CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
Experiences & Devices
Add this tag to projects and papers that involve staff who are within the E+D org.
论文与出版物
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NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results
Varun Jain, Zongwei Wu, Quan Zou, Louis Florentin, Henrik Turbell, Sandeep Siddhartha, Radu Timofte
2025 Computer Vision and Pattern Recognition | June 2025
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Perspectives: Creating Inclusive and Equitable Hybrid Meeting Experiences
John Tang, Kori Inkpen, Sasa Junuzovic, Keri Mallari, Andrew D. Wilson, Sean Rintel, Shiraz Cupala, Tony Carbary, Abigail Sellen, Bill Buxton
CSCW 2023 | October 2023
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Helping Pull Request Reviewer Recommendation Systems to Focus
Nikola Pejic, Zaharije Radivojević, Miloš Cvetanović
IEEE Access | July 2023
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Hear We Are: Spatial Audio Benefits Perceptions of Turn-Taking and Social Presence in Video Meetings
Kate Nowak, Lev Tankelevitch, John Tang, Sean Rintel
CHIWORK 2023 | June 2023
Honorable Mention
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Spatialized Audio and Hybrid Video Conferencing: Where Should Voices be Positioned for People in the Room and Remote Headset Users?
Jeremy Hyrkas, Andrew D. Wilson, John Tang, Hannes Gamper, Hong Sodoma, Lev Tankelevitch, Kori Inkpen, Shreya Chappidi, Brennan Jones
CHI 2023 | April 2023
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DigiFace-1M: 1 Million Digital Face Images for Face Recognition
Gwangbin Bae, Martin de La Gorce, Tadas Baltrusaitis, Charlie Hewitt, Dong Chen, Julien Valentin, Roberto Cipolla, Jingjing Shen
Winter Conference on Applications of Computer Vision | January 2023
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Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Chirag Raman, Charlie Hewitt, Erroll Wood, Tadas Baltrusaitis
Winter Conference on Applications of Computer Vision | January 2023
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Procedural Humans for Computer Vision
Charlie Hewitt, Tadas Baltrusaitis, Erroll Wood, Lohit Petikam, Louis Florentin, Hanz Cuevas Velasquez
MSR-TR-2023-3 | January 2023
作者：Microsoft
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The Tensor Data Platform: Towards an AI-centric Database System
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
CIDR | January 2023
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ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ACML 2022 | December 2022
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SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundar Srinivasan, Vivek Gupta
2022 Empirical Methods in Natural Language Processing | December 2022
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Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats
Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan
2022 Neural Information Processing Systems | December 2022
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AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
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Towards Authorship Obfuscation with Language Models
Computers and Communication Security (CCS) | November 2022
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How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
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“It’s only when somebody says a tool worked for them that I believe it will work for me”: Socio-tecture as a lens for digital transformation
Kagonya Awori, Melisa Achoko Allela, Stephanie Nyairo, Samuel Chege Maina, Jacki O'Neill
2022 Conference on Computer Supported Cooperative Work | November 2022
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3D Face Reconstruction with Dense Landmarks
Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan Garbin, Chirag Raman, Jamie Shotton, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien Valentin
2022 European Conference on Computer Vision | October 2022
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Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
VLDB | September 2022, 第 15 卷(12): pp. 3598-3601
Best demo award
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Characterizing the Usage of CI Tools in ML Projects
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
ESEM 2022 | September 2022
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Participatory Design: An East African Take
Kagonya Awori, Fiona Catherine Ssozi, Rehema Baguma
Participatory Design Conference | August 2022
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Between a rock and a hard place: Negotiating Dependencies and Precarity in the On-Demand Economy
Srihari Hulikal Muralidhar, Claus Bossen, Jacki O'Neill
Journal of Computer-Supported Cooperative Work | July 2022, 第 31 卷(3): pp. 443-486
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Transformers are Meta-Reinforcement Learners
Luckeciano Carvalho Melo
ICML 2022 | July 2022
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Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou (寿林钧), Nan Duan, Ming Gong (YIMING), Daxin Jiang (姜大昕)
IJCAI 2022 | July 2022
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Keynote: Searching for a New and Better Future of Work
2022 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2022
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Walk a Mile in Their Shoes: The Covid pandemic through the lens of four tech workers
Jenna Butler, Catherine Yeh
ACM Queue | May 2022, 第 20 卷(2)
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
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Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling
Nuo Chen, Linjun Shou (寿林钧), Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
