide Web Consortium (W3C) | April 2016
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Tempe: Live Scripting For Live Data
Robert DeLIne, Danyel Fisher, Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger, John Wernsing
Visual Languages and Human-Centric Computing (VL/HCC), 2015 IEEE Symposium on | October 2015
ISBN: 978-1-4673-7457-6
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Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff.
Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya Parameswaran
41th International Conference on Very Large Data Bases (VLDB) | August 2015
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
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Trill: A High-Performance Incremental Query Processor for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John Platt, James Terwilliger, John Wernsing, Robert DeLIne
August 2015
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Centiman: Elastic, high performance optimistic concurrency control by watermarking
Bailu Ding, Lucja Kot, Alan Demers, Johannes Gehrke
Proceedings of the Sixth ACM Symposium on Cloud Computing | July 2015
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Optimizing optimistic concurrency control for tree-structured, log-structured databases
Phil Bernstein, Sudipto Das, Bailu Ding, Markus Pilman
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
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The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis
Sudip Roy, Lucja Kot, Gabriel Bender, Bailu Ding, Hossein Hojjat, Christoph Koch, Nate Foster, Johannes Gehrke
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
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Towards a Unified Query Language for Provenance and Versioning
Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Sam Madden, Aditya Parameswaran
7th USENIX Workshop on the Theory and Practice of Provenance (TaPP) | July 2015
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A Padded Encoding Scheme to Accelerate Scans by Leveraging Skew
Yinan Li, Craig Chasseur, Jignesh M. Patel
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 – June 4, 2015 | June 2015
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Minimum Spanning Trees in Temporal Graphs
Silu Huang, Ada Wai-Chee Fu, Ruifeng Liu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2015
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
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SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora
Yeye He, Kris Ganjam, Xu Chu
International Conference on Very Large Databases (VLDB) | June 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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Concept Expansion Using Web Tables
Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein
Proceeding of 2015 International World Wide Web Conference | May 2015
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TEGRA: Table Extraction by Global Record Alignment
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
International Conference on Management of Data (SIGMOD) | May 2015
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PerfAugur: Robust Diagnostics for Performance Anomalies in Cloud Services
Sudip Roy, Arnd Christian König, Arnd Christian König, Igor Dvorkin, Manish Kumar
ICDE – 31st International Conference on Data Engineering | April 2015
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
31st IEEE International Conference on Data Engineering (ICDE) | April 2015
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On Debugging Non-Answers in Keyword Search Systems
Akanksha Baid, Wentao Wu, Chong Sun, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 18th International Conference on Extending Database Technology (EDBT 2015) | March 2015
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Scaling Optimistic Concurrency Control by Approximately Partitioning the Certifier and Log
Phil Bernstein, Sudipto Das
IEEE Data Engineering Bulletin | March 2015, Vol Jan-38
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
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ClusterJoin: A Similarity Joins Framework using Map-Reduce
Akash Das Sarma, Yeye He, Surajit Chaudhuri
Proceedings of International Conference on Very Large Databases (VLDB) | September 2014
Proceedings of International Conference on Very Large Databases (VLDB)
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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WideTable: An Accelerator for Analytical Data Processing
Yinan Li, Jignesh M. Patel
PVLDB | September 2014, Vol 7(10): pp. 907-918
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Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
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k-Balanced sorting and skew join in MPI and MapReduce
Silu Huang, Ada Wai-Chee Fu
2014 IEEE International Conference on Big Data (Big Data) | August 2014
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Path Problems in Temporal Graphs
Huanhuan Wu, James Cheng, Silu Huang, Yiping Ke, Yi Lu, Yanyan Xu
40th International Conference on Very Large Data Bases (VLDB) | August 2014
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Scalable Progressive Analytics on Big Data in the Cloud
Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar
MSR-TR-2013-78 | August 2014
International Conference on Very Large Databases (PVLDB Vol. 6, Issue. 14)
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
MSR-TR-2014-106 | August 2014
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Uncertainty Aware Query Execution Time Prediction
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2014) | August 2014
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Plan Bouquets: Query Processing without Selectivity Estimation
Anshuman Dutt, Jayant R. Haritsa
SIGMOD 2014 | June 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Jonathan Goldstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
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Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
2014 ACM SIGMOD Conference | June 2014
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Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions
Nivan Ferreira, Danyel Fisher, Arnd Christian König
Proceedings of Conference on Human Factors in Computing Systems (CHI 2014) | April 2014
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The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
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Orleans: Distributed Virtual Actors for Programmability and Scalability
Phil Bernstein, Sergey Bykov, Alan Geller, Gabriel Kliot, Jorgen Thelin
MSR-TR-2014-41 | March 2014
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Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, Vol 37: pp. 38-47
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Oblivious Query Processing
Arvind Arasu, Raghav Kaushik
17th International Conference on Database Theory (ICDT) | March 2014
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On Load Shedding in Complex Event Processing
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Database Theory (ICDT) | March 2014
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Temporal Graph Traversals: Definitions, Algorithms, and Applications
Silu Huang, James Cheng, Huanhuan Wu
January 2014
January 2014
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A General Streaming Algorithm for Pattern Discovery
Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Knowledge and Information Systems | December 2013, Vol 37(3): pp. 585-610
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b-Bit Minwise Hashing in Practice
Ping Li, Anshumali Shrivastava, Arnd Christian König
Proceedings of the 5th Asia-Pacific Symposium on Internetware | October 2013
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A Secure Coprocessor for Database Applications
Ravi Ramamurthy, Ken Eguro, Arvind Arasu, Raghav Kaushik, Donald Kossmann, Ramarathnam Venkatesan
23rd International Conference on Field Programmable Logic and Applications (FPL) | September 2013
23rd International Conference on Field Programmable Logic and Applications (FPL)
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CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
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Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads
Wentao Wu, Yun Chi, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2013) | August 2013
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TF-Label: a topological-folding labeling scheme for reachability querying in a large graph
James Cheng, Silu Huang, Huanhuan Wu, Ada Wai-Chee Fu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | July 2013
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Incremental Mapping Compilation in an Object-to-Relational Mapping System (Extended Version)
Phil Bernstein, Marie Jacob, Jorge Perez, Guillem Rull, James Terwilliger
MSR-TR-2013-45 | June 2013
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Incremental mapping compilation in an object-to-relational mapping system
Phil Bernstein, Marie Jacob, Jorge Perez, Guillem Rull, James Terwilliger
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
An extended version of the appears as Microsoft Technical Report
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Query containment in Entity SQL (Extended Abstract)
Guillem Rull, Phil Bernstein, Ivo Santos, Yannis Katsis, Sergey Melnik, James Terwilliger, Ernest Teniente
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
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Rethinking Eventual Consistency
Phil Bernstein, Sudipto Das
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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BitWeaving: fast scans for main memory data processing
Yinan Li, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 | June 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013
ISBN: 978-1-4503-2037-5
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Enabling JSON Document Stores in Relational Systems
Craig Chasseur, Yinan Li, Jignesh M. Patel
Proceedings of the 16th International Workshop on the Web and Databases 2013, WebDB 2013, New York, NY, USA, June 23, 2013. | June 2013
Proceedings of the 16th International Workshop on the Web and Databases 2013, WebDB 2013, New York, NY, USA, June 23, 2013.
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Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
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Mining Acronym Expansions and Their Meanings Using Query Click Log
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He
May 2013
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Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
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Predicting query execution time: Are optimizer cost models really unusable?
Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton
29th IEEE International Conference on Data Engineering (ICDE 2013) | April 2013
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Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
29th International Conference on Data Engineering (ICDE) | April 2013
Tutorial presentation
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Orthogonal Security With Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Ramarathnam Venkatesan
6th Biennial Conference on Innovative Data Systems Research (CIDR’13) | January 2013
6th Biennial Conference on Innovative Data Systems Research (CIDR'13)
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Crawling Deep-web Entity Pages
Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman
Proceedings of International Conference on Web Search and Data Mining (WSDM) | January 2013
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NUMA-aware algorithms: the case of data shuffling
Yinan Li, Ippokratis Pandis, René Müller, Vijayshankar Raman, Guy M. Lohman
CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings | January 2013
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SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Utility-Maximizing Event Stream Suppression
Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton
Proceedings of International Conference on Management of Data (SIGMOD) | January 2013
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Efficient Episode Mining of Dynamic Event Streams
Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium | December 2012
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium
Best Papers of ICDM 2012
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Engineering Performance and Security with Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Prasang Upadhyaya, Ramarathnam Venkatesan
Data Engineering Bulletin | December 2012
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WHAM: A High-Throughput Sequence Alignment Method
Yinan Li, Jignesh M. Patel, Allison Terrell
ACM Trans. Database Syst. | December 2012, Vol 37(4): pp. 28
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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
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Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
Danyel Fisher, Steven Drucker, Arnd Christian König
MSR-TR-2012-134 | July 2012
IEEE Computer Graphics and Applications
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
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Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
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Probase: a probabilistic taxonomy for text understanding
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
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RACE: Real-time Applications over Cloud-Edge
Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, Wenchao Zhou
ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
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GPU-Based Minwise Hashing
Ping Li, Anshumali Shrivastava, Arnd Christian König
21st International World Wide Web Conference | April 2012
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Context-aware Search for Personal Information Management Systems
Jidong Chen, Wentao Wu, Hang Guo, Wei Wang
Proceedings of the Twelfth SIAM International Conference on Data Mining (SDM 2012) | April 2012
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Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
28th International Conference on Data Engineering (ICDE ’12) | April 2012
28th International Conference on Data Engineering (ICDE '12)
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
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Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
28th International Conference on Data Engineering (ICDE ’12) | April 2012
Best Paper Award
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A Framework for Robust Discovery of Entity Synonyms
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
SIGKDD | January 2012
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
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InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
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On The Security Of Querying Encrypted Data
Arvind Arasu, Raghav Kaushik, Ravi Ramamurthy
January 2012
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Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore, Arnd Christian König
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS) | December 2011
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS)
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A Learning Framework for Self-Tuning Histograms
Prateek Jain, Srivatsan Laxman, Arvind Arasu
December 2011
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AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
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b-Bit Minwise Hashing for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore, Arnd Christian König
Big Learning 2011: NIPS 2011 Workshop on Algorithms, Systems, and Tools for Learning at Scale | December 2011
Big Learning 2011: NIPS 2011 Workshop on Algorithms, Systems, and Tools for Learning at Scale
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Mapping XML to a Wide Sparse Table
Phil Bernstein, Liang Jeff Chen, Peter Carlin, Dimitrije Filipovic , Michael Rys, Nikita Shamgunov, James F. Terwilliger, Milos Todic, Sasa Tomasevic, Dragan Tomic
IEEE Transactions on Knowledge and Data Engineering | December 2011, Vol 26(6)
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Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, Vol 34: pp. 12-19
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Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
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Improving Clustering by Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Muting Wan
Knowledge and Information Systems (KAIS) | August 2011
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Online Visualization of Geospatial Stream Data using the WorldWide Telescope
Mohamed Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Drucker, Balan S. Raman
International Conference on Very Large Databases (VLDB) | August 2011
International Conference on Very Large Databases (VLDB)
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Theory and Applications of b-Bit Minwise Hashing
Ping Li, Arnd Christian König
Communications of the ACM | August 2011
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iMecho: a context-aware desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
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Improving Local Search Ranking through External Logs
Klaus Berberich, Arnd Christian König, Dimitrios Lymberopoulos, Peixiang Zhao, ,
34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011)
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Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
MSR-TR-2011-82 | July 2011
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Design and evaluation of main memory hash join algorithms for multi-core CPUs
Spyros Blanas, Yinan Li, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 | June 2011
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StreamRec: A Real-Time Recommender System
Badrish Chandramouli, Justin Levandoski, Ahmed Eldawy, Mohamed F. Mokbel
ACM SIGMOD International Conference on Management of Data (SIGMOD 2011) | June 2011
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Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
MSR-TR-2011-87 | June 2011
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WHAM: a high-throughput sequence alignment method
Yinan Li, Allison Terrell, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 | June 2011
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Efficient Document Clustering via Online Nonnegative Matrix Factorizations
Fei Wang, Chenhao Tan, Arnd Christian König, Ping Li
Eleventh SIAM International Conference on Data Mining | April 2011
Eleventh SIAM International Conference on Data Mining
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Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
27th International Conference on Data Engineering (ICDE ’11) | April 2011
27th International Conference on Data Engineering (ICDE '11)
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Interval-Based Pruning for Top-k Processing over Compressed Lists
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
ICDE Conference | April 2011
ICDE Conference
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SEISA: Set Expansion by Iterative Similarity Aggregation
Yeye He, Dong Xin
Proceedings of International World Wide Web Conference (WWW) | April 2011
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The Extensibility Framework in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer
27th International Conference on Data Engineering | April 2011
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Dagstuhl Seminar on Robust Query Processing – Summary and Abstracts Collection
Goetz Graefe, Harumi Anne Kuno, Arnd Christian König, Volker Markl, Kai-Uwe Sattler
February 2011
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Fast Set Intersection in Memory
Bolin Ding, Arnd Christian König
37th International Conference on Very Large Databases (VLDB) | January 2011
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Automatically Tagging Entities with Descriptive Phrases
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
WWW (Poster paper) | January 2011
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Database Access Control & Privacy: Is There A Common Ground?
