Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
Publications
-
-
-
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
-
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
-
Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
-
-
-
-
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
-
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
-
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
-
-
-
Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
-
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
-
-
-
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
-
Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 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
-
-
-
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
-
Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
-
-
Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
-
Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
International Conference on Management of Data (SIGMOD) | May 2017
-
-
-
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
-
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
-
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
-
Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
-
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
-
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
-
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
-
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
-
Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
-
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
-
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
-
Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 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
-
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
-
Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
-
Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
International Conference on Management of Data (SIGMOD) | May 2017
-
-
-
-
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
-
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
-
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
-
Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
-
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
-
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
-
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
-
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
-
Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
-
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
-
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
-
Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 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
-
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
-
Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
-
Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
International Conference on Management of Data (SIGMOD) | May 2017
-