NAACL 2022 | April 2022
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SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, 第 27 卷(4)
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Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW’22 Companion | April 2022
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From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension
Nuo Chen, Linjun Shou (寿林钧), Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
AAAI 2022 | December 2021
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A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums
Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Ashish Sharma, Evans Gitau, Jacki O'Neill, Kagonya Awori, Sarah Gitau
LAW | EMNLP | December 2021
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Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Yingmei Guo, Linjun Shou (寿林钧), Jian Pei, Ming Gong (YIMING), Mingxing Xu, Zhiyong Wu, Daxin Jiang (姜大昕)
EMNLP 2021 | October 2021
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WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou (寿林钧), Ming Gong (YIMING), Daxin Jiang (姜大昕), Nan Duan
EMNLP 2021 | October 2021
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Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
Shining Liang, Ming Gong (YIMING), Jian Pei, Linjun Shou (寿林钧), Wanli Zuo, Xiang-lin Zuo, Daxin Jiang (姜大昕)
2021 Knowledge Discovery and Data Mining | August 2021
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Retrieval Enhanced Model for Commonsense Generation
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou (寿林钧), Ming Gong (YIMING), Yichong Xu, Michael Zeng
ACL-IJCNLP 2021 | August 2021
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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng
ICASSP2021 | June 2021
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CoSQA: 20,000+ Web Queries for Code Search and Question Answering
Junjie Huang, Duyu Tang, Linjun Shou (寿林钧), Ming Gong (YIMING), Ke Xu, Daxin Jiang (姜大昕), Ming Zhou, Nan Duan
ACL-IJCNLP 2021 | May 2021
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Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Hong Qu, Michael Zeng
arXiv:2102.06578 | February 2021
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A Simple Approach to Learning Unsupervised Multilingual Embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2020 Empirical Methods in Natural Language Processing | November 2020
DOI Publication Preprint Publication Publication Publication Publication
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ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Aaron L Halfaker, R. Stuart Geiger
Proceedings of the ACM on Human-Computer Interaction | October 2020, 第 4 卷(CSCW2): pp. 1-37
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Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
Junhao Liu, Linjun Shou (寿林钧), Jian Pei, Ming Gong (YIMING), Min Yang, Daxin Jiang (姜大昕)
COLING 2020 | October 2020
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong (YIMING), Linjun Shou (寿林钧), Bing Qin, Ting Liu, Daxin Jiang (姜大昕), Ming Zhou
Findings of EMNLP 2020 | September 2020
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Geometry-aware domain adaptation for unsupervised alignment of word embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
ACL 2020 | July 2020
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Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
Linjun Shou (寿林钧), Shining Bo, Feixiang Cheng, Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
KDD 2020 | June 2020
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DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
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Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Fei Yuan, Linjun Shou (寿林钧), Xuanyu Bai, Ming Gong (YIMING), Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang (姜大昕)
ACL 2020 | April 2020
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
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Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
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NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
Ming Gong (YIMING), Linjun Shou (寿林钧), Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang (姜大昕)
EMNLP 2019 | November 2019
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Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
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Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Ming Zhou
EMNLP 2019 | September 2019
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Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
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Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
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Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
Transactions of the Association for Computational Linguistics | April 2019, 第 7 卷: pp. 107-120
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Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang, Linjun Shou (寿林钧), Ming Gong (YIMING), Wutao Lin, Daxin Jiang (姜大昕)
WSDM 2020 | February 2019
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NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results
Varun Jain, Zongwei Wu, Quan Zou, Louis Florentin, Henrik Turbell, Sandeep Siddhartha, Radu Timofte
2025 Computer Vision and Pattern Recognition | June 2025
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Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Chirag Raman, Charlie Hewitt, Erroll Wood, Tadas Baltrusaitis
Winter Conference on Applications of Computer Vision | January 2023
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DigiFace-1M: 1 Million Digital Face Images for Face Recognition