Surajit Chaudhuri, Raghav Kaushik, Ravi Ramamurthy
Conference on Innovative Database Research | January 2011
Conference on Innovative Database Research
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Hyder – A Transactional Record Manager for Shared Flash
Phil Bernstein, Colin Reid, Sudipto Das
CIDR | January 2011
Best Paper Award
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Location-aware Click Prediction in Mobile local Search
Dimitrios Lymberopoulos, Peixiang Zhao, Arnd Christian König, Klaus Berberich, Jie Liu
Conference in Information and Knoweledge Management (CIKM) | January 2011
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On the Complexity of Privacy-Preserving Complex Event Processing
Yeye He, Siddharth Barman, Di Wang, Jeffery Naughton
Proceedings of the Principles of Database Systems (PODS) | January 2011
Proceedings of the Principles of Database Systems (PODS)
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Optimistic Concurrency Control by Melding Trees
Phil Bernstein, Colin Reid, Ming Wu, Xinhao Yuan
PVLDB | January 2011
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Preventing Equivalence Attacks in Updated, Anonymized Data
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Data Engineering (ICDE) | January 2011
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Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Arnd Christian König
The 10th International Conference on Data Mining (ICDM) | December 2010
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b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li, Arnd Christian König, Wenhao Gui
Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS) | December 2010
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Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
IEEE Computer | December 2010
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Real-Time Spatio-Temporal Analytics using Microsoft StreamInsight
Badrish Chandramouli, Mohamed Ali, Balan S. Raman, Ed Katibah
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS ’10), San Jose, California | November 2010
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Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
MSR-TR-2010-130 | September 2010
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Object-Oriented Constraints for XML Schema
Suad Alagic, Phil Bernstein, Ruchi Jairath
ICOODB | September 2010
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FD-Buffer: A Buffer Manager for Databases on Flash Disks
Sai Tung On, Yinan Li, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu
MSR-TR-2010-121 | September 2010
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Automated Co-evoluation of Conceptual Models, Physical Databases, and Mapings
James Terwilliger, Phil Bernstein, Adi Unnithan
Conceptual Modeling — ER 2010 | September 2010
ISBN: 978-3-642-16372-2
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High-Performance Dynamic Pattern Matching over Disordered Streams
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Singapore | September 2010
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Tree Indexing on Solid State Drives
Yinan Li, Bingsheng He, Jun Yang, Qiong Luo, Ke Yi
PVLDB | September 2010
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Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
MSR-TR-2010-146 | July 2010
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Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
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Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Arnd Christian König, Dong Xin
International Conference on Management of Data (SIGMOD 2010) | June 2010
International Conference on Management of Data (SIGMOD 2010)
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An Extensible Test Framework for the Microsoft StreamInsight Query Processor
Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed Ali
International Workshop on Testing Database Systems (DBTest 2010) colocated with SIGMOD 2010, Indianapolis, Indiana, USA | June 2010
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On Active Learning of Record Matching Packages
Arvind Arasu, Michaela Götz, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2010
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On Indexing Error-Tolerant Set Containment
Parag Agrawal, Arvind Arasu, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2010
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
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Spatio-Temporal Stream Processing in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah
June 2010
-
b-Bit Minwise Hashing
Ping Li, Arnd Christian König
Nineteenth International World Wide Web Conference (WWW 2010) | April 2010
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Interactive Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
ICDE | April 2010
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Estimating the Compression Fraction of an Index Using Sampling
Vivek Narasayya, Ravi Ramamurthy, Raghav Kaushik, Stratos Idreos
International Conference on Data Engineering (ICDE) | March 2010
International Conference on Data Engineering (ICDE)
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k-symmetry model for identity anonymization in social networks
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zhihui Wang
EDBT 2010, 13th International Conference on Extending Database Technology (EDBT 2010) | March 2010
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Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
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Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
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Precomputing Search Features for Fast and Accurate Query Classification
Arnd Christian König, Arnd Christian König, Venkatesh Ganti, Xiao Li, Venky Ganti
Third ACM International Conference on Web Search and Data Mining (WSDM 2010) | February 2010
Third ACM International Conference on Web Search and Data Mining (WSDM 2010)
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Implementing an Append-Only Interface for Semiconductor Storage
Colin Reid, Phil Bernstein
IEEE Data Eng. Bull. | January 2010, Vol 33: pp. 14-20
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Keyword++: A Framework to Improve Keyword Search Over Entity Databases
Venkatesh Ganti, Yeye He, Dong Xin
Proceedings of International Conference on Very Large Databases (VLDB) | January 2010
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Reverse Engineering Models from Databases to Bootstrap Application Development
Ankit Malpani, Phil Bernstein, Sergey Melnik, James Terwilliger
International Conference on Data Engineering | January 2010
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Worry-Free Database Upgrades: Automated Model-Driven Evolution of Schemas and Complex Mappings
James Terwilliger, Phil Bernstein, Adi Unnithan
January 2010
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Personalization as a service: the architecture and a case study
Hang Guo, Jidong Chen, Wentao Wu, Wei Wang
Proceedings of the First International CIKM Workshop on Cloud Data Management (CloudDb 2009) | November 2009
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iMecho: an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009) | November 2009
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HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching
Arnab Nandi, Phil Bernstein
Proceedings of VLDB 2009 | August 2009
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Learning String Transformations from Examples
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
VLDB | August 2009
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Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
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On-The-Fly Progress Detection In Iterative Stream Queries
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Lyon, France | August 2009
International Conference on Very Large Databases (VLDB), Lyon, France
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Who Talks to Whom: Modeling Latent Structures in Dialogue Documents
Bailu Ding, Jiang-Ming Yang, Chong Wang, Rui Cai, Zhiwei Li (李志伟), Lei Zhang
NIPS Workshop on Applications for Topic Models: Text and Beyond | July 2009
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Click-Through Prediction for News Queries
Arnd Christian König, Michael Gamon, Qiang Wu
32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009) | July 2009
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A Framework for Testing Query Transformation Rules
Vivek Narasayya, Ravi Ramamurthy, Hicham Elmongui
June 2009
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Search your memory ! – an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Chunxin Xie
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2009) | June 2009
ISBN: 978-1-60558-551-2
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A Declarative Entity Representation Framework
Arvind Arasu, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2009
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Extending Autocompletion to Tolerate Errors
Surajit Chaudhuri, Raghav Kaushik
ACM SIGMOD | June 2009
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Interactive Plan Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
SIGMOD | June 2009
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Navigation Patterns from and to Social Media
Michael Gamon, Arnd Christian König
3rd AAAI Conference on Weblogs and Social Media (ICWSM 2009) | May 2009
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A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
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Exploiting Web Search Engines to Search Structured Information
Sanjay Agrawal, Surajit Chaudhuri, Kaushik Chakrabarti, Venkatesh Ganti, Dong Xin, Arnd Christian König, Arnd Christian König, Venky Ganti
18th International World Wide Web Conference (WWW 2009) | April 2009
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Query Portals: Dynamically Generating Portals for Web
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti, Arnd Christian König, Dong Xin
18th International World Wide Web Conference (WWW 2009) | April 2009
18th International World Wide Web Conference (WWW 2009)
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A Data Structure for Sponsored Search
Arnd Christian König, Ken Church, Martin Markov
24th International Conference on Data Engineering (ICDE) | March 2009
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Large-Scale Deduplication with Constraints using Dedupalog
Arvind Arasu, Christopher Re, Dan Suciu
Proceedings of the 25th International Conference on Data Engineering, ICDE 2009 | March 2009
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Efficiently indexing shortest paths by exploiting symmetry in graphs
Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He
12th International Conference on Extending Database Technology (EDBT 2009) | March 2009
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Tree Indexing on Flash Disks
Yinan Li, Bingsheng He, Qiong Luo, Ke Yi
Proceedings of the 25th International Conference on Data Engineering, ICDE 2009, March 29 2009 – April 2 2009, Shanghai, China | March 2009
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Anonymization of Set Valued Data via Top Down, Local Generalization
Yeye He, Jeffrey Naughton
Proceedings of International Conference on Very Large Database (VLDB) | January 2009
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Power Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
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An Object-oriented Core for XML Schema
Suad Alagic, Phil Bernstein
MSR-TR-2008-182 | December 2008
Revised May 2009
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Mapping XSD to OO Schemas
Suad Alagic, Phil Bernstein
MSR-TR-2008-183 | December 2008
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Structure-based graph distance measures of high degree of precision
Yanghua Xiao, Hua Dong, Wentao Wu, Momiao Xiong, Wei Wang, Baile Shi
Pattern Recognition (PR) | December 2008, Vol 41: pp. 3547-3561
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Provenance Algebra and Materialized View-based Provenance Management
Satya S. Sahoo, Roger S. Barga, Jonathan Goldstein, Amit P. Sheth
MSR-TR-2008-170 | November 2008
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Entity Categorization over Large Document Collections
Venky Ganti, Arnd Christian König, Rares Vernica
14th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008) | August 2008
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A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
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An Efficient Filter for Approximate Membership Checking
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008) | June 2008
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Incorporating String Transformations in Record Matching
Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
SIGMOD | June 2008
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ProSem: Scalable Wide-Area Publish/Subscribe
Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng
2008 ACM SIGMOD International Conference on Management of Data (SIGMOD ’08) | June 2008
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Transformation-based Framework for Record Matching
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
Proceedings of the 24th International Conference on Data Engineering, ICDE 2008 | June 2008
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Symmetry-based structure entropy of complex networks
Yanghua Xiao, Wentao Wu, Hui Wang, Momiao Xiong, Wei Wang
Physica A: Statistical Mechanics and its Applications | April 2008, Vol 387: pp. 2611-2619
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BLEWS: Using Blogs to Provide Context for News Articles
Michael Gamon, Sumit Basu, Dmitriy Belenko, Danyel Fisher, Matthew Hurst, Arnd Christian König
2nd AAAI Conference on Weblogs and Social Media (ICWSM 2008) | April 2008
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Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
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Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination
Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He
13th International Conference on Database Systems for Advanced Applications (DASFAA 2008) | March 2008
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Constrained Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
-
Scalable Adhoc Entity Extraction from Text Collections
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
VLDB Conference | January 2008
VLDB Conference
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Consistency Sensitive Operators in CEDR
Jonathan Goldstein, Mingsheng Hong, Mohamed Ali,
MSR-TR-2007-158 | December 2007
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Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
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Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
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Heavy-Tailed Distributions and Multi-Keyword Queries
Surajit Chaudhuri, Kenneth Church, Liying Sui, Arnd Christian König, Arnd Christian König, Ken Church
30th ACM SIGIR International Conference on Research & Developement on Information Retreival | July 2007
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EaseDB: a cache-oblivious in-memory query processor
Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang
Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007 | June 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
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Translating Schemas and Data Between Metamodels
Peter Mork, Philip A. Bernstein, Sergey Melnik, Phil Bernstein
MSR-TR-2007-36 | April 2007
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An Online Approach to Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
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Consistent Streaming Through Time: A Vision for Event Stream Processing
Roger Barga, Jonathan Goldstein, Mohamed Ali, Mingsheng Hong,
3rd Biennial Conference on Innovative Data Systems Research (CIDR 2007) | January 2007
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Example Driven Design of Efficient Record Matching Queries
Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
VLDB | January 2007
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Leveraging Aggregate Constraints for Deduplication
Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
SIGMOD | January 2007
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Online autoadmin: (physical design tuning)
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2007
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Physical design refinement: The merge-reduce approach
Nicolas Bruno, Surajit Chaudhuri
Transactions on Database Systems | January 2007
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Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
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An Online Bibliography on Schema Evolution
Erhard Rahm, Phil Bernstein
MSR-TR-2006-141 | October 2006
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Efficient Exact Set-Similarity Joins
Arvind Arasu, Venky Ganti, Raghav Kaushik
Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB 2006 | August 2006
Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB 2006
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Relaxed Currency Serializability for Middle-Tier Caching and Replication (extended version)
Phil Bernstein, Alan Fekete, Hongfei Guo, Raghu Ramakrishnan, Pradeep Tamma
MSR-TR-2006-34 | June 2006
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Automating Physical Database Design: Workload as a Sequence
Sanjay Agrawal, Eric Chu, Vivek Narasayya
SIGMOD | June 2006
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The CQL Continuous Query Language: Semantic Foundations and Query Execution
Arvind Arasu, Shivnath Babu, Jennifer Widom
VLDB Journal | June 2006
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A Primitive Operator for Similarity Joins in Data Cleaning
Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
ICDE | January 2006
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AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
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Generating Queries with Cardinality Constraints for DBMS Testing
Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
Transactions on Knowledge and Data Engineering | January 2006
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Reducing the Human Overhead in Text Categorization
Arnd Christian König, Eric Brill
Proceedings of KDD 2006 | January 2006
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Robust Cardinality and Cost Estimation for Skyline Operator
Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
ICDE | January 2006
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Scalable Exploration of Physical Database Design
Arnd Christian König, Shubha U. Nabar
22nd International Conference on Data Engineering | January 2006
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To Tune or not to Tune? A Lightweight Physical Design Alerter
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2006
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Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
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Efficient Computation of Multiple Group-By Queries
Vivek Narasayya, Zhimin Chen
SIGMOD | June 2005
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Partially Materialized Views
Jingren Zhou, Paul Larson, Jonathan Goldstein
MSR-TR-2005-77 | June 2005
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Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Jonathan Goldstein, John Platt, Chris J.C. Burges
May 2005
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Automatic Physical Database Tuning: A Relaxation-based Approach
Nicolas Bruno, Surajit Chaudhuri
Proceedings of the ACM International Conference on Management of Data (SIGMOD) | January 2005
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Flexible Database Generators
Nicolas Bruno, Surajit Chaudhuri
January 2005
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When Can we Trust Progress Estimators for SQL Queries?
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
SIGMOD | January 2005
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Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
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Resource Sharing in Continuous Sliding-Window Aggregates
Arvind Arasu, Jennifer Widom
Proceedings of the 30th International Conference on Very Large Data Bases (VLDB 2004) | August 2004
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Approximate Counts and Quantiles over Sliding Windows
Gurmeet Singh Manku, Arvind Arasu
Proceedings of the 23rd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, PODS 2004 | June 2004
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A Semantics for Model Management Operators
Sergey Melnik, Philip A. Bernstein, Alon Halevy, Erhard Rahm, Phil Bernstein
MSR-TR-2004-59 | June 2004
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Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
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Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design
Sanjay Agrawal, Vivek Narasayya, Beverly Yang
SIGMOD | June 2004
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Characterizing memory requirements for queries over continuous data streams
Arvind Arasu, Brian Babcock, Shivnath Babu, Jon McAlister, Jennifer Widom
ACM Transactions on Database Systems (TODS) | March 2004
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SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
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Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
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Conditional Selectivity for Statistics on Query Expressions
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2004
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Challenges in Precisely Aligning Models of Human Anatomy Using Generic Schema Matching
Peter Mork, Rachel A. Pottinger, Phil Bernstein
MSR-TR-2003-76 | September 2003
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Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
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Extracting structured data from Web pages
Arvind Arasu, Hector Garcia-Molina
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data | June 2003
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The Lowell Database Research Self Assessment
Stan Zdonik, Jennifer Widom, Gerhard Weikum, Jeff Ullman, Rick Snodgrass, Mike Stonebraker, Avi Silberschatz, Timos Sellis, Hans Schek, Jeff Naughton, David Maier, Serge Abiteboul, Rakesh Agrawal, Phil Bernstein, Mike Carey, Stefano Ceri, Bruce Croft, David DeWitt, Mike Franklin, Hector Garcia Molina, Dieter Gawlick, Jim Gray, Laura Haas, Alon Halevy, Joe Hellerstein, Yannis Ioannidis, Martin Kersten, Michael Pazzani, Mike Lesk
MSR-TR-2003-69 | June 2003
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Databases and IR: Perspectives of a SQL Guy
NSF Information and Data Management PI Workshop | January 2003
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On Relational Support for XML Publishing: Beyond Sorting and Tagging
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
SIGMOD | January 2003
SIGMOD
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
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Reliability in Single Domain vs. Multi Domain Optical Mesh Networks
A. A. Akyamac, Sudipta Sengupta, Surajit Chaudhuri
National Fiber Optic Engineers Conference (NFOEC) 2002, Dallas (USA) | October 2002
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DBXplorer: Enabling Keyword Search over Relational Databases
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
ACM SIGMOD 2002 | June 2002
ISBN: 1-58113-497-5
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Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
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Analysis of Enhanced OSPF for Routing Lightpaths in Optical Mesh Networks
Sudipta Sengupta, D. Saha, Surajit Chaudhuri
IEEE International Conference on Communications (ICC) 2002, New York (USA) | April 2002
ISBN: 0-7803-7400-2
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A Framework for the Physical Design Problem for Data Synopses
Arnd Christian König, Arnd Christian Konig, Gerhard Weikum
EDBT 2002 – Advances in Database Technology | January 2002
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Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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Generic Schema Matching With Cupid
Jayant Madhavan, Phil Bernstein, Erhard Rahm
MSR-TR-2001-58 | August 2001
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
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Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
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Comparison of Centralized and Distributed Provisioning of Lightpaths in Mesh Restored Optical Networks
Ravi Ramamurthy, Sudipta Sengupta, Surajit Chaudhuri
Optical Fiber Communication (OFC) Conference, Anaheim (USA) | March 2001
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STHoles: A Multidimensional Workload-Aware Histogram
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
MSR-TR-2001-36 | March 2001
Published by Microsoft
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On Matching Schemas Automatically
Erhard Rahm, Phil Bernstein
MSR-TR-2001-17 | February 2001
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Capacity Performance of Dynamic Provisioning in Optical Networks
Ravi Ramamurthy, Z. Bogdanowicz, S. Samieian, D. Saha, B. Rajagopalan, Sudipta Sengupta, Surajit Chaudhuri, K. Bala
Invited paper, IEEE/OSA Journal of Lightwave Technology | January 2001, Vol 19(1): pp. 40-48
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
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A Vision for Management of Complex Models
Phil Bernstein, Alon Y. Levy, Rachel A. Pottinger
MSR-TR-2000-53 | June 2000
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Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
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Integration of Data Mining and Relational Databases
Amir Netz, Jeff Bernhardt, Usama Fayyad, Surajit Chaudhuri
Proceedings of the 26th International Conference on Very Large Databases | January 2000
Proceedings of the 26th International Conference on Very Large Databases
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Accurate Query Optimization by Sub-plan Memoization
Ashraf Aboulnaga, Surajit Chaudhuri
MSR-TR-1999-102 | December 1999
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On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
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Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
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Microsoft Repository Version 2 and The Open Information Model
Phil Bernstein, Thomas Bergstraesser, Jason Carlson, Shankar Pal, Paul Sanders, David Shutt
Information Systems | April 1999, Vol 24(2): pp. 71-98
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Towards Self-Tuning Memory Management for Data Servers
Gerhard Weikum, Arnd Christian König, Arnd Christian König, Achim Kraiss, Marcus Sinnwell
Data Engineering Bulletin | January 1999, Vol 22(2)
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The Asilomar Report on Database Research
Phil Bernstein, et al
MSR-TR-98-57 | September 1998
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AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
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Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
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An Overview of Query Optimization in Relational Systems (paper)
January 1998
Proceedings of 1998 ACM PODS
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An Overview of Query Optimization in Relational Systems (slides)
Proceedings of 1998 ACM PODS | January 1998
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On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
Goetz Graefe, Usama Fayyad, Surajit Chaudhuri
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | January 1998
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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The Microsoft Repository
Phil Bernstein, Brian Harry, Paul Sanders, David Shutt, Jason Zander
VLDB 1997 | August 1997
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An Overview of Data Warehousing and OLAP Technology
Surajit Chaudhuri, Umeshwar Dayal
Sigmod Record | March 1997
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A Critique of ANSI SQL Isolation Levels
Hal Berenson, Phil Bernstein, Jim Gray, Jim Melton, Elizabeth O'Neil, Patrick O'Neil
MSR-TR-95-51 | June 1995
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Fast Maintenance of Integrity Assertions Using Redundant Aggregate Data
Phil Bernstein, Barbara T. Blaustein, Edmond M. Clarke
International Conference on Very Large Data Bases | September 1980
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Timestamp-Based Algorithms for Concurrency Control in Distributed Database Systems
Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1980
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What Does Boyce-Codd Normal Form Do
Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1980
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A Sophisticate’s Introduction to Database Normalization Theory
Catriel Beeri, Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1978
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
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Microsoft Repository Version 2 and The Open Information Model
Phil Bernstein, Thomas Bergstraesser, Jason Carlson, Shankar Pal, Paul Sanders, David Shutt
Information Systems | April 1999, Vol 24(2): pp. 71-98
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Towards Self-Tuning Memory Management for Data Servers
Gerhard Weikum, Arnd Christian König, Arnd Christian König, Achim Kraiss, Marcus Sinnwell
Data Engineering Bulletin | January 1999, Vol 22(2)
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The Asilomar Report on Database Research
Phil Bernstein, et al
MSR-TR-98-57 | September 1998
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The Microsoft Repository
Phil Bernstein, Brian Harry, Paul Sanders, David Shutt, Jason Zander
VLDB 1997 | August 1997
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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Fast Maintenance of Integrity Assertions Using Redundant Aggregate Data
Phil Bernstein, Barbara T. Blaustein, Edmond M. Clarke
International Conference on Very Large Data Bases | September 1980
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What Does Boyce-Codd Normal Form Do
Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1980
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Timestamp-Based Algorithms for Concurrency Control in Distributed Database Systems
Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1980
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A Sophisticate’s Introduction to Database Normalization Theory
Catriel Beeri, Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1978
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Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
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Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2025) | April 2025
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Netherite: Efficient Execution of Serverless Workflows (Extended Journal Version)
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum (cgillum), David Justo (dajusto), Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB J. | February 2025, Vol 34: pp. 25
Special Issue "Best of VLDB 2022"
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QURE: AI-assisted and Automatically Verified UDF Inlining
Tarique Siddiqui, Arnd Christian König, Jiashen Cao, Cong Yan, Shuvendu Lahiri (shuvendu)
Proceedings of the ACM on Management of Data (SIGMOD 2025) | February 2025, Vol 3
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Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
IEEE Transactions on Knowledge and Data Engineering | January 2025, Vol 37(1): pp. 379-391
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FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Stream
Zheng Qin, Zheheng Liang, Lijie Xu, Wentao Wu, Mingchao Wu, Wuqiang Shen, Wei Wang
IEEE 41st International Conference on Data Engineering (ICDE 2025) | January 2025
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Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
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SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, Uday Bondhugula
2024 Symposium on Operating Systems Principles | November 2024
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Budget-aware Query Tuning: An AutoML Perspective
Wentao Wu, Chi Wang
SIGMOD Record | October 2024, Vol 53(3): pp. 20-26
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Cloud Actor-Oriented Database Transactions in Orleans
Tamer Eldeeb, Sebastian Burckhardt, Reuben Bond, Asaf Cidon, Junfeng Yang, Phil Bernstein
Proc. VLDB Endow. | July 2024, Vol 17: pp. 3720-3730
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Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, Vol 2(3)
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Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, Vol 2(1)
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Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
VLDB Journal | February 2024
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Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
International Conference on Learning Representations (ICLR 2024) | January 2024
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ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
SIGMOD Record | December 2023, Vol 52(4): pp. 19-30
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How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
VLDB Journal | December 2023
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service
Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek Narasayya
50th International Conference on Very Large Databases | September 2023
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Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, Vol 16(11): pp. 2871-2883
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A Systematic Evaluation of Machine Learning on Serverless Infrastructure
Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
VLDB Journal | August 2023, Vol 33(2): pp. 425-449
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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Selection Pushdown in Column Stores using Bit Manipulation Instructions
Yinan Li, Jianan Lu, Badrish Chandramouli
2023 ACM SIGMOD Conference | June 2023
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Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
SIGMOD 2023 | June 2023
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Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
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Generating Test Databases for Database-Backed Applications
Cong Yan, Suman Nath, Shan Lu
ICSE’23 | May 2023
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Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
IEEE 39th International Conference on Data Engineering (ICDE 2023) | April 2023
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T-ReX: Optimizing Pattern Search on Time Series (Extended Version)
Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
MSR-TR-2023-12 | March 2023
Published by Microsoft
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High-Performance Row Pattern Recognition Using Joins
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
Proceedings of the VLDB Endowment | February 2023, Vol 16(5): pp. 1181-1194
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FastVer2: A Provably Correct Monitor for Concurrent, Key-Value Stores
Arvind Arasu, Tahina Ramananandro, Aseem Rastogi, Nikhil Swamy, Aymeric Fromherz, Kesha Hietala, Bryan Parno, Ravi Ramamurthy
Certified Programs and Proofs | January 2023
Accepted for publication, to appear
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Tenant Placement in Over-subscribed Database-as-a-Service Clusters
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya
48th International Conference on Very Large Databases | September 2022
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Expressive Querying for Accelerating Visual Analytics
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
Communications of the ACM (CACM) | July 2022, Vol 65(7)
Research Highlight
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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Optimizing Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
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Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates
Wentao Wu, Phil Bernstein, Alex Raizman, Christina Pavlopoulou
IEEE 38th International Conference on Data Engineering (ICDE 2022) | May 2022
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High-Performance Row Pattern Recognition Using Joins (Technical Report)
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
MSR-TR-2022-34 | May 2022
Published by Microsoft
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
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Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning
Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
SIGMOD | April 2022
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Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts
Beibin Li, Yao Lu, Srikanth Kandula
SIGMOD | April 2022
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Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
SIGMOD Record | March 2022
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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CompuCache: Remote Computable Caching using Spot VMs
Qizhen Zhang, Phil Bernstein, Daniel S. Berger, Badrish Chandramouli, Boon Thao Loo, Vincent Liu
Conference on Innovative Data Systems Research (CIDR 2022) | January 2022
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Redy: Remote Dynamic Memory Cache
Qizhen Zhang, Phil Bernstein, Daniel Berger (daberg), Badrish Chandramouli
VLDB 2022 | December 2021
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Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
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Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
MSR-TR-2021-29 | September 2021
Published by Microsoft
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
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Cardinality Estimation: Is Machine Learning a Silver Bullet?
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
AIDB | August 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Hyperspace: The Indexing Subsystem of Azure Synapse
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
-
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
-
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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The Case for ML-Enhanced High-Dimensional Indexes
Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
AIDB@VLDB 2021 | July 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Published by Microsoft Research
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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FastVer: Making Data Integrity a Commodity
Arvind Arasu, Aseem Rastogi, Badrish Chandramouli, Donald Kossmann, Esha Ghosh, Johannes Gehrke, Nikhil Swamy, Jonathan Protzenko, Ravi Ramamurthy, Srinath Setty, Tahina Ramananandro, Alexander van Renen, Min Xu
SIGMOD | June 2021
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Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd’s table
Wentao Wu, Ce Zhang
DEEM@SIGMOD 2021 | June 2021
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Asynchronous Prefix Recoverability for Fast Distributed Stores
Tianyu Li, Badrish Chandramouli, Jose Faleiro, Donald Kossmann, Sam Madden
SIGMOD 2021 | June 2021
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Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2021) | June 2021
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Instance-Optimized Data Layouts for Cloud Analytics Workloads
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
SIGMOD 2021 | June 2021
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From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
ACM SIGMOD Record | May 2021
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Economical Hyperparameter Optimization with Blended Search Strategy
Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
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Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
-
FLAML: A Fast and Lightweight AutoML Library
Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
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Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
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A Data Quality-Driven View of MLOps
Cedric Renggli, Luka Rimanic, Nezihe Merve Gurel, Bojan Karlas, Wentao Wu, Ce Zhang
IEEE Data Engineering Bulletin | March 2021, Vol 44(1): pp. 11-23
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Magpie: Python at Speed and Scale using Cloud Backends
Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
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Model Averaging in Distributed Machine Learning: A Case Study with Apache Spark
Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li
VLDB Journal | January 2021
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Ease.ML: A Lifecycle Management System for MLDev and MLOps
Leonel Aguilar, David Dao, Shaoduo Gan, Nezihe Merve Gurel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Rao, Johannes Rausch, Cedric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Conference on Innovative Data Systems Research (CIDR 2021) | January 2021
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Three lessons from accelerating scientific insight discovery via visual querying
Doris Lee, Tarique Siddiqui, Karrie Karahalios, Aditya Parameswaran
Patterns | October 2020
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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Approximate Partition Selection for BigData Workloads using Summary Statistics
Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis
VLDB | August 2020
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
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Helios: Hyperscale Indexing for the Cloud & Edge
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2020) | July 2020
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Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2020) | July 2020
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Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2020
-
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
ACM SIGMOD | June 2020
Best Paper
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Building Continuous Integration Services for Machine Learning
Bojan Karlas, Matteo Interlandi, Cedric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) | June 2020
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Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
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Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Ake Larson, Donald Kossmann, Rajeev Acharya
SIGMOD 2020 | June 2020
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Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
June 2020
-
Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
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ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska
MSR-TR-2020-12 | May 2020
Published by Microsoft
SIGMOD 2020 | June 2020
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ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent
Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang
IEEE International Conference on Data Engineering (ICDE 2020) | April 2020
-
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
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Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
SIGMOD 2020: International Conference on Management of Data | February 2020
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You can’t always sketch what you want: Understanding Sensemaking in Visual Query Systems
Doris Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya Parameswaran
IEEE Transactions on Visualization and Computer Graphics | August 2019
-
FishStore: Fast Ingestion and Indexing of Raw Data
Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann
PVLDB Vol. 12 No. 12 | August 2019
Demo paper
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Contextual Fact Ranking and Its Applications in Table Synthesis and Compression
Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD) | August 2019
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
-
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, Vol 12(12)
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Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 2019
-
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
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Resurrecting Middle-Tier Distributed Transactions
Bulletin of the Technical Committee on Data Engineering | June 2019, Vol 42(2): pp. 3-6
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Speculative Distributed CSV Data Parsing for Big Data Analytics
Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
-
FishStore: Faster Ingestion with Subset Hashing
Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
-
Concurrent Prefix Recovery: Performing CPR on a Database
Guna Prasaad, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
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Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization
Cedric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2019) | May 2019
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
-
Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
Chen Zhao, Yeye He
WWW – World Wide Web Consortium (W3C) | May 2019
-
CRA: Enabling Data-Intensive Applications in Containerized Environments
Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas
35th IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
-
MLlib*: Fast Training of GLMs using Spark MLlib
Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui
IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
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Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
Cedric Renggli, Bojan Karlaš, Bolin Ding, Feng Liu, Wentao Wu, Ce Zhang
SysML Conference (SysML 2019) | April 2019
-
CRA: A Common Runtime for Applications
Badrish Chandramouli, Umar Farooq Minhas, Ibrahim Sabek
MSR-TR-2019-2 | February 2019
Published by Microsoft
https://github.com/Microsoft/CRA
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
-
Serverless Event-Stream Processing over Virtual Actors
Phil Bernstein, Todd Porter, Rahul Potharaju, Shivaram Venkataraman, Wentao Wu
Conference on Innovative Data Systems Research (CIDR 2019) | January 2019
-
Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering
Bailu Ding, Lucja Kot, Johannes Gehrke
Proceedings of the VLDB Endowment (VLDB 2019) | January 2019
-
Leadership and Advocacy
Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker | Published by ACM and Morgan Claypool | 2018
-
SIGMOD 2018 Program Committee Chair’s Report
ACM SIGMOD Record | December 2018, Vol 47(4)
To appear.
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A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Published by Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
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ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
VLDB | August 2018
-
Adaptive Sampling for Rapidly Matching Histograms
Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
44th International Conference on Very Large Data Bases (VLDB) | August 2018
-
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
-
Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
-
FASTER: An Embedded Concurrent Key-Value Store for State Management
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
Demo Paper | July 2018
-
Transform-Data-by-Example: An Extensible Search Engine for Data Transformations
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek Narrasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | June 2018
-
Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
-
Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
-
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
SIGMOD | June 2018
-
Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
-
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
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FASTER: A Concurrent Key-Value Store with In-Place Updates
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
2018 ACM SIGMOD International Conference on Management of Data (SIGMOD ’18), Houston, TX, USA | June 2018
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Optimally leveraging density and locality for exploratory browsing and sampling
Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Sam Madden, Aditya Parameswaran
HILDA@SIGMOD | June 2018
-
Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets
Yihan Gao, Silu Huang, Aditya Parameswaran
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2018
-
MLBench: Benchmarking Machine Learning Services Against Human Experts
Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
-
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
-
Actor-Oriented Database Systems
Proceedings of the 2018 IEEE 34th International Conference on Data Engineering | April 2018
ISBN: ISBN-13: 978-1-5386-5520-7
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Impatience is a Virtue: Revisiting Disorder in High-Performance Log Analytics
Badrish Chandramouli, Jonathan Goldstein, Yinan Li
34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France | April 2018
-
RC-Index: Diversifying Answers to Range Queries
Yue Wang, Alexandra Meliou, Gerome Miklau
International Conference on Very Large Data Bases (PVLDB) | March 2018, Vol 11: pp. 773-786
Proc. VLDB Endow.
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Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | February 2018
-
How Good Are Machine Learning Clouds for Binary Classification with Good Features?
Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the 2017 Symposium on Cloud Computing (SoCC 2017) | September 2017
-
Discovering Enterprise Concepts Using Spreadsheet Tables
Keqian Li, Yeye He, Kris Ganjam
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
-
OrpheusDB: Bolt-on Versioning for Relational Databases
Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
43th International Conference on Very Large Data Bases (VLDB) | August 2017
-
MLog: Towards Declarative In-Database Machine Learning
Bin Cui, Xupeng Li, Yiru Chen, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2017) | August 2017
-
Mison: A Fast JSON Parser for Data Analytics
Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann
The 43rd International Conference on Very Large Data Bases (VLDB 2017) | June 2017
-
Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
-
Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
-
Enabling Signal Processing over Data Streams
Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein
SIGMOD 2017, May 14-19, 2017, Chicago, Illinois, USA | May 2017
-
An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision
Ce Zhang, Wentao Wu, Tian Li
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics (HILDA@SIGMOD 2017) | May 2017
-
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
-
Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
International Conference on Management of Data (SIGMOD) | May 2017
-
OrpheusDB: A Lightweight Approach to Relational Dataset Versioning
Liqi Xu, Silu Huang, Sili Hui, Aaron J. Elmore, Aditya Parameswaran
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD DEMO) | May 2017
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Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
33rd IEEE International Conference on Data Engineering (ICDE 2017) | April 2017
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Towards Interactive Debugging of Rule-based Entity Matching
Fatemah Panahi, Wentao Wu, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 20th International Conference on Extending Database Technology (EDBT 2017) | March 2017
-
Towards Visualization Recommendation Systems
Manasi Vartak, Silu Huang, Tarique Siddiqui, Sam Madden, Aditya Parameswaran
SIGMOD Record | March 2017
-
Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE) | February 2017, Vol 29: pp. 446-457
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READY: Completeness is in the Eye of the Beholder
Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Moritz Hoffmann, Donald Kossmann, Justin Levandoski, Renato Marroquin, Wenlei Xie
8th Biennial Conference on Innovative Data Systems Research (CIDR 2017) | January 2017
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Fast-Forwarding to Desired Visualizations with Zenvisage
Tarique Siddiqui, John Lee, Alber Kim, Edward xue, Chaoran Wang, Yuxuan Zou, Changfeng Liu, Lijin Guo, Xiaofo Yu, Karrie Karahalios, Aditya Parameswaran
CIDR | January 2017
-
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
International Conference on Very Large Databases (PVLDB Vol. 10, Issue. 5) | January 2017
-
Transactions for Distributed Actors in the Cloud
Tamer Eldeeb, Phil Bernstein
MSR-TR-2016-1001 | October 2016
-
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora
Tarique Siddiqui, Xiang Ren, Aditya Parameswaran, Jiawei Han
CIKM | October 2016
-
Effortless data exploration with zenvisage: an expressive and interactive visual analytics system
Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya Parameswaran
VLDB | October 2016
-
Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 2016
-
Quill: Efficient, Transferable, and Rich Analytics at Scale
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
International Conference on Very Large Databases (PVLDB Vol. 9, Issue. 14) | September 2016
-
The Quill Distributed Analytics Library and Platform
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
MSR-TR-2016-25 | August 2016
Technical Report
-
Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
-
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
MSR-TR-2016-15 | June 2016
-
Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams
Arnd Christian König, Anshumali Srivastava, Misha Bilenko
ACM SIGMOD Conference | June 2016
ACM SIGMOD Conference
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Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
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Plan Bouquets: A Fragrant Approach to Robust Query Processing
Anshuman Dutt, Jayant R. Haritsa
ACM Trans. Database Syst. | June 2016, Vol 41: pp. 0.459027778-0.484027778
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2016
-
Sampling-Based Query Re-Optimization
Wentao Wu, Jeffrey F. Naughton, Harneet Singh
Proceedings of the 2016 International Conference on Management of Data (SIGMOD 2016) | June 2016
-
Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
Sudipto Das, Feng Li, Vivek Narasayya, Arnd Christian König
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
-
Accelerating Relational Databases by Leveraging Remote Memory and RDMA
Feng Li, Sudipto Das, Manoj Syamala, Vivek Narasayya
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
-
Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
-
ICE: Managing Cold State for Big Data Applications
Badrish Chandramouli, Justin Levandoski, Eli Cortez
IEEE International Conference on Data Engineering (ICDE) | May 2016
-
Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora
Yeye He, Kaushik Chakrabarti, Tomasz Tylenda
WWW – World Wide Web Consortium (W3C) | April 2016
-
Tempe: Live Scripting For Live Data
Robert DeLIne, Danyel Fisher, Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger, John Wernsing
Visual Languages and Human-Centric Computing (VL/HCC), 2015 IEEE Symposium on | October 2015
ISBN: 978-1-4673-7457-6
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Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff.
Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya Parameswaran
41th International Conference on Very Large Data Bases (VLDB) | August 2015
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Trill: A High-Performance Incremental Query Processor for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John Platt, James Terwilliger, John Wernsing, Robert DeLIne
August 2015
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
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The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis
Sudip Roy, Lucja Kot, Gabriel Bender, Bailu Ding, Hossein Hojjat, Christoph Koch, Nate Foster, Johannes Gehrke
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
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Optimizing optimistic concurrency control for tree-structured, log-structured databases
Phil Bernstein, Sudipto Das, Bailu Ding, Markus Pilman
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
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Centiman: Elastic, high performance optimistic concurrency control by watermarking
Bailu Ding, Lucja Kot, Alan Demers, Johannes Gehrke
Proceedings of the Sixth ACM Symposium on Cloud Computing | July 2015
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Towards a Unified Query Language for Provenance and Versioning
Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Sam Madden, Aditya Parameswaran
7th USENIX Workshop on the Theory and Practice of Provenance (TaPP) | July 2015
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Minimum Spanning Trees in Temporal Graphs
Silu Huang, Ada Wai-Chee Fu, Ruifeng Liu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2015
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
-
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora
Yeye He, Kris Ganjam, Xu Chu
International Conference on Very Large Databases (VLDB) | June 2015
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A Padded Encoding Scheme to Accelerate Scans by Leveraging Skew
Yinan Li, Craig Chasseur, Jignesh M. Patel
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 – June 4, 2015 | June 2015
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TEGRA: Table Extraction by Global Record Alignment
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
International Conference on Management of Data (SIGMOD) | May 2015
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Concept Expansion Using Web Tables
Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein
Proceeding of 2015 International World Wide Web Conference | May 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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PerfAugur: Robust Diagnostics for Performance Anomalies in Cloud Services
Sudip Roy, Arnd Christian König, Arnd Christian König, Igor Dvorkin, Manish Kumar
ICDE – 31st International Conference on Data Engineering | April 2015
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
31st IEEE International Conference on Data Engineering (ICDE) | April 2015
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Scaling Optimistic Concurrency Control by Approximately Partitioning the Certifier and Log
Phil Bernstein, Sudipto Das
IEEE Data Engineering Bulletin | March 2015, Vol Jan-38
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On Debugging Non-Answers in Keyword Search Systems
Akanksha Baid, Wentao Wu, Chong Sun, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 18th International Conference on Extending Database Technology (EDBT 2015) | March 2015
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
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ClusterJoin: A Similarity Joins Framework using Map-Reduce
Akash Das Sarma, Yeye He, Surajit Chaudhuri
Proceedings of International Conference on Very Large Databases (VLDB) | September 2014
Proceedings of International Conference on Very Large Databases (VLDB)
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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WideTable: An Accelerator for Analytical Data Processing
Yinan Li, Jignesh M. Patel
PVLDB | September 2014, Vol 7(10): pp. 907-918
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k-Balanced sorting and skew join in MPI and MapReduce
Silu Huang, Ada Wai-Chee Fu
2014 IEEE International Conference on Big Data (Big Data) | August 2014
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Path Problems in Temporal Graphs
Huanhuan Wu, James Cheng, Silu Huang, Yiping Ke, Yi Lu, Yanyan Xu
40th International Conference on Very Large Data Bases (VLDB) | August 2014
-
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
-
Scalable Progressive Analytics on Big Data in the Cloud
Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar
MSR-TR-2013-78 | August 2014
International Conference on Very Large Databases (PVLDB Vol. 6, Issue. 14)
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
MSR-TR-2014-106 | August 2014
-
Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
-
Uncertainty Aware Query Execution Time Prediction
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2014) | August 2014
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Plan Bouquets: Query Processing without Selectivity Estimation
Anshuman Dutt, Jayant R. Haritsa
SIGMOD 2014 | June 2014
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Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Jonathan Goldstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
2014 ACM SIGMOD Conference | June 2014
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The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
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On Load Shedding in Complex Event Processing
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Database Theory (ICDT) | March 2014
-
Oblivious Query Processing
Arvind Arasu, Raghav Kaushik
17th International Conference on Database Theory (ICDT) | March 2014
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Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, Vol 37: pp. 38-47
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Temporal Graph Traversals: Definitions, Algorithms, and Applications
Silu Huang, James Cheng, Huanhuan Wu
January 2014
January 2014
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A General Streaming Algorithm for Pattern Discovery
Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Knowledge and Information Systems | December 2013, Vol 37(3): pp. 585-610
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CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
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Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads
Wentao Wu, Yun Chi, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2013) | August 2013
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TF-Label: a topological-folding labeling scheme for reachability querying in a large graph
James Cheng, Silu Huang, Huanhuan Wu, Ada Wai-Chee Fu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | July 2013
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Rethinking Eventual Consistency
Phil Bernstein, Sudipto Das
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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BitWeaving: fast scans for main memory data processing
Yinan Li, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 | June 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013
ISBN: 978-1-4503-2037-5
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Enabling JSON Document Stores in Relational Systems
Craig Chasseur, Yinan Li, Jignesh M. Patel
Proceedings of the 16th International Workshop on the Web and Databases 2013, WebDB 2013, New York, NY, USA, June 23, 2013. | June 2013
Proceedings of the 16th International Workshop on the Web and Databases 2013, WebDB 2013, New York, NY, USA, June 23, 2013.