Gwangbin Bae, Martin de La Gorce, Tadas Baltrusaitis, Charlie Hewitt, Dong Chen, Julien Valentin, Roberto Cipolla, Jingjing Shen
Winter Conference on Applications of Computer Vision | January 2023
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Procedural Humans for Computer Vision
Charlie Hewitt, Tadas Baltrusaitis, Erroll Wood, Lohit Petikam, Louis Florentin, Hanz Cuevas Velasquez
MSR-TR-2023-3 | January 2023
作者：Microsoft
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3D Face Reconstruction with Dense Landmarks
Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan Garbin, Chirag Raman, Jamie Shotton, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien Valentin
2022 European Conference on Computer Vision | October 2022
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
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The Tensor Data Platform: Towards an AI-centric Database System
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
CIDR | January 2023
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SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundar Srinivasan, Vivek Gupta
2022 Empirical Methods in Natural Language Processing | December 2022
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ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ACML 2022 | December 2022
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AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
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Towards Authorship Obfuscation with Language Models
Computers and Communication Security (CCS) | November 2022
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Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
VLDB | September 2022, 第 15 卷(12): pp. 3598-3601
Best demo award
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Transformers are Meta-Reinforcement Learners
Luckeciano Carvalho Melo
ICML 2022 | July 2022
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Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou (寿林钧), Nan Duan, Ming Gong (YIMING), Daxin Jiang (姜大昕)
IJCAI 2022 | July 2022
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
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Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling
Nuo Chen, Linjun Shou (寿林钧), Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
NAACL 2022 | April 2022
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Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW’22 Companion | April 2022
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SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, 第 27 卷(4)
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From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension
Nuo Chen, Linjun Shou (寿林钧), Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
AAAI 2022 | December 2021
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Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
Shining Liang, Ming Gong (YIMING), Jian Pei, Linjun Shou (寿林钧), Wanli Zuo, Xiang-lin Zuo, Daxin Jiang (姜大昕)
2021 Knowledge Discovery and Data Mining | August 2021
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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng
ICASSP2021 | June 2021
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CoSQA: 20,000+ Web Queries for Code Search and Question Answering
Junjie Huang, Duyu Tang, Linjun Shou (寿林钧), Ming Gong (YIMING), Ke Xu, Daxin Jiang (姜大昕), Ming Zhou, Nan Duan
ACL-IJCNLP 2021 | May 2021
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Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Hong Qu, Michael Zeng
arXiv:2102.06578 | February 2021
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A Simple Approach to Learning Unsupervised Multilingual Embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2020 Empirical Methods in Natural Language Processing | November 2020
DOI Publication Preprint Publication Publication Publication Publication
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ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Aaron L Halfaker, R. Stuart Geiger
Proceedings of the ACM on Human-Computer Interaction | October 2020, 第 4 卷(CSCW2): pp. 1-37
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Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
Junhao Liu, Linjun Shou (寿林钧), Jian Pei, Ming Gong (YIMING), Min Yang, Daxin Jiang (姜大昕)
COLING 2020 | October 2020
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Geometry-aware domain adaptation for unsupervised alignment of word embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
ACL 2020 | July 2020
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Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
Linjun Shou (寿林钧), Shining Bo, Feixiang Cheng, Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
KDD 2020 | June 2020
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Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Fei Yuan, Linjun Shou (寿林钧), Xuanyu Bai, Ming Gong (YIMING), Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang (姜大昕)
ACL 2020 | April 2020
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
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NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
Ming Gong (YIMING), Linjun Shou (寿林钧), Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang (姜大昕)
EMNLP 2019 | November 2019
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Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Ming Zhou
EMNLP 2019 | September 2019
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Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
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Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
Transactions of the Association for Computational Linguistics | April 2019, 第 7 卷: pp. 107-120