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Predicting query execution time: Are optimizer cost models really unusable?
Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton
29th IEEE International Conference on Data Engineering (ICDE 2013) | April 2013
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Crawling Deep-web Entity Pages
Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman
Proceedings of International Conference on Web Search and Data Mining (WSDM) | January 2013
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SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Utility-Maximizing Event Stream Suppression
Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton
Proceedings of International Conference on Management of Data (SIGMOD) | January 2013
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NUMA-aware algorithms: the case of data shuffling
Yinan Li, Ippokratis Pandis, René Müller, Vijayshankar Raman, Guy M. Lohman
CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings | January 2013
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WHAM: A High-Throughput Sequence Alignment Method
Yinan Li, Jignesh M. Patel, Allison Terrell
ACM Trans. Database Syst. | December 2012, Vol 37(4): pp. 28
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
-
Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
-
Probase: a probabilistic taxonomy for text understanding
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
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Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
28th International Conference on Data Engineering (ICDE ’12) | April 2012
28th International Conference on Data Engineering (ICDE '12)
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Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
28th International Conference on Data Engineering (ICDE ’12) | April 2012
Best Paper Award
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
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InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
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Mapping XML to a Wide Sparse Table
Phil Bernstein, Liang Jeff Chen, Peter Carlin, Dimitrije Filipovic , Michael Rys, Nikita Shamgunov, James F. Terwilliger, Milos Todic, Sasa Tomasevic, Dragan Tomic
IEEE Transactions on Knowledge and Data Engineering | December 2011, Vol 26(6)
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Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
-
Online Visualization of Geospatial Stream Data using the WorldWide Telescope
Mohamed Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Drucker, Balan S. Raman
International Conference on Very Large Databases (VLDB) | August 2011
International Conference on Very Large Databases (VLDB)
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Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
MSR-TR-2011-82 | July 2011
-
StreamRec: A Real-Time Recommender System
Badrish Chandramouli, Justin Levandoski, Ahmed Eldawy, Mohamed F. Mokbel
ACM SIGMOD International Conference on Management of Data (SIGMOD 2011) | June 2011
-
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
MSR-TR-2011-87 | June 2011
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Design and evaluation of main memory hash join algorithms for multi-core CPUs
Spyros Blanas, Yinan Li, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 | June 2011
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WHAM: a high-throughput sequence alignment method
Yinan Li, Allison Terrell, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 | June 2011
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SEISA: Set Expansion by Iterative Similarity Aggregation
Yeye He, Dong Xin
Proceedings of International World Wide Web Conference (WWW) | April 2011
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Database Access Control & Privacy: Is There A Common Ground?
Surajit Chaudhuri, Raghav Kaushik, Ravi Ramamurthy
Conference on Innovative Database Research | January 2011
Conference on Innovative Database Research
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Location-aware Click Prediction in Mobile local Search
Dimitrios Lymberopoulos, Peixiang Zhao, Arnd Christian König, Klaus Berberich, Jie Liu
Conference in Information and Knoweledge Management (CIKM) | January 2011
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On the Complexity of Privacy-Preserving Complex Event Processing
Yeye He, Siddharth Barman, Di Wang, Jeffery Naughton
Proceedings of the Principles of Database Systems (PODS) | January 2011
Proceedings of the Principles of Database Systems (PODS)
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Preventing Equivalence Attacks in Updated, Anonymized Data
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Data Engineering (ICDE) | January 2011
-
Hyder – A Transactional Record Manager for Shared Flash
Phil Bernstein, Colin Reid, Sudipto Das
CIDR | January 2011
Best Paper Award
-
Optimistic Concurrency Control by Melding Trees
Phil Bernstein, Colin Reid, Ming Wu, Xinhao Yuan
PVLDB | January 2011
-
Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
IEEE Computer | December 2010
-
Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
MSR-TR-2010-130 | September 2010
-
Object-Oriented Constraints for XML Schema
Suad Alagic, Phil Bernstein, Ruchi Jairath
ICOODB | September 2010
-
FD-Buffer: A Buffer Manager for Databases on Flash Disks
Sai Tung On, Yinan Li, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu
MSR-TR-2010-121 | September 2010
-
Tree Indexing on Solid State Drives
Yinan Li, Bingsheng He, Jun Yang, Qiong Luo, Ke Yi
PVLDB | September 2010
-
On Indexing Error-Tolerant Set Containment
Parag Agrawal, Arvind Arasu, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2010
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
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On Active Learning of Record Matching Packages
Arvind Arasu, Michaela Götz, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2010
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Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
-
Estimating the Compression Fraction of an Index Using Sampling
Vivek Narasayya, Ravi Ramamurthy, Raghav Kaushik, Stratos Idreos
International Conference on Data Engineering (ICDE) | March 2010
International Conference on Data Engineering (ICDE)
-
Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
-
k-symmetry model for identity anonymization in social networks
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zhihui Wang
EDBT 2010, 13th International Conference on Extending Database Technology (EDBT 2010) | March 2010
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Keyword++: A Framework to Improve Keyword Search Over Entity Databases
Venkatesh Ganti, Yeye He, Dong Xin
Proceedings of International Conference on Very Large Databases (VLDB) | January 2010
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Personalization as a service: the architecture and a case study
Hang Guo, Jidong Chen, Wentao Wu, Wei Wang
Proceedings of the First International CIKM Workshop on Cloud Data Management (CloudDb 2009) | November 2009
-
Learning String Transformations from Examples
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
VLDB | August 2009
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Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
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HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching
Arnab Nandi, Phil Bernstein
Proceedings of VLDB 2009 | August 2009
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A Declarative Entity Representation Framework
Arvind Arasu, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2009
-
Interactive Plan Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
SIGMOD | June 2009
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Tree Indexing on Flash Disks
Yinan Li, Bingsheng He, Qiong Luo, Ke Yi
Proceedings of the 25th International Conference on Data Engineering, ICDE 2009, March 29 2009 – April 2 2009, Shanghai, China | March 2009
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Efficiently indexing shortest paths by exploiting symmetry in graphs
Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He
12th International Conference on Extending Database Technology (EDBT 2009) | March 2009
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Power Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
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Anonymization of Set Valued Data via Top Down, Local Generalization
Yeye He, Jeffrey Naughton
Proceedings of International Conference on Very Large Database (VLDB) | January 2009
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Structure-based graph distance measures of high degree of precision
Yanghua Xiao, Hua Dong, Wentao Wu, Momiao Xiong, Wei Wang, Baile Shi
Pattern Recognition (PR) | December 2008, Vol 41: pp. 3547-3561
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An Efficient Filter for Approximate Membership Checking
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008) | June 2008
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Incorporating String Transformations in Record Matching
Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
SIGMOD | June 2008
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Symmetry-based structure entropy of complex networks
Yanghua Xiao, Wentao Wu, Hui Wang, Momiao Xiong, Wei Wang
Physica A: Statistical Mechanics and its Applications | April 2008, Vol 387: pp. 2611-2619
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BLEWS: Using Blogs to Provide Context for News Articles
Michael Gamon, Sumit Basu, Dmitriy Belenko, Danyel Fisher, Matthew Hurst, Arnd Christian König
2nd AAAI Conference on Weblogs and Social Media (ICWSM 2008) | April 2008
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Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination
Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He
13th International Conference on Database Systems for Advanced Applications (DASFAA 2008) | March 2008
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Constrained Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
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EaseDB: a cache-oblivious in-memory query processor
Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang
Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007 | June 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007
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Physical design refinement: The merge-reduce approach
Nicolas Bruno, Surajit Chaudhuri
Transactions on Database Systems | January 2007
-
Online autoadmin: (physical design tuning)
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2007
-
Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
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Leveraging Aggregate Constraints for Deduplication
Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
SIGMOD | January 2007
-
Relaxed Currency Serializability for Middle-Tier Caching and Replication (extended version)
Phil Bernstein, Alan Fekete, Hongfei Guo, Raghu Ramakrishnan, Pradeep Tamma
MSR-TR-2006-34 | June 2006
-
The CQL Continuous Query Language: Semantic Foundations and Query Execution
Arvind Arasu, Shivnath Babu, Jennifer Widom
VLDB Journal | June 2006
-
To Tune or not to Tune? A Lightweight Physical Design Alerter
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2006
-
Generating Queries with Cardinality Constraints for DBMS Testing
Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
Transactions on Knowledge and Data Engineering | January 2006
-
AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
-
Partially Materialized Views
Jingren Zhou, Paul Larson, Jonathan Goldstein
MSR-TR-2005-77 | June 2005
-
Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
-
Flexible Database Generators
Nicolas Bruno, Surajit Chaudhuri
January 2005
-
Resource Sharing in Continuous Sliding-Window Aggregates
Arvind Arasu, Jennifer Widom
Proceedings of the 30th International Conference on Very Large Data Bases (VLDB 2004) | August 2004
-
A Semantics for Model Management Operators
Sergey Melnik, Philip A. Bernstein, Alon Halevy, Erhard Rahm, Phil Bernstein
MSR-TR-2004-59 | June 2004
-
Conditional Selectivity for Statistics on Query Expressions
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2004
-
Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
-
A Framework for the Physical Design Problem for Data Synopses
Arnd Christian König, Arnd Christian Konig, Gerhard Weikum
EDBT 2002 – Advances in Database Technology | January 2002
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Comparison of Centralized and Distributed Provisioning of Lightpaths in Mesh Restored Optical Networks
Ravi Ramamurthy, Sudipta Sengupta, Surajit Chaudhuri
Optical Fiber Communication (OFC) Conference, Anaheim (USA) | March 2001
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Capacity Performance of Dynamic Provisioning in Optical Networks
Ravi Ramamurthy, Z. Bogdanowicz, S. Samieian, D. Saha, B. Rajagopalan, Sudipta Sengupta, Surajit Chaudhuri, K. Bala
Invited paper, IEEE/OSA Journal of Lightwave Technology | January 2001, Vol 19(1): pp. 40-48
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Netherite: Efficient Execution of Serverless Workflows (Extended Journal Version)
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum (cgillum), David Justo (dajusto), Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB J. | February 2025, Vol 34: pp. 25
Special Issue "Best of VLDB 2022"
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SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, Uday Bondhugula
2024 Symposium on Operating Systems Principles | November 2024
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Cloud Actor-Oriented Database Transactions in Orleans
Tamer Eldeeb, Sebastian Burckhardt, Reuben Bond, Asaf Cidon, Junfeng Yang, Phil Bernstein
Proc. VLDB Endow. | July 2024, Vol 17: pp. 3720-3730
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
Yongji Wu, Danyang Zhuo, Matthew Lentz, Yao Lu
VLDB | September 2023
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Generating Test Databases for Database-Backed Applications
Cong Yan, Suman Nath, Shan Lu
ICSE’23 | May 2023
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
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Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
MSR-TR-2021-29 | September 2021
Published by Microsoft
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
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OpenBox: A Generalized Black-box Optimization Service
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021) | August 2021
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Cardinality Estimation: Is Machine Learning a Silver Bullet?
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
AIDB | August 2021
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Approximate Partition Selection for BigData Workloads using Summary Statistics
Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis
VLDB | August 2020
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
SIGMOD 2020: International Conference on Management of Data | February 2020
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, Vol 12(12)
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A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Published by Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
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Actor-Oriented Database Systems
Proceedings of the 2018 IEEE 34th International Conference on Data Engineering | April 2018
ISBN: ISBN-13: 978-1-5386-5520-7
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Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
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Transactions for Distributed Actors in the Cloud
Tamer Eldeeb, Phil Bernstein
MSR-TR-2016-1001 | October 2016
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Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
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Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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PerfAugur: Robust Diagnostics for Performance Anomalies in Cloud Services
Sudip Roy, Arnd Christian König, Arnd Christian König, Igor Dvorkin, Manish Kumar
ICDE – 31st International Conference on Data Engineering | April 2015
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Scaling Optimistic Concurrency Control by Approximately Partitioning the Certifier and Log
Phil Bernstein, Sudipto Das
IEEE Data Engineering Bulletin | March 2015, Vol Jan-38
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Orleans: Distributed Virtual Actors for Programmability and Scalability
Phil Bernstein, Sergey Bykov, Alan Geller, Gabriel Kliot, Jorgen Thelin
MSR-TR-2014-41 | March 2014
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CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
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A Secure Coprocessor for Database Applications
Ravi Ramamurthy, Ken Eguro, Arvind Arasu, Raghav Kaushik, Donald Kossmann, Ramarathnam Venkatesan
23rd International Conference on Field Programmable Logic and Applications (FPL) | September 2013
23rd International Conference on Field Programmable Logic and Applications (FPL)
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Rethinking Eventual Consistency
Phil Bernstein, Sudipto Das
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
29th International Conference on Data Engineering (ICDE) | April 2013
Tutorial presentation
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Orthogonal Security With Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Ramarathnam Venkatesan
6th Biennial Conference on Innovative Data Systems Research (CIDR’13) | January 2013
6th Biennial Conference on Innovative Data Systems Research (CIDR'13)
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SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Engineering Performance and Security with Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Prasang Upadhyaya, Ramarathnam Venkatesan
Data Engineering Bulletin | December 2012
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RACE: Real-time Applications over Cloud-Edge
Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, Wenchao Zhou
ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
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On The Security Of Querying Encrypted Data
Arvind Arasu, Raghav Kaushik, Ravi Ramamurthy
January 2012
-
Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, Vol 34: pp. 12-19
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Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
27th International Conference on Data Engineering (ICDE ’11) | April 2011
27th International Conference on Data Engineering (ICDE '11)
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High-Performance Dynamic Pattern Matching over Disordered Streams
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Singapore | September 2010
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Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
MSR-TR-2010-146 | July 2010
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An Extensible Test Framework for the Microsoft StreamInsight Query Processor
Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed Ali
International Workshop on Testing Database Systems (DBTest 2010) colocated with SIGMOD 2010, Indianapolis, Indiana, USA | June 2010
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A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
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ProSem: Scalable Wide-Area Publish/Subscribe
Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng
2008 ACM SIGMOD International Conference on Management of Data (SIGMOD ’08) | June 2008
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Consistency Sensitive Operators in CEDR
Jonathan Goldstein, Mingsheng Hong, Mohamed Ali,
MSR-TR-2007-158 | December 2007
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
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Consistent Streaming Through Time: A Vision for Event Stream Processing
Roger Barga, Jonathan Goldstein, Mohamed Ali, Mingsheng Hong,
3rd Biennial Conference on Innovative Data Systems Research (CIDR 2007) | January 2007
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Reliability in Single Domain vs. Multi Domain Optical Mesh Networks
A. A. Akyamac, Sudipta Sengupta, Surajit Chaudhuri
National Fiber Optic Engineers Conference (NFOEC) 2002, Dallas (USA) | October 2002
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Analysis of Enhanced OSPF for Routing Lightpaths in Optical Mesh Networks
Sudipta Sengupta, D. Saha, Surajit Chaudhuri
IEEE International Conference on Communications (ICC) 2002, New York (USA) | April 2002
ISBN: 0-7803-7400-2
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Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
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Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
IEEE Transactions on Knowledge and Data Engineering | January 2025, Vol 37(1): pp. 379-391
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FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Stream
Zheng Qin, Zheheng Liang, Lijie Xu, Wentao Wu, Mingchao Wu, Wuqiang Shen, Wei Wang
IEEE 41st International Conference on Data Engineering (ICDE 2025) | January 2025
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Budget-aware Query Tuning: An AutoML Perspective
Wentao Wu, Chi Wang
SIGMOD Record | October 2024, Vol 53(3): pp. 20-26
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Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
VLDB Journal | February 2024
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Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
International Conference on Learning Representations (ICLR 2024) | January 2024
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ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
SIGMOD Record | December 2023, Vol 52(4): pp. 19-30
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How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
VLDB Journal | December 2023
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Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
Yongji Wu, Danyang Zhuo, Matthew Lentz, Yao Lu
VLDB | September 2023
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A Systematic Evaluation of Machine Learning on Serverless Infrastructure
Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
VLDB Journal | August 2023, Vol 33(2): pp. 425-449
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An Empirical Study on Challenging Math Problem Solving with GPT-4
Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang (Eric) Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
June 2023
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Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
IEEE 39th International Conference on Data Engineering (ICDE 2023) | April 2023
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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Optimizing Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning
Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
SIGMOD | April 2022
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Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts
Beibin Li, Yao Lu, Srikanth Kandula
SIGMOD | April 2022
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Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
SIGMOD Record | March 2022
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
MSR-TR-2021-29 | September 2021
Published by Microsoft
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OpenBox: A Generalized Black-box Optimization Service
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021) | August 2021
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Cardinality Estimation: Is Machine Learning a Silver Bullet?