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Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang, Linjun Shou (寿林钧), Ming Gong (YIMING), Wutao Lin, Daxin Jiang (姜大昕)
WSDM 2020 | February 2019
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
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Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats
Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan
2022 Neural Information Processing Systems | December 2022
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Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling
Nuo Chen, Linjun Shou (寿林钧), Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
NAACL 2022 | April 2022
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A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums
Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Ashish Sharma, Evans Gitau, Jacki O'Neill, Kagonya Awori, Sarah Gitau
LAW | EMNLP | December 2021
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Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Yingmei Guo, Linjun Shou (寿林钧), Jian Pei, Ming Gong (YIMING), Mingxing Xu, Zhiyong Wu, Daxin Jiang (姜大昕)
EMNLP 2021 | October 2021
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WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou (寿林钧), Ming Gong (YIMING), Daxin Jiang (姜大昕), Nan Duan
EMNLP 2021 | October 2021
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Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
Shining Liang, Ming Gong (YIMING), Jian Pei, Linjun Shou (寿林钧), Wanli Zuo, Xiang-lin Zuo, Daxin Jiang (姜大昕)
2021 Knowledge Discovery and Data Mining | August 2021
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Retrieval Enhanced Model for Commonsense Generation
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou (寿林钧), Ming Gong (YIMING), Yichong Xu, Michael Zeng
ACL-IJCNLP 2021 | August 2021
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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng
ICASSP2021 | June 2021
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CoSQA: 20,000+ Web Queries for Code Search and Question Answering
Junjie Huang, Duyu Tang, Linjun Shou (寿林钧), Ming Gong (YIMING), Ke Xu, Daxin Jiang (姜大昕), Ming Zhou, Nan Duan
ACL-IJCNLP 2021 | May 2021
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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Hong Qu, Michael Zeng
arXiv:2102.06578 | February 2021
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Geometry-aware domain adaptation for unsupervised alignment of word embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
ACL 2020 | July 2020
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
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Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Ming Zhou
EMNLP 2019 | September 2019
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
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Perspectives: Creating Inclusive and Equitable Hybrid Meeting Experiences
John Tang, Kori Inkpen, Sasa Junuzovic, Keri Mallari, Andrew D. Wilson, Sean Rintel, Shiraz Cupala, Tony Carbary, Abigail Sellen, Bill Buxton
CSCW 2023 | October 2023
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Hear We Are: Spatial Audio Benefits Perceptions of Turn-Taking and Social Presence in Video Meetings
Kate Nowak, Lev Tankelevitch, John Tang, Sean Rintel
CHIWORK 2023 | June 2023
Honorable Mention
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Spatialized Audio and Hybrid Video Conferencing: Where Should Voices be Positioned for People in the Room and Remote Headset Users?
Jeremy Hyrkas, Andrew D. Wilson, John Tang, Hannes Gamper, Hong Sodoma, Lev Tankelevitch, Kori Inkpen, Shreya Chappidi, Brennan Jones
CHI 2023 | April 2023
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SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundar Srinivasan, Vivek Gupta
2022 Empirical Methods in Natural Language Processing | December 2022
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“It’s only when somebody says a tool worked for them that I believe it will work for me”: Socio-tecture as a lens for digital transformation
Kagonya Awori, Melisa Achoko Allela, Stephanie Nyairo, Samuel Chege Maina, Jacki O'Neill
2022 Conference on Computer Supported Cooperative Work | November 2022
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Participatory Design: An East African Take
Kagonya Awori, Fiona Catherine Ssozi, Rehema Baguma
Participatory Design Conference | August 2022
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Between a rock and a hard place: Negotiating Dependencies and Precarity in the On-Demand Economy
Srihari Hulikal Muralidhar, Claus Bossen, Jacki O'Neill
Journal of Computer-Supported Cooperative Work | July 2022, 第 31 卷(3): pp. 443-486
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Walk a Mile in Their Shoes: The Covid pandemic through the lens of four tech workers
Jenna Butler, Catherine Yeh
ACM Queue | May 2022, 第 20 卷(2)
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Aaron L Halfaker, R. Stuart Geiger
Proceedings of the ACM on Human-Computer Interaction | October 2020, 第 4 卷(CSCW2): pp. 1-37
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Perspectives: Creating Inclusive and Equitable Hybrid Meeting Experiences
John Tang, Kori Inkpen, Sasa Junuzovic, Keri Mallari, Andrew D. Wilson, Sean Rintel, Shiraz Cupala, Tony Carbary, Abigail Sellen, Bill Buxton
CSCW 2023 | October 2023
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Hear We Are: Spatial Audio Benefits Perceptions of Turn-Taking and Social Presence in Video Meetings
Kate Nowak, Lev Tankelevitch, John Tang, Sean Rintel
CHIWORK 2023 | June 2023
Honorable Mention
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Spatialized Audio and Hybrid Video Conferencing: Where Should Voices be Positioned for People in the Room and Remote Headset Users?