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
AIDB | August 2021
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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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The Case for ML-Enhanced High-Dimensional Indexes
Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
AIDB@VLDB 2021 | July 2021
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Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd’s table
Wentao Wu, Ce Zhang
DEEM@SIGMOD 2021 | June 2021
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Economical Hyperparameter Optimization with Blended Search Strategy
Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
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FLAML: A Fast and Lightweight AutoML Library
Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
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Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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Approximate Partition Selection for BigData Workloads using Summary Statistics
Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis
VLDB | August 2020
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Contextual Fact Ranking and Its Applications in Table Synthesis and Compression
Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD) | August 2019
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Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
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ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams
Arnd Christian König, Anshumali Srivastava, Misha Bilenko
ACM SIGMOD Conference | June 2016
ACM SIGMOD Conference
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PerfAugur: Robust Diagnostics for Performance Anomalies in Cloud Services
Sudip Roy, Arnd Christian König, Arnd Christian König, Igor Dvorkin, Manish Kumar
ICDE – 31st International Conference on Data Engineering | April 2015
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The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
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Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
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Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore, Arnd Christian König
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS) | December 2011
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS)
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A Learning Framework for Self-Tuning Histograms
Prateek Jain, Srivatsan Laxman, Arvind Arasu
December 2011
-
Improving Clustering by Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Muting Wan
Knowledge and Information Systems (KAIS) | August 2011
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Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Arnd Christian König
The 10th International Conference on Data Mining (ICDM) | December 2010
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Who Talks to Whom: Modeling Latent Structures in Dialogue Documents
Bailu Ding, Jiang-Ming Yang, Chong Wang, Rui Cai, Zhiwei Li (李志伟), Lei Zhang
NIPS Workshop on Applications for Topic Models: Text and Beyond | July 2009
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STHoles: A Multidimensional Workload-Aware Histogram
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
MSR-TR-2001-36 | March 2001
Published by Microsoft
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On Matching Schemas Automatically
Erhard Rahm, Phil Bernstein
MSR-TR-2001-17 | February 2001
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A Vision for Management of Complex Models
Phil Bernstein, Alon Y. Levy, Rachel A. Pottinger
MSR-TR-2000-53 | June 2000
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Accurate Query Optimization by Sub-plan Memoization
Ashraf Aboulnaga, Surajit Chaudhuri
MSR-TR-1999-102 | December 1999
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A Critique of ANSI SQL Isolation Levels
Hal Berenson, Phil Bernstein, Jim Gray, Jim Melton, Elizabeth O'Neil, Patrick O'Neil
MSR-TR-95-51 | June 1995
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QURE: AI-assisted and Automatically Verified UDF Inlining
Tarique Siddiqui, Arnd Christian König, Jiashen Cao, Cong Yan, Shuvendu Lahiri (shuvendu)
Proceedings of the ACM on Management of Data (SIGMOD 2025) | February 2025, Vol 3
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SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, Uday Bondhugula
2024 Symposium on Operating Systems Principles | November 2024
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FastVer2: A Provably Correct Monitor for Concurrent, Key-Value Stores
Arvind Arasu, Tahina Ramananandro, Aseem Rastogi, Nikhil Swamy, Aymeric Fromherz, Kesha Hietala, Bryan Parno, Ravi Ramamurthy
Certified Programs and Proofs | January 2023
Accepted for publication, to appear
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
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Magpie: Python at Speed and Scale using Cloud Backends
Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
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A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Published by Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
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The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
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Incremental Mapping Compilation in an Object-to-Relational Mapping System (Extended Version)
Phil Bernstein, Marie Jacob, Jorge Perez, Guillem Rull, James Terwilliger
MSR-TR-2013-45 | June 2013
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Query containment in Entity SQL (Extended Abstract)
Guillem Rull, Phil Bernstein, Ivo Santos, Yannis Katsis, Sergey Melnik, James Terwilliger, Ernest Teniente
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
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Incremental mapping compilation in an object-to-relational mapping system
Phil Bernstein, Marie Jacob, Jorge Perez, Guillem Rull, James Terwilliger
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
An extended version of the appears as Microsoft Technical Report
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The Extensibility Framework in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer
27th International Conference on Data Engineering | April 2011
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Spatio-Temporal Stream Processing in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah
June 2010
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Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
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Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
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On-The-Fly Progress Detection In Iterative Stream Queries
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Lyon, France | August 2009
International Conference on Very Large Databases (VLDB), Lyon, France
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A Framework for Testing Query Transformation Rules
Vivek Narasayya, Ravi Ramamurthy, Hicham Elmongui
June 2009
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A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
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An Object-oriented Core for XML Schema
Suad Alagic, Phil Bernstein
MSR-TR-2008-182 | December 2008
Revised May 2009
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Mapping XSD to OO Schemas
Suad Alagic, Phil Bernstein
MSR-TR-2008-183 | December 2008
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Provenance Algebra and Materialized View-based Provenance Management
Satya S. Sahoo, Roger S. Barga, Jonathan Goldstein, Amit P. Sheth
MSR-TR-2008-170 | November 2008
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An Online Bibliography on Schema Evolution
Erhard Rahm, Phil Bernstein
MSR-TR-2006-141 | October 2006
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Automatic Physical Database Tuning: A Relaxation-based Approach
Nicolas Bruno, Surajit Chaudhuri
Proceedings of the ACM International Conference on Management of Data (SIGMOD) | January 2005
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Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time
Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Henry Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley
CHI ’23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems | April 2023
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Expressive Querying for Accelerating Visual Analytics
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
Communications of the ACM (CACM) | July 2022, Vol 65(7)
Research Highlight
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Understanding Multi-Device Usage Patterns: Physical Device Configurations and Fragmented Workflows
Ye Yuan, Nathalie Henry Riche, Nicolai Marquardt, Molly Jane Nicholas, Teddy Seyed, Hugo Romat, Bongshin Lee, Michel Pahud, Jonathan Goldstein, Rojin Vishkaie, Christian Holz, Ken Hinckley
CHI 2022 | April 2022
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SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time (UIST 2020 Paper)
Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz, Anand Waghmare, Hemant Surale, Marcus Peinado, Xiaokuan Zhang, Shannon Joyner, Badrish Chandramouli, Umar Farooq Minhas, Jonathan Goldstein, Bill Buxton, Ken Hinckley
Proceedings of the 33rd Annual Symposium on User Interface Software and Technology (UIST ’20) | October 2020
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Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
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Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions
Nivan Ferreira, Danyel Fisher, Arnd Christian König
Proceedings of Conference on Human Factors in Computing Systems (CHI 2014) | April 2014
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Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
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Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
Danyel Fisher, Steven Drucker, Arnd Christian König
MSR-TR-2012-134 | July 2012
IEEE Computer Graphics and Applications
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Real-Time Spatio-Temporal Analytics using Microsoft StreamInsight
Badrish Chandramouli, Mohamed Ali, Balan S. Raman, Ed Katibah
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS ’10), San Jose, California | November 2010
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FastVer2: A Provably Correct Monitor for Concurrent, Key-Value Stores
Arvind Arasu, Tahina Ramananandro, Aseem Rastogi, Nikhil Swamy, Aymeric Fromherz, Kesha Hietala, Bryan Parno, Ravi Ramamurthy
Certified Programs and Proofs | January 2023
Accepted for publication, to appear
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
31st IEEE International Conference on Data Engineering (ICDE) | April 2015
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
MSR-TR-2014-106 | August 2014
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Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
2014 ACM SIGMOD Conference | June 2014
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Oblivious Query Processing
Arvind Arasu, Raghav Kaushik
17th International Conference on Database Theory (ICDT) | March 2014
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Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
29th International Conference on Data Engineering (ICDE) | April 2013
Tutorial presentation
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Orthogonal Security With Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Ramarathnam Venkatesan
6th Biennial Conference on Innovative Data Systems Research (CIDR’13) | January 2013
6th Biennial Conference on Innovative Data Systems Research (CIDR'13)
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Engineering Performance and Security with Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Prasang Upadhyaya, Ramarathnam Venkatesan
Data Engineering Bulletin | December 2012
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On The Security Of Querying Encrypted Data
Arvind Arasu, Raghav Kaushik, Ravi Ramamurthy
January 2012
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
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Generic Schema Matching With Cupid
Jayant Madhavan, Phil Bernstein, Erhard Rahm
MSR-TR-2001-58 | August 2001
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
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Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
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Worry-Free Database Upgrades: Automated Model-Driven Evolution of Schemas and Complex Mappings
James Terwilliger, Phil Bernstein, Adi Unnithan
January 2010
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Mapping XSD to OO Schemas
Suad Alagic, Phil Bernstein
MSR-TR-2008-183 | December 2008
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An Online Approach to Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
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Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Jonathan Goldstein, John Platt, Chris J.C. Burges
May 2005
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Challenges in Precisely Aligning Models of Human Anatomy Using Generic Schema Matching
Peter Mork, Rachel A. Pottinger, Phil Bernstein
MSR-TR-2003-76 | September 2003
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
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Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
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Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
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Integration of Data Mining and Relational Databases
Amir Netz, Jeff Bernhardt, Usama Fayyad, Surajit Chaudhuri
Proceedings of the 26th International Conference on Very Large Databases | January 2000
Proceedings of the 26th International Conference on Very Large Databases
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On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
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Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
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Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
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AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
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An Overview of Query Optimization in Relational Systems (paper)
January 1998
Proceedings of 1998 ACM PODS
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An Overview of Query Optimization in Relational Systems (slides)
Proceedings of 1998 ACM PODS | January 1998
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On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
Goetz Graefe, Usama Fayyad, Surajit Chaudhuri
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | January 1998
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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An Overview of Data Warehousing and OLAP Technology
Surajit Chaudhuri, Umeshwar Dayal
Sigmod Record | March 1997
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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Contextual Fact Ranking and Its Applications in Table Synthesis and Compression
Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD) | August 2019
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Indexing in an Actor-Oriented Database
Phil Bernstein, Mohammad Dashti, Tim Kiefer, David Maier
Conference on Innovative Database Research (CIDR) | January 2017
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
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Concept Expansion Using Web Tables
Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein
Proceeding of 2015 International World Wide Web Conference | May 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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b-Bit Minwise Hashing in Practice
Ping Li, Anshumali Shrivastava, Arnd Christian König
Proceedings of the 5th Asia-Pacific Symposium on Internetware | October 2013
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Mining Acronym Expansions and Their Meanings Using Query Click Log
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He
May 2013
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Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
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Orthogonal Security With Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Ramarathnam Venkatesan
6th Biennial Conference on Innovative Data Systems Research (CIDR’13) | January 2013
6th Biennial Conference on Innovative Data Systems Research (CIDR'13)
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Efficient Episode Mining of Dynamic Event Streams
Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium | December 2012
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium
Best Papers of ICDM 2012
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Engineering Performance and Security with Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Prasang Upadhyaya, Ramarathnam Venkatesan
Data Engineering Bulletin | December 2012
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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
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GPU-Based Minwise Hashing
Ping Li, Anshumali Shrivastava, Arnd Christian König
21st International World Wide Web Conference | April 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
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Context-aware Search for Personal Information Management Systems
Jidong Chen, Wentao Wu, Hang Guo, Wei Wang
Proceedings of the Twelfth SIAM International Conference on Data Mining (SDM 2012) | April 2012
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
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InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
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A Framework for Robust Discovery of Entity Synonyms
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
SIGKDD | January 2012
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Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore, Arnd Christian König
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS) | December 2011
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS)
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b-Bit Minwise Hashing for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore, Arnd Christian König
Big Learning 2011: NIPS 2011 Workshop on Algorithms, Systems, and Tools for Learning at Scale | December 2011
Big Learning 2011: NIPS 2011 Workshop on Algorithms, Systems, and Tools for Learning at Scale
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AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
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Improving Clustering by Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Muting Wan
Knowledge and Information Systems (KAIS) | August 2011
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Theory and Applications of b-Bit Minwise Hashing
Ping Li, Arnd Christian König
Communications of the ACM | August 2011
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Improving Local Search Ranking through External Logs
Klaus Berberich, Arnd Christian König, Dimitrios Lymberopoulos, Peixiang Zhao, ,
34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011)
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iMecho: a context-aware desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
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Efficient Document Clustering via Online Nonnegative Matrix Factorizations
Fei Wang, Chenhao Tan, Arnd Christian König, Ping Li
Eleventh SIAM International Conference on Data Mining | April 2011
Eleventh SIAM International Conference on Data Mining
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Interval-Based Pruning for Top-k Processing over Compressed Lists
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
ICDE Conference | April 2011
ICDE Conference
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Dagstuhl Seminar on Robust Query Processing – Summary and Abstracts Collection
Goetz Graefe, Harumi Anne Kuno, Arnd Christian König, Volker Markl, Kai-Uwe Sattler
February 2011
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Fast Set Intersection in Memory
Bolin Ding, Arnd Christian König
37th International Conference on Very Large Databases (VLDB) | January 2011
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Automatically Tagging Entities with Descriptive Phrases
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
WWW (Poster paper) | January 2011
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Location-aware Click Prediction in Mobile local Search
Dimitrios Lymberopoulos, Peixiang Zhao, Arnd Christian König, Klaus Berberich, Jie Liu
Conference in Information and Knoweledge Management (CIKM) | January 2011
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Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Arnd Christian König
The 10th International Conference on Data Mining (ICDM) | December 2010
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b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li, Arnd Christian König, Wenhao Gui
Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS) | December 2010
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Object-Oriented Constraints for XML Schema
Suad Alagic, Phil Bernstein, Ruchi Jairath
ICOODB | September 2010
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Automated Co-evoluation of Conceptual Models, Physical Databases, and Mapings
James Terwilliger, Phil Bernstein, Adi Unnithan
Conceptual Modeling — ER 2010 | September 2010
ISBN: 978-3-642-16372-2
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Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Arnd Christian König, Dong Xin
International Conference on Management of Data (SIGMOD 2010) | June 2010
International Conference on Management of Data (SIGMOD 2010)
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On Indexing Error-Tolerant Set Containment
Parag Agrawal, Arvind Arasu, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2010
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
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b-Bit Minwise Hashing
Ping Li, Arnd Christian König
Nineteenth International World Wide Web Conference (WWW 2010) | April 2010
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Interactive Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
ICDE | April 2010
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Precomputing Search Features for Fast and Accurate Query Classification
Arnd Christian König, Arnd Christian König, Venkatesh Ganti, Xiao Li, Venky Ganti
Third ACM International Conference on Web Search and Data Mining (WSDM 2010) | February 2010
Third ACM International Conference on Web Search and Data Mining (WSDM 2010)
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Worry-Free Database Upgrades: Automated Model-Driven Evolution of Schemas and Complex Mappings
James Terwilliger, Phil Bernstein, Adi Unnithan
January 2010
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Reverse Engineering Models from Databases to Bootstrap Application Development
Ankit Malpani, Phil Bernstein, Sergey Melnik, James Terwilliger
International Conference on Data Engineering | January 2010
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iMecho: an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009) | November 2009
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Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
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Click-Through Prediction for News Queries
Arnd Christian König, Michael Gamon, Qiang Wu
32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009) | July 2009
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Search your memory ! – an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Chunxin Xie
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2009) | June 2009
ISBN: 978-1-60558-551-2
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Extending Autocompletion to Tolerate Errors
Surajit Chaudhuri, Raghav Kaushik
ACM SIGMOD | June 2009
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Navigation Patterns from and to Social Media
Michael Gamon, Arnd Christian König
3rd AAAI Conference on Weblogs and Social Media (ICWSM 2009) | May 2009
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Exploiting Web Search Engines to Search Structured Information
Sanjay Agrawal, Surajit Chaudhuri, Kaushik Chakrabarti, Venkatesh Ganti, Dong Xin, Arnd Christian König, Arnd Christian König, Venky Ganti
18th International World Wide Web Conference (WWW 2009) | April 2009
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A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
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Query Portals: Dynamically Generating Portals for Web
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti, Arnd Christian König, Dong Xin
18th International World Wide Web Conference (WWW 2009) | April 2009
18th International World Wide Web Conference (WWW 2009)
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A Data Structure for Sponsored Search
Arnd Christian König, Ken Church, Martin Markov
24th International Conference on Data Engineering (ICDE) | March 2009
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Large-Scale Deduplication with Constraints using Dedupalog
Arvind Arasu, Christopher Re, Dan Suciu
Proceedings of the 25th International Conference on Data Engineering, ICDE 2009 | March 2009
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Entity Categorization over Large Document Collections
Venky Ganti, Arnd Christian König, Rares Vernica
14th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008) | August 2008
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A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
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Transformation-based Framework for Record Matching
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
Proceedings of the 24th International Conference on Data Engineering, ICDE 2008 | June 2008
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Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
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Scalable Adhoc Entity Extraction from Text Collections
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
VLDB Conference | January 2008
VLDB Conference
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Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
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Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
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Heavy-Tailed Distributions and Multi-Keyword Queries
Surajit Chaudhuri, Kenneth Church, Liying Sui, Arnd Christian König, Arnd Christian König, Ken Church
30th ACM SIGIR International Conference on Research & Developement on Information Retreival | July 2007
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Example Driven Design of Efficient Record Matching Queries
Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
VLDB | January 2007
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Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
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Efficient Exact Set-Similarity Joins
Arvind Arasu, Venky Ganti, Raghav Kaushik
Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB 2006 | August 2006
Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB 2006
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Automating Physical Database Design: Workload as a Sequence
Sanjay Agrawal, Eric Chu, Vivek Narasayya
SIGMOD | June 2006
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The CQL Continuous Query Language: Semantic Foundations and Query Execution
Arvind Arasu, Shivnath Babu, Jennifer Widom
VLDB Journal | June 2006
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Reducing the Human Overhead in Text Categorization
Arnd Christian König, Eric Brill
Proceedings of KDD 2006 | January 2006
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Scalable Exploration of Physical Database Design
Arnd Christian König, Shubha U. Nabar
22nd International Conference on Data Engineering | January 2006
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A Primitive Operator for Similarity Joins in Data Cleaning
Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
ICDE | January 2006
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Robust Cardinality and Cost Estimation for Skyline Operator
Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
ICDE | January 2006
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Efficient Computation of Multiple Group-By Queries
Vivek Narasayya, Zhimin Chen
SIGMOD | June 2005
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When Can we Trust Progress Estimators for SQL Queries?
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
SIGMOD | January 2005
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Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
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Approximate Counts and Quantiles over Sliding Windows
Gurmeet Singh Manku, Arvind Arasu
Proceedings of the 23rd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, PODS 2004 | June 2004
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Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
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Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design
Sanjay Agrawal, Vivek Narasayya, Beverly Yang
SIGMOD | June 2004
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SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
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Characterizing memory requirements for queries over continuous data streams
Arvind Arasu, Brian Babcock, Shivnath Babu, Jon McAlister, Jennifer Widom
ACM Transactions on Database Systems (TODS) | March 2004
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Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
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Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
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Databases and IR: Perspectives of a SQL Guy
NSF Information and Data Management PI Workshop | January 2003
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On Relational Support for XML Publishing: Beyond Sorting and Tagging
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
SIGMOD | January 2003
SIGMOD
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DBXplorer: Enabling Keyword Search over Relational Databases
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
ACM SIGMOD 2002 | June 2002
ISBN: 1-58113-497-5
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Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
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Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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BLEWS: Using Blogs to Provide Context for News Articles
Michael Gamon, Sumit Basu, Dmitriy Belenko, Danyel Fisher, Matthew Hurst, Arnd Christian König
2nd AAAI Conference on Weblogs and Social Media (ICWSM 2008) | April 2008
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
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A Secure Coprocessor for Database Applications
Ravi Ramamurthy, Ken Eguro, Arvind Arasu, Raghav Kaushik, Donald Kossmann, Ramarathnam Venkatesan
23rd International Conference on Field Programmable Logic and Applications (FPL) | September 2013
23rd International Conference on Field Programmable Logic and Applications (FPL)
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Engineering Performance and Security with Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Prasang Upadhyaya, Ramarathnam Venkatesan
Data Engineering Bulletin | December 2012
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On The Security Of Querying Encrypted Data
Arvind Arasu, Raghav Kaushik, Ravi Ramamurthy
January 2012
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Implementing an Append-Only Interface for Semiconductor Storage
Colin Reid, Phil Bernstein
IEEE Data Eng. Bull. | January 2010, Vol 33: pp. 14-20
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Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
Danyel Fisher, Steven Drucker, Arnd Christian König
MSR-TR-2012-134 | July 2012
IEEE Computer Graphics and Applications
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Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Jonathan Goldstein, John Platt, Chris J.C. Burges
May 2005
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The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
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Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
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Translating Schemas and Data Between Metamodels
Peter Mork, Philip A. Bernstein, Sergey Melnik, Phil Bernstein
MSR-TR-2007-36 | April 2007
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The Lowell Database Research Self Assessment
Stan Zdonik, Jennifer Widom, Gerhard Weikum, Jeff Ullman, Rick Snodgrass, Mike Stonebraker, Avi Silberschatz, Timos Sellis, Hans Schek, Jeff Naughton, David Maier, Serge Abiteboul, Rakesh Agrawal, Phil Bernstein, Mike Carey, Stefano Ceri, Bruce Croft, David DeWitt, Mike Franklin, Hector Garcia Molina, Dieter Gawlick, Jim Gray, Laura Haas, Alon Halevy, Joe Hellerstein, Yannis Ioannidis, Martin Kersten, Michael Pazzani, Mike Lesk
MSR-TR-2003-69 | June 2003
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Extracting structured data from Web pages
Arvind Arasu, Hector Garcia-Molina
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data | June 2003
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Capacity Performance of Dynamic Provisioning in Optical Networks
Ravi Ramamurthy, Z. Bogdanowicz, S. Samieian, D. Saha, B. Rajagopalan, Sudipta Sengupta, Surajit Chaudhuri, K. Bala
Invited paper, IEEE/OSA Journal of Lightwave Technology | January 2001, Vol 19(1): pp. 40-48
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Microsoft Repository Version 2 and The Open Information Model
Phil Bernstein, Thomas Bergstraesser, Jason Carlson, Shankar Pal, Paul Sanders, David Shutt
Information Systems | April 1999, Vol 24(2): pp. 71-98
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Towards Self-Tuning Memory Management for Data Servers
Gerhard Weikum, Arnd Christian König, Arnd Christian König, Achim Kraiss, Marcus Sinnwell
Data Engineering Bulletin | January 1999, Vol 22(2)
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An Overview of Data Warehousing and OLAP Technology
Surajit Chaudhuri, Umeshwar Dayal
Sigmod Record | March 1997
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Netherite: Efficient Execution of Serverless Workflows (Extended Journal Version)
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum (cgillum), David Justo (dajusto), Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB J. | February 2025, Vol 34: pp. 25
Special Issue "Best of VLDB 2022"
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QURE: AI-assisted and Automatically Verified UDF Inlining
Tarique Siddiqui, Arnd Christian König, Jiashen Cao, Cong Yan, Shuvendu Lahiri (shuvendu)
Proceedings of the ACM on Management of Data (SIGMOD 2025) | February 2025, Vol 3
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Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
IEEE Transactions on Knowledge and Data Engineering | January 2025, Vol 37(1): pp. 379-391
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Budget-aware Query Tuning: An AutoML Perspective
Wentao Wu, Chi Wang
SIGMOD Record | October 2024, Vol 53(3): pp. 20-26
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Cloud Actor-Oriented Database Transactions in Orleans
Tamer Eldeeb, Sebastian Burckhardt, Reuben Bond, Asaf Cidon, Junfeng Yang, Phil Bernstein
Proc. VLDB Endow. | July 2024, Vol 17: pp. 3720-3730
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Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, Vol 2(3)
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Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, Vol 2(1)
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Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
VLDB Journal | February 2024
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ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
SIGMOD Record | December 2023, Vol 52(4): pp. 19-30
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How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
VLDB Journal | December 2023
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Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, Vol 16(11): pp. 2871-2883
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A Systematic Evaluation of Machine Learning on Serverless Infrastructure
Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
VLDB Journal | August 2023, Vol 33(2): pp. 425-449
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High-Performance Row Pattern Recognition Using Joins
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
Proceedings of the VLDB Endowment | February 2023, Vol 16(5): pp. 1181-1194
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Expressive Querying for Accelerating Visual Analytics
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
Communications of the ACM (CACM) | July 2022, Vol 65(7)
Research Highlight
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Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
SIGMOD Record | March 2022
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
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Instance-Optimized Data Layouts for Cloud Analytics Workloads
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
SIGMOD 2021 | June 2021
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From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
ACM SIGMOD Record | May 2021
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A Data Quality-Driven View of MLOps
Cedric Renggli, Luka Rimanic, Nezihe Merve Gurel, Bojan Karlas, Wentao Wu, Ce Zhang
IEEE Data Engineering Bulletin | March 2021, Vol 44(1): pp. 11-23
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Model Averaging in Distributed Machine Learning: A Case Study with Apache Spark
Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li
VLDB Journal | January 2021
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Three lessons from accelerating scientific insight discovery via visual querying
Doris Lee, Tarique Siddiqui, Karrie Karahalios, Aditya Parameswaran
Patterns | October 2020
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You can’t always sketch what you want: Understanding Sensemaking in Visual Query Systems
Doris Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya Parameswaran
IEEE Transactions on Visualization and Computer Graphics | August 2019
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Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, Vol 12(12)
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Resurrecting Middle-Tier Distributed Transactions
Bulletin of the Technical Committee on Data Engineering | June 2019, Vol 42(2): pp. 3-6
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SIGMOD 2018 Program Committee Chair’s Report
ACM SIGMOD Record | December 2018, Vol 47(4)
To appear.
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RC-Index: Diversifying Answers to Range Queries
Yue Wang, Alexandra Meliou, Gerome Miklau
International Conference on Very Large Data Bases (PVLDB) | March 2018, Vol 11: pp. 773-786
Proc. VLDB Endow.
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Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE) | February 2017, Vol 29: pp. 446-457
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 2016
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Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
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Plan Bouquets: A Fragrant Approach to Robust Query Processing
Anshuman Dutt, Jayant R. Haritsa
ACM Trans. Database Syst. | June 2016, Vol 41: pp. 0.459027778-0.484027778
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Scaling Optimistic Concurrency Control by Approximately Partitioning the Certifier and Log
Phil Bernstein, Sudipto Das
IEEE Data Engineering Bulletin | March 2015, Vol Jan-38
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WideTable: An Accelerator for Analytical Data Processing
Yinan Li, Jignesh M. Patel
PVLDB | September 2014, Vol 7(10): pp. 907-918
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Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, Vol 37: pp. 38-47
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A General Streaming Algorithm for Pattern Discovery
Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Knowledge and Information Systems | December 2013, Vol 37(3): pp. 585-610
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Engineering Performance and Security with Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Prasang Upadhyaya, Ramarathnam Venkatesan
Data Engineering Bulletin | December 2012
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WHAM: A High-Throughput Sequence Alignment Method
Yinan Li, Jignesh M. Patel, Allison Terrell
ACM Trans. Database Syst. | December 2012, Vol 37(4): pp. 28
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Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
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A Learning Framework for Self-Tuning Histograms
Prateek Jain, Srivatsan Laxman, Arvind Arasu
December 2011
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Mapping XML to a Wide Sparse Table
Phil Bernstein, Liang Jeff Chen, Peter Carlin, Dimitrije Filipovic , Michael Rys, Nikita Shamgunov, James F. Terwilliger, Milos Todic, Sasa Tomasevic, Dragan Tomic
IEEE Transactions on Knowledge and Data Engineering | December 2011, Vol 26(6)
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AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
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Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, Vol 34: pp. 12-19
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Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
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Theory and Applications of b-Bit Minwise Hashing
Ping Li, Arnd Christian König
Communications of the ACM | August 2011
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Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
IEEE Computer | December 2010
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Implementing an Append-Only Interface for Semiconductor Storage
Colin Reid, Phil Bernstein
IEEE Data Eng. Bull. | January 2010, Vol 33: pp. 14-20
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Structure-based graph distance measures of high degree of precision
Yanghua Xiao, Hua Dong, Wentao Wu, Momiao Xiong, Wei Wang, Baile Shi
Pattern Recognition (PR) | December 2008, Vol 41: pp. 3547-3561
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Symmetry-based structure entropy of complex networks
Yanghua Xiao, Wentao Wu, Hui Wang, Momiao Xiong, Wei Wang
Physica A: Statistical Mechanics and its Applications | April 2008, Vol 387: pp. 2611-2619
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The CQL Continuous Query Language: Semantic Foundations and Query Execution
Arvind Arasu, Shivnath Babu, Jennifer Widom
VLDB Journal | June 2006
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Characterizing memory requirements for queries over continuous data streams
Arvind Arasu, Brian Babcock, Shivnath Babu, Jon McAlister, Jennifer Widom
ACM Transactions on Database Systems (TODS) | March 2004
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Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
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Comparison of Centralized and Distributed Provisioning of Lightpaths in Mesh Restored Optical Networks
Ravi Ramamurthy, Sudipta Sengupta, Surajit Chaudhuri
Optical Fiber Communication (OFC) Conference, Anaheim (USA) | March 2001
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
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Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
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Integration of Data Mining and Relational Databases
Amir Netz, Jeff Bernhardt, Usama Fayyad, Surajit Chaudhuri
Proceedings of the 26th International Conference on Very Large Databases | January 2000
Proceedings of the 26th International Conference on Very Large Databases
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On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
-
Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
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Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
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AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
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The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
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An Overview of Query Optimization in Relational Systems (slides)
Proceedings of 1998 ACM PODS | January 1998
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On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
Goetz Graefe, Usama Fayyad, Surajit Chaudhuri
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | January 1998
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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The Microsoft Repository
Phil Bernstein, Brian Harry, Paul Sanders, David Shutt, Jason Zander
VLDB 1997 | August 1997
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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Fast Maintenance of Integrity Assertions Using Redundant Aggregate Data
Phil Bernstein, Barbara T. Blaustein, Edmond M. Clarke
International Conference on Very Large Data Bases | September 1980
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What Does Boyce-Codd Normal Form Do
Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1980
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Timestamp-Based Algorithms for Concurrency Control in Distributed Database Systems
Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1980
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A Sophisticate’s Introduction to Database Normalization Theory
Catriel Beeri, Phil Bernstein, Nathan Goodman
International Conference on Very Large Data Bases | September 1978
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Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
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Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2025) | April 2025
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FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Stream
Zheng Qin, Zheheng Liang, Lijie Xu, Wentao Wu, Mingchao Wu, Wuqiang Shen, Wei Wang
IEEE 41st International Conference on Data Engineering (ICDE 2025) | January 2025
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SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, Uday Bondhugula
2024 Symposium on Operating Systems Principles | November 2024
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Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
International Conference on Learning Representations (ICLR 2024) | January 2024
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service
Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek Narasayya
50th International Conference on Very Large Databases | September 2023
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Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
Yongji Wu, Danyang Zhuo, Matthew Lentz, Yao Lu
VLDB | September 2023
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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Selection Pushdown in Column Stores using Bit Manipulation Instructions
Yinan Li, Jianan Lu, Badrish Chandramouli
2023 ACM SIGMOD Conference | June 2023
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Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
SIGMOD 2023 | June 2023
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Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
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Generating Test Databases for Database-Backed Applications
Cong Yan, Suman Nath, Shan Lu
ICSE’23 | May 2023
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Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time
Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Henry Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley
CHI ’23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems | April 2023
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Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
IEEE 39th International Conference on Data Engineering (ICDE 2023) | April 2023
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FastVer2: A Provably Correct Monitor for Concurrent, Key-Value Stores
Arvind Arasu, Tahina Ramananandro, Aseem Rastogi, Nikhil Swamy, Aymeric Fromherz, Kesha Hietala, Bryan Parno, Ravi Ramamurthy
Certified Programs and Proofs | January 2023
Accepted for publication, to appear
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Tenant Placement in Over-subscribed Database-as-a-Service Clusters
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya
48th International Conference on Very Large Databases | September 2022
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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Optimizing Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang
VLDB | June 2022
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In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
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Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates
Wentao Wu, Phil Bernstein, Alex Raizman, Christina Pavlopoulou
IEEE 38th International Conference on Data Engineering (ICDE 2022) | May 2022
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Understanding Multi-Device Usage Patterns: Physical Device Configurations and Fragmented Workflows
Ye Yuan, Nathalie Henry Riche, Nicolai Marquardt, Molly Jane Nicholas, Teddy Seyed, Hugo Romat, Bongshin Lee, Michel Pahud, Jonathan Goldstein, Rojin Vishkaie, Christian Holz, Ken Hinckley
CHI 2022 | April 2022
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
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Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning
Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
SIGMOD | April 2022
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Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts
Beibin Li, Yao Lu, Srikanth Kandula
SIGMOD | April 2022
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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CompuCache: Remote Computable Caching using Spot VMs
Qizhen Zhang, Phil Bernstein, Daniel S. Berger, Badrish Chandramouli, Boon Thao Loo, Vincent Liu
Conference on Innovative Data Systems Research (CIDR 2022) | January 2022
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Redy: Remote Dynamic Memory Cache
Qizhen Zhang, Phil Bernstein, Daniel Berger (daberg), Badrish Chandramouli
VLDB 2022 | December 2021
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Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
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OpenBox: A Generalized Black-box Optimization Service
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021) | August 2021
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Cardinality Estimation: Is Machine Learning a Silver Bullet?
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
AIDB | August 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Hyperspace: The Indexing Subsystem of Azure Synapse
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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The Case for ML-Enhanced High-Dimensional Indexes
Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
AIDB@VLDB 2021 | July 2021
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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FastVer: Making Data Integrity a Commodity
Arvind Arasu, Aseem Rastogi, Badrish Chandramouli, Donald Kossmann, Esha Ghosh, Johannes Gehrke, Nikhil Swamy, Jonathan Protzenko, Ravi Ramamurthy, Srinath Setty, Tahina Ramananandro, Alexander van Renen, Min Xu
SIGMOD | June 2021
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Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd’s table
Wentao Wu, Ce Zhang
DEEM@SIGMOD 2021 | June 2021
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Asynchronous Prefix Recoverability for Fast Distributed Stores
Tianyu Li, Badrish Chandramouli, Jose Faleiro, Donald Kossmann, Sam Madden
SIGMOD 2021 | June 2021
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Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2021) | June 2021
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Economical Hyperparameter Optimization with Blended Search Strategy
Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
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Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
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FLAML: A Fast and Lightweight AutoML Library
Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
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Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
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Magpie: Python at Speed and Scale using Cloud Backends
Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
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Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
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Ease.ML: A Lifecycle Management System for MLDev and MLOps
Leonel Aguilar, David Dao, Shaoduo Gan, Nezihe Merve Gurel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Rao, Johannes Rausch, Cedric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Conference on Innovative Data Systems Research (CIDR 2021) | January 2021
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SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time (UIST 2020 Paper)
Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz, Anand Waghmare, Hemant Surale, Marcus Peinado, Xiaokuan Zhang, Shannon Joyner, Badrish Chandramouli, Umar Farooq Minhas, Jonathan Goldstein, Bill Buxton, Ken Hinckley
Proceedings of the 33rd Annual Symposium on User Interface Software and Technology (UIST ’20) | October 2020
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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Approximate Partition Selection for BigData Workloads using Summary Statistics
Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis
VLDB | August 2020
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
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Helios: Hyperscale Indexing for the Cloud & Edge
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2020) | July 2020
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Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2020) | July 2020
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Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2020
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ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
ACM SIGMOD | June 2020
Best Paper
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Building Continuous Integration Services for Machine Learning
Bojan Karlas, Matteo Interlandi, Cedric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) | June 2020
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Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
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Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Ake Larson, Donald Kossmann, Rajeev Acharya
SIGMOD 2020 | June 2020
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Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
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ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent
Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang
IEEE International Conference on Data Engineering (ICDE 2020) | April 2020
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Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
SIGMOD 2020: International Conference on Management of Data | February 2020
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FishStore: Fast Ingestion and Indexing of Raw Data
Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann
PVLDB Vol. 12 No. 12 | August 2019
Demo paper
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Contextual Fact Ranking and Its Applications in Table Synthesis and Compression
Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD) | August 2019
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
-
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 2019
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Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
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Speculative Distributed CSV Data Parsing for Big Data Analytics
Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
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FishStore: Faster Ingestion with Subset Hashing
Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
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Concurrent Prefix Recovery: Performing CPR on a Database
Guna Prasaad, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
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Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization
Cedric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2019) | May 2019
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
Chen Zhao, Yeye He
WWW – World Wide Web Consortium (W3C) | May 2019
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CRA: Enabling Data-Intensive Applications in Containerized Environments
Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas
35th IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
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MLlib*: Fast Training of GLMs using Spark MLlib
Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui
IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
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Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
Cedric Renggli, Bojan Karlaš, Bolin Ding, Feng Liu, Wentao Wu, Ce Zhang
SysML Conference (SysML 2019) | April 2019
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
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Serverless Event-Stream Processing over Virtual Actors
Phil Bernstein, Todd Porter, Rahul Potharaju, Shivaram Venkataraman, Wentao Wu
Conference on Innovative Data Systems Research (CIDR 2019) | January 2019
-
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
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Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering
Bailu Ding, Lucja Kot, Johannes Gehrke
Proceedings of the VLDB Endowment (VLDB 2019) | January 2019
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ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran
VLDB | August 2018
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Adaptive Sampling for Rapidly Matching Histograms
Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
44th International Conference on Very Large Data Bases (VLDB) | August 2018
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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
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Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
-
FASTER: An Embedded Concurrent Key-Value Store for State Management
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
Demo Paper | July 2018
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Transform-Data-by-Example: An Extensible Search Engine for Data Transformations
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek Narrasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | June 2018
-
Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
-
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
SIGMOD | June 2018
-
Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
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Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
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FASTER: A Concurrent Key-Value Store with In-Place Updates
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
2018 ACM SIGMOD International Conference on Management of Data (SIGMOD ’18), Houston, TX, USA | June 2018
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Optimally leveraging density and locality for exploratory browsing and sampling
Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Sam Madden, Aditya Parameswaran
HILDA@SIGMOD | June 2018
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Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets
Yihan Gao, Silu Huang, Aditya Parameswaran
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2018
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MLBench: Benchmarking Machine Learning Services Against Human Experts
Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
-
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
-
Actor-Oriented Database Systems
Proceedings of the 2018 IEEE 34th International Conference on Data Engineering | April 2018
ISBN: ISBN-13: 978-1-5386-5520-7
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Impatience is a Virtue: Revisiting Disorder in High-Performance Log Analytics
Badrish Chandramouli, Jonathan Goldstein, Yinan Li
34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France | April 2018
-
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | February 2018
-
How Good Are Machine Learning Clouds for Binary Classification with Good Features?
Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the 2017 Symposium on Cloud Computing (SoCC 2017) | September 2017
-
Discovering Enterprise Concepts Using Spreadsheet Tables
Keqian Li, Yeye He, Kris Ganjam
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
-
OrpheusDB: Bolt-on Versioning for Relational Databases
Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
43th International Conference on Very Large Data Bases (VLDB) | August 2017
-
MLog: Towards Declarative In-Database Machine Learning
Bin Cui, Xupeng Li, Yiru Chen, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2017) | August 2017
-
Mison: A Fast JSON Parser for Data Analytics
Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann
The 43rd International Conference on Very Large Data Bases (VLDB 2017) | June 2017
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Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
-
Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
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Enabling Signal Processing over Data Streams
Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein
SIGMOD 2017, May 14-19, 2017, Chicago, Illinois, USA | May 2017
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An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision
Ce Zhang, Wentao Wu, Tian Li
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics (HILDA@SIGMOD 2017) | May 2017
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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
-
Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
International Conference on Management of Data (SIGMOD) | May 2017
-
OrpheusDB: A Lightweight Approach to Relational Dataset Versioning
Liqi Xu, Silu Huang, Sili Hui, Aaron J. Elmore, Aditya Parameswaran
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD DEMO) | May 2017
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Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
33rd IEEE International Conference on Data Engineering (ICDE 2017) | April 2017
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Towards Interactive Debugging of Rule-based Entity Matching
Fatemah Panahi, Wentao Wu, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 20th International Conference on Extending Database Technology (EDBT 2017) | March 2017
-
Towards Visualization Recommendation Systems
Manasi Vartak, Silu Huang, Tarique Siddiqui, Sam Madden, Aditya Parameswaran
SIGMOD Record | March 2017
-
Indexing in an Actor-Oriented Database
Phil Bernstein, Mohammad Dashti, Tim Kiefer, David Maier
Conference on Innovative Database Research (CIDR) | January 2017
-
READY: Completeness is in the Eye of the Beholder
Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Moritz Hoffmann, Donald Kossmann, Justin Levandoski, Renato Marroquin, Wenlei Xie
8th Biennial Conference on Innovative Data Systems Research (CIDR 2017) | January 2017
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Fast-Forwarding to Desired Visualizations with Zenvisage
Tarique Siddiqui, John Lee, Alber Kim, Edward xue, Chaoran Wang, Yuxuan Zou, Changfeng Liu, Lijin Guo, Xiaofo Yu, Karrie Karahalios, Aditya Parameswaran
CIDR | January 2017
-
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
International Conference on Very Large Databases (PVLDB Vol. 10, Issue. 5) | January 2017
-
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora
Tarique Siddiqui, Xiang Ren, Aditya Parameswaran, Jiawei Han
CIKM | October 2016
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Effortless data exploration with zenvisage: an expressive and interactive visual analytics system
Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya Parameswaran
VLDB | October 2016
-
Quill: Efficient, Transferable, and Rich Analytics at Scale
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
International Conference on Very Large Databases (PVLDB Vol. 9, Issue. 14) | September 2016
-
Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams
Arnd Christian König, Anshumali Srivastava, Misha Bilenko
ACM SIGMOD Conference | June 2016
ACM SIGMOD Conference
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Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2016
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Sampling-Based Query Re-Optimization
Wentao Wu, Jeffrey F. Naughton, Harneet Singh
Proceedings of the 2016 International Conference on Management of Data (SIGMOD 2016) | June 2016
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Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
Sudipto Das, Feng Li, Vivek Narasayya, Arnd Christian König
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
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Accelerating Relational Databases by Leveraging Remote Memory and RDMA
Feng Li, Sudipto Das, Manoj Syamala, Vivek Narasayya
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
-
Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
-
ICE: Managing Cold State for Big Data Applications
Badrish Chandramouli, Justin Levandoski, Eli Cortez
IEEE International Conference on Data Engineering (ICDE) | May 2016
-
Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora
Yeye He, Kaushik Chakrabarti, Tomasz Tylenda
WWW – World Wide Web Consortium (W3C) | April 2016
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Tempe: Live Scripting For Live Data
Robert DeLIne, Danyel Fisher, Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger, John Wernsing
Visual Languages and Human-Centric Computing (VL/HCC), 2015 IEEE Symposium on | October 2015
ISBN: 978-1-4673-7457-6
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Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff.
Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya Parameswaran
41th International Conference on Very Large Data Bases (VLDB) | August 2015
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Trill: A High-Performance Incremental Query Processor for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John Platt, James Terwilliger, John Wernsing, Robert DeLIne
August 2015
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
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The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis
Sudip Roy, Lucja Kot, Gabriel Bender, Bailu Ding, Hossein Hojjat, Christoph Koch, Nate Foster, Johannes Gehrke
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
-
Optimizing optimistic concurrency control for tree-structured, log-structured databases
Phil Bernstein, Sudipto Das, Bailu Ding, Markus Pilman
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
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Centiman: Elastic, high performance optimistic concurrency control by watermarking
Bailu Ding, Lucja Kot, Alan Demers, Johannes Gehrke
Proceedings of the Sixth ACM Symposium on Cloud Computing | July 2015
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Towards a Unified Query Language for Provenance and Versioning
Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Sam Madden, Aditya Parameswaran
7th USENIX Workshop on the Theory and Practice of Provenance (TaPP) | July 2015
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Minimum Spanning Trees in Temporal Graphs
Silu Huang, Ada Wai-Chee Fu, Ruifeng Liu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2015
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
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SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora
Yeye He, Kris Ganjam, Xu Chu
International Conference on Very Large Databases (VLDB) | June 2015
-
A Padded Encoding Scheme to Accelerate Scans by Leveraging Skew
Yinan Li, Craig Chasseur, Jignesh M. Patel
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 – June 4, 2015 | June 2015
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TEGRA: Table Extraction by Global Record Alignment
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
International Conference on Management of Data (SIGMOD) | May 2015
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Concept Expansion Using Web Tables
Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein
Proceeding of 2015 International World Wide Web Conference | May 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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PerfAugur: Robust Diagnostics for Performance Anomalies in Cloud Services
Sudip Roy, Arnd Christian König, Arnd Christian König, Igor Dvorkin, Manish Kumar
ICDE – 31st International Conference on Data Engineering | April 2015
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
31st IEEE International Conference on Data Engineering (ICDE) | April 2015
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On Debugging Non-Answers in Keyword Search Systems
Akanksha Baid, Wentao Wu, Chong Sun, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 18th International Conference on Extending Database Technology (EDBT 2015) | March 2015
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ClusterJoin: A Similarity Joins Framework using Map-Reduce
Akash Das Sarma, Yeye He, Surajit Chaudhuri
Proceedings of International Conference on Very Large Databases (VLDB) | September 2014
Proceedings of International Conference on Very Large Databases (VLDB)
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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k-Balanced sorting and skew join in MPI and MapReduce
Silu Huang, Ada Wai-Chee Fu
2014 IEEE International Conference on Big Data (Big Data) | August 2014
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Path Problems in Temporal Graphs
Huanhuan Wu, James Cheng, Silu Huang, Yiping Ke, Yi Lu, Yanyan Xu
40th International Conference on Very Large Data Bases (VLDB) | August 2014
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
-
Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
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Uncertainty Aware Query Execution Time Prediction
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2014) | August 2014
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Plan Bouquets: Query Processing without Selectivity Estimation
Anshuman Dutt, Jayant R. Haritsa
SIGMOD 2014 | June 2014
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Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Jonathan Goldstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
2014 ACM SIGMOD Conference | June 2014
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Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions
Nivan Ferreira, Danyel Fisher, Arnd Christian König
Proceedings of Conference on Human Factors in Computing Systems (CHI 2014) | April 2014
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On Load Shedding in Complex Event Processing
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Database Theory (ICDT) | March 2014
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Oblivious Query Processing
Arvind Arasu, Raghav Kaushik
17th International Conference on Database Theory (ICDT) | March 2014
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b-Bit Minwise Hashing in Practice
Ping Li, Anshumali Shrivastava, Arnd Christian König
Proceedings of the 5th Asia-Pacific Symposium on Internetware | October 2013
-
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
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A Secure Coprocessor for Database Applications
Ravi Ramamurthy, Ken Eguro, Arvind Arasu, Raghav Kaushik, Donald Kossmann, Ramarathnam Venkatesan
23rd International Conference on Field Programmable Logic and Applications (FPL) | September 2013
23rd International Conference on Field Programmable Logic and Applications (FPL)
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Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads
Wentao Wu, Yun Chi, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2013) | August 2013
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TF-Label: a topological-folding labeling scheme for reachability querying in a large graph
James Cheng, Silu Huang, Huanhuan Wu, Ada Wai-Chee Fu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | July 2013
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Rethinking Eventual Consistency
Phil Bernstein, Sudipto Das
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
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Query containment in Entity SQL (Extended Abstract)
Guillem Rull, Phil Bernstein, Ivo Santos, Yannis Katsis, Sergey Melnik, James Terwilliger, Ernest Teniente
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
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Incremental mapping compilation in an object-to-relational mapping system
Phil Bernstein, Marie Jacob, Jorge Perez, Guillem Rull, James Terwilliger
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data | June 2013
An extended version of the appears as Microsoft Technical Report
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
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BitWeaving: fast scans for main memory data processing
Yinan Li, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 | June 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013
ISBN: 978-1-4503-2037-5
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Enabling JSON Document Stores in Relational Systems
Craig Chasseur, Yinan Li, Jignesh M. Patel
Proceedings of the 16th International Workshop on the Web and Databases 2013, WebDB 2013, New York, NY, USA, June 23, 2013. | June 2013
Proceedings of the 16th International Workshop on the Web and Databases 2013, WebDB 2013, New York, NY, USA, June 23, 2013.
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Mining Acronym Expansions and Their Meanings Using Query Click Log
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He
May 2013
-
Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
-
Querying Encrypted Data (Tutorial)
Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravi Ramamurthy
29th International Conference on Data Engineering (ICDE) | April 2013
Tutorial presentation
-
Predicting query execution time: Are optimizer cost models really unusable?
Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton
29th IEEE International Conference on Data Engineering (ICDE 2013) | April 2013
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Orthogonal Security With Cipherbase
Arvind Arasu, Spyros Blanas, Ken Eguro, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Ramarathnam Venkatesan
6th Biennial Conference on Innovative Data Systems Research (CIDR’13) | January 2013
6th Biennial Conference on Innovative Data Systems Research (CIDR'13)
-
Crawling Deep-web Entity Pages
Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman
Proceedings of International Conference on Web Search and Data Mining (WSDM) | January 2013
-
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Utility-Maximizing Event Stream Suppression
Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton
Proceedings of International Conference on Management of Data (SIGMOD) | January 2013
-
NUMA-aware algorithms: the case of data shuffling
Yinan Li, Ippokratis Pandis, René Müller, Vijayshankar Raman, Guy M. Lohman
CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings | January 2013
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Efficient Episode Mining of Dynamic Event Streams
Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium | December 2012
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium
Best Papers of ICDM 2012
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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
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Probase: a probabilistic taxonomy for text understanding
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
-
RACE: Real-time Applications over Cloud-Edge
Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, Wenchao Zhou
ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
-
GPU-Based Minwise Hashing
Ping Li, Anshumali Shrivastava, Arnd Christian König
21st International World Wide Web Conference | April 2012
-
Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
28th International Conference on Data Engineering (ICDE ’12) | April 2012
28th International Conference on Data Engineering (ICDE '12)
-
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
28th International Conference on Data Engineering (ICDE ’12) | April 2012
Best Paper Award
-
Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
-
Context-aware Search for Personal Information Management Systems
Jidong Chen, Wentao Wu, Hang Guo, Wei Wang
Proceedings of the Twelfth SIAM International Conference on Data Mining (SDM 2012) | April 2012
-
A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
-
InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
-
A Framework for Robust Discovery of Entity Synonyms
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
SIGKDD | January 2012
-
Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore, Arnd Christian König
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS) | December 2011
Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS)
-
b-Bit Minwise Hashing for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore, Arnd Christian König
Big Learning 2011: NIPS 2011 Workshop on Algorithms, Systems, and Tools for Learning at Scale | December 2011
Big Learning 2011: NIPS 2011 Workshop on Algorithms, Systems, and Tools for Learning at Scale
-
Improving Clustering by Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Muting Wan
Knowledge and Information Systems (KAIS) | August 2011
-
Online Visualization of Geospatial Stream Data using the WorldWide Telescope
Mohamed Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Drucker, Balan S. Raman
International Conference on Very Large Databases (VLDB) | August 2011
International Conference on Very Large Databases (VLDB)
-
Improving Local Search Ranking through External Logs
Klaus Berberich, Arnd Christian König, Dimitrios Lymberopoulos, Peixiang Zhao, ,
34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011)
-
iMecho: a context-aware desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
-
StreamRec: A Real-Time Recommender System
Badrish Chandramouli, Justin Levandoski, Ahmed Eldawy, Mohamed F. Mokbel
ACM SIGMOD International Conference on Management of Data (SIGMOD 2011) | June 2011
-
Design and evaluation of main memory hash join algorithms for multi-core CPUs
Spyros Blanas, Yinan Li, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 | June 2011
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WHAM: a high-throughput sequence alignment method
Yinan Li, Allison Terrell, Jignesh M. Patel
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 | June 2011
-
Efficient Document Clustering via Online Nonnegative Matrix Factorizations
Fei Wang, Chenhao Tan, Arnd Christian König, Ping Li
Eleventh SIAM International Conference on Data Mining | April 2011
Eleventh SIAM International Conference on Data Mining
-
Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
27th International Conference on Data Engineering (ICDE ’11) | April 2011
27th International Conference on Data Engineering (ICDE '11)
-
The Extensibility Framework in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer
27th International Conference on Data Engineering | April 2011
-
Interval-Based Pruning for Top-k Processing over Compressed Lists
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
ICDE Conference | April 2011
ICDE Conference
-
SEISA: Set Expansion by Iterative Similarity Aggregation
Yeye He, Dong Xin
Proceedings of International World Wide Web Conference (WWW) | April 2011
-
Dagstuhl Seminar on Robust Query Processing – Summary and Abstracts Collection
Goetz Graefe, Harumi Anne Kuno, Arnd Christian König, Volker Markl, Kai-Uwe Sattler
February 2011
-
Fast Set Intersection in Memory
Bolin Ding, Arnd Christian König
37th International Conference on Very Large Databases (VLDB) | January 2011
-
Database Access Control & Privacy: Is There A Common Ground?
Surajit Chaudhuri, Raghav Kaushik, Ravi Ramamurthy
Conference on Innovative Database Research | January 2011
Conference on Innovative Database Research
-
Automatically Tagging Entities with Descriptive Phrases
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
WWW (Poster paper) | January 2011
-
Location-aware Click Prediction in Mobile local Search
Dimitrios Lymberopoulos, Peixiang Zhao, Arnd Christian König, Klaus Berberich, Jie Liu
Conference in Information and Knoweledge Management (CIKM) | January 2011
-
On the Complexity of Privacy-Preserving Complex Event Processing
Yeye He, Siddharth Barman, Di Wang, Jeffery Naughton
Proceedings of the Principles of Database Systems (PODS) | January 2011
Proceedings of the Principles of Database Systems (PODS)
-
Preventing Equivalence Attacks in Updated, Anonymized Data
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Data Engineering (ICDE) | January 2011
-
Hyder – A Transactional Record Manager for Shared Flash
Phil Bernstein, Colin Reid, Sudipto Das
CIDR | January 2011
Best Paper Award
-
Optimistic Concurrency Control by Melding Trees
Phil Bernstein, Colin Reid, Ming Wu, Xinhao Yuan
PVLDB | January 2011
-
Learning a Bi-Stochastic Data Similarity Matrix
Fei Wang, Ping Li, Arnd Christian König, Arnd Christian König
The 10th International Conference on Data Mining (ICDM) | December 2010
-
b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li, Arnd Christian König, Wenhao Gui
Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS) | December 2010
-
Real-Time Spatio-Temporal Analytics using Microsoft StreamInsight
Badrish Chandramouli, Mohamed Ali, Balan S. Raman, Ed Katibah
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS ’10), San Jose, California | November 2010
-
Object-Oriented Constraints for XML Schema
Suad Alagic, Phil Bernstein, Ruchi Jairath
ICOODB | September 2010
-
High-Performance Dynamic Pattern Matching over Disordered Streams
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Singapore | September 2010
-
Tree Indexing on Solid State Drives
Yinan Li, Bingsheng He, Jun Yang, Qiong Luo, Ke Yi
PVLDB | September 2010
-
Automated Co-evoluation of Conceptual Models, Physical Databases, and Mapings
James Terwilliger, Phil Bernstein, Adi Unnithan
Conceptual Modeling — ER 2010 | September 2010
ISBN: 978-3-642-16372-2
-
Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
-
Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Arnd Christian König, Dong Xin
International Conference on Management of Data (SIGMOD 2010) | June 2010
International Conference on Management of Data (SIGMOD 2010)
-
On Indexing Error-Tolerant Set Containment
Parag Agrawal, Arvind Arasu, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2010
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
-
On Active Learning of Record Matching Packages
Arvind Arasu, Michaela Götz, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2010
-
An Extensible Test Framework for the Microsoft StreamInsight Query Processor
Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed Ali
International Workshop on Testing Database Systems (DBTest 2010) colocated with SIGMOD 2010, Indianapolis, Indiana, USA | June 2010
-
Spatio-Temporal Stream Processing in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah
June 2010
-
b-Bit Minwise Hashing
Ping Li, Arnd Christian König
Nineteenth International World Wide Web Conference (WWW 2010) | April 2010
-
Interactive Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
ICDE | April 2010
-
Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
-
Estimating the Compression Fraction of an Index Using Sampling
Vivek Narasayya, Ravi Ramamurthy, Raghav Kaushik, Stratos Idreos
International Conference on Data Engineering (ICDE) | March 2010
International Conference on Data Engineering (ICDE)
-
Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
-
k-symmetry model for identity anonymization in social networks
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zhihui Wang
EDBT 2010, 13th International Conference on Extending Database Technology (EDBT 2010) | March 2010
-
Precomputing Search Features for Fast and Accurate Query Classification
Arnd Christian König, Arnd Christian König, Venkatesh Ganti, Xiao Li, Venky Ganti
Third ACM International Conference on Web Search and Data Mining (WSDM 2010) | February 2010
Third ACM International Conference on Web Search and Data Mining (WSDM 2010)
-
Keyword++: A Framework to Improve Keyword Search Over Entity Databases
Venkatesh Ganti, Yeye He, Dong Xin
Proceedings of International Conference on Very Large Databases (VLDB) | January 2010
-
Worry-Free Database Upgrades: Automated Model-Driven Evolution of Schemas and Complex Mappings
James Terwilliger, Phil Bernstein, Adi Unnithan
January 2010
-
Reverse Engineering Models from Databases to Bootstrap Application Development
Ankit Malpani, Phil Bernstein, Sergey Melnik, James Terwilliger
International Conference on Data Engineering | January 2010
-
Personalization as a service: the architecture and a case study
Hang Guo, Jidong Chen, Wentao Wu, Wei Wang
Proceedings of the First International CIKM Workshop on Cloud Data Management (CloudDb 2009) | November 2009
-
iMecho: an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009) | November 2009
-
Learning String Transformations from Examples
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
VLDB | August 2009
-
On-The-Fly Progress Detection In Iterative Stream Queries
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Lyon, France | August 2009
International Conference on Very Large Databases (VLDB), Lyon, France
-
Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
-
HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching
Arnab Nandi, Phil Bernstein
Proceedings of VLDB 2009 | August 2009
-
Who Talks to Whom: Modeling Latent Structures in Dialogue Documents
Bailu Ding, Jiang-Ming Yang, Chong Wang, Rui Cai, Zhiwei Li (李志伟), Lei Zhang
NIPS Workshop on Applications for Topic Models: Text and Beyond | July 2009
-
Click-Through Prediction for News Queries
Arnd Christian König, Michael Gamon, Qiang Wu
32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009) | July 2009
-
A Framework for Testing Query Transformation Rules
Vivek Narasayya, Ravi Ramamurthy, Hicham Elmongui
June 2009
-
Search your memory ! – an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Chunxin Xie
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2009) | June 2009
ISBN: 978-1-60558-551-2
-
A Declarative Entity Representation Framework
Arvind Arasu, Raghav Kaushik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2009
-
Extending Autocompletion to Tolerate Errors
Surajit Chaudhuri, Raghav Kaushik
ACM SIGMOD | June 2009
-
Interactive Plan Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
SIGMOD | June 2009
-
Navigation Patterns from and to Social Media
Michael Gamon, Arnd Christian König
3rd AAAI Conference on Weblogs and Social Media (ICWSM 2009) | May 2009
-
Exploiting Web Search Engines to Search Structured Information
Sanjay Agrawal, Surajit Chaudhuri, Kaushik Chakrabarti, Venkatesh Ganti, Dong Xin, Arnd Christian König, Arnd Christian König, Venky Ganti
18th International World Wide Web Conference (WWW 2009) | April 2009
-
A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
-
Query Portals: Dynamically Generating Portals for Web
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti, Arnd Christian König, Dong Xin
18th International World Wide Web Conference (WWW 2009) | April 2009
18th International World Wide Web Conference (WWW 2009)
-
A Data Structure for Sponsored Search
Arnd Christian König, Ken Church, Martin Markov
24th International Conference on Data Engineering (ICDE) | March 2009
-
Large-Scale Deduplication with Constraints using Dedupalog
Arvind Arasu, Christopher Re, Dan Suciu
Proceedings of the 25th International Conference on Data Engineering, ICDE 2009 | March 2009
-
Tree Indexing on Flash Disks
Yinan Li, Bingsheng He, Qiong Luo, Ke Yi
Proceedings of the 25th International Conference on Data Engineering, ICDE 2009, March 29 2009 – April 2 2009, Shanghai, China | March 2009
-
Efficiently indexing shortest paths by exploiting symmetry in graphs
Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He
12th International Conference on Extending Database Technology (EDBT 2009) | March 2009
-
Power Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
-
Anonymization of Set Valued Data via Top Down, Local Generalization
Yeye He, Jeffrey Naughton
Proceedings of International Conference on Very Large Database (VLDB) | January 2009
-
Entity Categorization over Large Document Collections
Venky Ganti, Arnd Christian König, Rares Vernica
14th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008) | August 2008
-
A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
-
An Efficient Filter for Approximate Membership Checking
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008) | June 2008
-
Transformation-based Framework for Record Matching
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
Proceedings of the 24th International Conference on Data Engineering, ICDE 2008 | June 2008
-
ProSem: Scalable Wide-Area Publish/Subscribe
Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng
2008 ACM SIGMOD International Conference on Management of Data (SIGMOD ’08) | June 2008
-
Incorporating String Transformations in Record Matching
Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
SIGMOD | June 2008
-
BLEWS: Using Blogs to Provide Context for News Articles
Michael Gamon, Sumit Basu, Dmitriy Belenko, Danyel Fisher, Matthew Hurst, Arnd Christian König
2nd AAAI Conference on Weblogs and Social Media (ICWSM 2008) | April 2008
-
Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
-
Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination
Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He
13th International Conference on Database Systems for Advanced Applications (DASFAA 2008) | March 2008
-
Constrained Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
-
Scalable Adhoc Entity Extraction from Text Collections
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
VLDB Conference | January 2008
VLDB Conference
-
Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
-
Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
-
Heavy-Tailed Distributions and Multi-Keyword Queries
Surajit Chaudhuri, Kenneth Church, Liying Sui, Arnd Christian König, Arnd Christian König, Ken Church
30th ACM SIGIR International Conference on Research & Developement on Information Retreival | July 2007
-
EaseDB: a cache-oblivious in-memory query processor
Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang
Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007 | June 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
-
An Online Approach to Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
-
Physical design refinement: The merge-reduce approach
Nicolas Bruno, Surajit Chaudhuri
Transactions on Database Systems | January 2007
-
Online autoadmin: (physical design tuning)
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2007
-
Example Driven Design of Efficient Record Matching Queries
Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
VLDB | January 2007
-
Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
-
Leveraging Aggregate Constraints for Deduplication
Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
SIGMOD | January 2007
-
Consistent Streaming Through Time: A Vision for Event Stream Processing
Roger Barga, Jonathan Goldstein, Mohamed Ali, Mingsheng Hong,
3rd Biennial Conference on Innovative Data Systems Research (CIDR 2007) | January 2007
-
Efficient Exact Set-Similarity Joins
Arvind Arasu, Venky Ganti, Raghav Kaushik
Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB 2006 | August 2006
Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB 2006
-
Automating Physical Database Design: Workload as a Sequence
Sanjay Agrawal, Eric Chu, Vivek Narasayya
SIGMOD | June 2006
-
Reducing the Human Overhead in Text Categorization
Arnd Christian König, Eric Brill
Proceedings of KDD 2006 | January 2006
-
Scalable Exploration of Physical Database Design
Arnd Christian König, Shubha U. Nabar
22nd International Conference on Data Engineering | January 2006
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To Tune or not to Tune? A Lightweight Physical Design Alerter
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2006
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Generating Queries with Cardinality Constraints for DBMS Testing
Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
Transactions on Knowledge and Data Engineering | January 2006
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AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
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A Primitive Operator for Similarity Joins in Data Cleaning
Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
ICDE | January 2006
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Robust Cardinality and Cost Estimation for Skyline Operator
Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
ICDE | January 2006
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Efficient Computation of Multiple Group-By Queries
Vivek Narasayya, Zhimin Chen
SIGMOD | June 2005
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Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
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Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Jonathan Goldstein, John Platt, Chris J.C. Burges
May 2005
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Automatic Physical Database Tuning: A Relaxation-based Approach
Nicolas Bruno, Surajit Chaudhuri
Proceedings of the ACM International Conference on Management of Data (SIGMOD) | January 2005
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Flexible Database Generators
Nicolas Bruno, Surajit Chaudhuri
January 2005
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When Can we Trust Progress Estimators for SQL Queries?
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
SIGMOD | January 2005
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Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
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Resource Sharing in Continuous Sliding-Window Aggregates
Arvind Arasu, Jennifer Widom
Proceedings of the 30th International Conference on Very Large Data Bases (VLDB 2004) | August 2004
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Approximate Counts and Quantiles over Sliding Windows
Gurmeet Singh Manku, Arvind Arasu
Proceedings of the 23rd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, PODS 2004 | June 2004
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Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
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Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design
Sanjay Agrawal, Vivek Narasayya, Beverly Yang
SIGMOD | June 2004
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SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
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Conditional Selectivity for Statistics on Query Expressions
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2004
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Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
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Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
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Extracting structured data from Web pages
Arvind Arasu, Hector Garcia-Molina
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data | June 2003
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
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Databases and IR: Perspectives of a SQL Guy
NSF Information and Data Management PI Workshop | January 2003
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On Relational Support for XML Publishing: Beyond Sorting and Tagging
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
SIGMOD | January 2003
SIGMOD
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Reliability in Single Domain vs. Multi Domain Optical Mesh Networks
A. A. Akyamac, Sudipta Sengupta, Surajit Chaudhuri
National Fiber Optic Engineers Conference (NFOEC) 2002, Dallas (USA) | October 2002
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DBXplorer: Enabling Keyword Search over Relational Databases
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
ACM SIGMOD 2002 | June 2002
ISBN: 1-58113-497-5
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Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
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Analysis of Enhanced OSPF for Routing Lightpaths in Optical Mesh Networks
Sudipta Sengupta, D. Saha, Surajit Chaudhuri
IEEE International Conference on Communications (ICC) 2002, New York (USA) | April 2002
ISBN: 0-7803-7400-2
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A Framework for the Physical Design Problem for Data Synopses
Arnd Christian König, Arnd Christian Konig, Gerhard Weikum
EDBT 2002 – Advances in Database Technology | January 2002
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Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
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An Overview of Query Optimization in Relational Systems (paper)
January 1998
Proceedings of 1998 ACM PODS
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An Empirical Study on Challenging Math Problem Solving with GPT-4
Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang (Eric) Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
June 2023
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Generic Schema Matching With Cupid
Jayant Madhavan, Phil Bernstein, Erhard Rahm
MSR-TR-2001-58 | August 2001
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
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STHoles: A Multidimensional Workload-Aware Histogram
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
MSR-TR-2001-36 | March 2001
Published by Microsoft
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On Matching Schemas Automatically
Erhard Rahm, Phil Bernstein
MSR-TR-2001-17 | February 2001
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A Vision for Management of Complex Models
Phil Bernstein, Alon Y. Levy, Rachel A. Pottinger
MSR-TR-2000-53 | June 2000
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Accurate Query Optimization by Sub-plan Memoization
Ashraf Aboulnaga, Surajit Chaudhuri
MSR-TR-1999-102 | December 1999
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The Asilomar Report on Database Research
Phil Bernstein, et al
MSR-TR-98-57 | September 1998
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A Critique of ANSI SQL Isolation Levels
Hal Berenson, Phil Bernstein, Jim Gray, Jim Melton, Elizabeth O'Neil, Patrick O'Neil
MSR-TR-95-51 | June 1995
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T-ReX: Optimizing Pattern Search on Time Series (Extended Version)
Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
MSR-TR-2023-12 | March 2023
Published by Microsoft
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High-Performance Row Pattern Recognition Using Joins (Technical Report)
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
MSR-TR-2022-34 | May 2022
Published by Microsoft
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Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
MSR-TR-2021-29 | September 2021
Published by Microsoft
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Published by Microsoft Research
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ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska
MSR-TR-2020-12 | May 2020
Published by Microsoft
SIGMOD 2020 | June 2020
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Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
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CRA: A Common Runtime for Applications
Badrish Chandramouli, Umar Farooq Minhas, Ibrahim Sabek
MSR-TR-2019-2 | February 2019
Published by Microsoft
https://github.com/Microsoft/CRA
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A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Published by Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
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Transactions for Distributed Actors in the Cloud
Tamer Eldeeb, Phil Bernstein
MSR-TR-2016-1001 | October 2016
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The Quill Distributed Analytics Library and Platform
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
MSR-TR-2016-25 | August 2016
Technical Report
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Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
MSR-TR-2016-15 | June 2016
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
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Scalable Progressive Analytics on Big Data in the Cloud
Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar
MSR-TR-2013-78 | August 2014
International Conference on Very Large Databases (PVLDB Vol. 6, Issue. 14)
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Transaction Processing on Confidential Data Using Cipherbase
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy
MSR-TR-2014-106 | August 2014
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The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
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Orleans: Distributed Virtual Actors for Programmability and Scalability
Phil Bernstein, Sergey Bykov, Alan Geller, Gabriel Kliot, Jorgen Thelin
MSR-TR-2014-41 | March 2014
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Incremental Mapping Compilation in an Object-to-Relational Mapping System (Extended Version)
Phil Bernstein, Marie Jacob, Jorge Perez, Guillem Rull, James Terwilliger
MSR-TR-2013-45 | June 2013
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
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Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
Danyel Fisher, Steven Drucker, Arnd Christian König
MSR-TR-2012-134 | July 2012
IEEE Computer Graphics and Applications
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Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
MSR-TR-2011-82 | July 2011
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Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
MSR-TR-2011-87 | June 2011
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Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
MSR-TR-2010-130 | September 2010
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FD-Buffer: A Buffer Manager for Databases on Flash Disks
Sai Tung On, Yinan Li, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu
MSR-TR-2010-121 | September 2010
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Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
MSR-TR-2010-146 | July 2010
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An Object-oriented Core for XML Schema
Suad Alagic, Phil Bernstein
MSR-TR-2008-182 | December 2008
Revised May 2009
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Mapping XSD to OO Schemas
Suad Alagic, Phil Bernstein
MSR-TR-2008-183 | December 2008
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Provenance Algebra and Materialized View-based Provenance Management
Satya S. Sahoo, Roger S. Barga, Jonathan Goldstein, Amit P. Sheth
MSR-TR-2008-170 | November 2008
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Consistency Sensitive Operators in CEDR
Jonathan Goldstein, Mingsheng Hong, Mohamed Ali,
MSR-TR-2007-158 | December 2007
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Translating Schemas and Data Between Metamodels
Peter Mork, Philip A. Bernstein, Sergey Melnik, Phil Bernstein
MSR-TR-2007-36 | April 2007
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An Online Bibliography on Schema Evolution
Erhard Rahm, Phil Bernstein
MSR-TR-2006-141 | October 2006
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Relaxed Currency Serializability for Middle-Tier Caching and Replication (extended version)
Phil Bernstein, Alan Fekete, Hongfei Guo, Raghu Ramakrishnan, Pradeep Tamma
MSR-TR-2006-34 | June 2006
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Partially Materialized Views
Jingren Zhou, Paul Larson, Jonathan Goldstein
MSR-TR-2005-77 | June 2005
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A Semantics for Model Management Operators
Sergey Melnik, Philip A. Bernstein, Alon Halevy, Erhard Rahm, Phil Bernstein
MSR-TR-2004-59 | June 2004
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Challenges in Precisely Aligning Models of Human Anatomy Using Generic Schema Matching
Peter Mork, Rachel A. Pottinger, Phil Bernstein
MSR-TR-2003-76 | September 2003
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The Lowell Database Research Self Assessment
Stan Zdonik, Jennifer Widom, Gerhard Weikum, Jeff Ullman, Rick Snodgrass, Mike Stonebraker, Avi Silberschatz, Timos Sellis, Hans Schek, Jeff Naughton, David Maier, Serge Abiteboul, Rakesh Agrawal, Phil Bernstein, Mike Carey, Stefano Ceri, Bruce Croft, David DeWitt, Mike Franklin, Hector Garcia Molina, Dieter Gawlick, Jim Gray, Laura Haas, Alon Halevy, Joe Hellerstein, Yannis Ioannidis, Martin Kersten, Michael Pazzani, Mike Lesk
MSR-TR-2003-69 | June 2003
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Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
June 2020
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On The Security Of Querying Encrypted Data
Arvind Arasu, Raghav Kaushik, Ravi Ramamurthy
January 2012
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Temporal Graph Traversals: Definitions, Algorithms, and Applications
Silu Huang, James Cheng, Huanhuan Wu
January 2014
January 2014
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Leadership and Advocacy
Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker | Published by ACM and Morgan Claypool | 2018
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