Jeremy Hyrkas, Andrew D. Wilson, John Tang, Hannes Gamper, Hong Sodoma, Lev Tankelevitch, Kori Inkpen, Shreya Chappidi, Brennan Jones
CHI 2023 | April 2023
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Between a rock and a hard place: Negotiating Dependencies and Precarity in the On-Demand Economy
Srihari Hulikal Muralidhar, Claus Bossen, Jacki O'Neill
Journal of Computer-Supported Cooperative Work | July 2022, 第 31 卷(3): pp. 443-486
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Aaron L Halfaker, R. Stuart Geiger
Proceedings of the ACM on Human-Computer Interaction | October 2020, 第 4 卷(CSCW2): pp. 1-37
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Helping Pull Request Reviewer Recommendation Systems to Focus
Nikola Pejic, Zaharije Radivojević, Miloš Cvetanović
IEEE Access | July 2023
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AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
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How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
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Characterizing the Usage of CI Tools in ML Projects
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
ESEM 2022 | September 2022
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Walk a Mile in Their Shoes: The Covid pandemic through the lens of four tech workers
Jenna Butler, Catherine Yeh
ACM Queue | May 2022, 第 20 卷(2)
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
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Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW’22 Companion | April 2022
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SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, 第 27 卷(4)
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Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong (YIMING), Linjun Shou (寿林钧), Bing Qin, Ting Liu, Daxin Jiang (姜大昕), Ming Zhou
Findings of EMNLP 2020 | September 2020
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DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
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Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
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Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
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Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
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Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
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Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Chirag Raman, Charlie Hewitt, Erroll Wood, Tadas Baltrusaitis
Winter Conference on Applications of Computer Vision | January 2023
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DigiFace-1M: 1 Million Digital Face Images for Face Recognition
Gwangbin Bae, Martin de La Gorce, Tadas Baltrusaitis, Charlie Hewitt, Dong Chen, Julien Valentin, Roberto Cipolla, Jingjing Shen
Winter Conference on Applications of Computer Vision | January 2023
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Procedural Humans for Computer Vision
Charlie Hewitt, Tadas Baltrusaitis, Erroll Wood, Lohit Petikam, Louis Florentin, Hanz Cuevas Velasquez
MSR-TR-2023-3 | January 2023
作者：Microsoft
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SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundar Srinivasan, Vivek Gupta
2022 Empirical Methods in Natural Language Processing | December 2022
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Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou (寿林钧), Nan Duan, Ming Gong (YIMING), Daxin Jiang (姜大昕)
IJCAI 2022 | July 2022
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Keynote: Searching for a New and Better Future of Work
2022 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2022
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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The Tensor Data Platform: Towards an AI-centric Database System
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
CIDR | January 2023
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Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
VLDB | September 2022, 第 15 卷(12): pp. 3598-3601
Best demo award
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW’22 Companion | April 2022
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Towards Authorship Obfuscation with Language Models
Computers and Communication Security (CCS) | November 2022
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
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How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
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Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW’22 Companion | April 2022
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DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
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Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
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Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
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“It’s only when somebody says a tool worked for them that I believe it will work for me”: Socio-tecture as a lens for digital transformation
Kagonya Awori, Melisa Achoko Allela, Stephanie Nyairo, Samuel Chege Maina, Jacki O'Neill
2022 Conference on Computer Supported Cooperative Work | November 2022
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Between a rock and a hard place: Negotiating Dependencies and Precarity in the On-Demand Economy
Srihari Hulikal Muralidhar, Claus Bossen, Jacki O'Neill
Journal of Computer-Supported Cooperative Work | July 2022, 第 31 卷(3): pp. 443-486
-
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW’22 Companion | April 2022
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Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
Linjun Shou (寿林钧), Shining Bo, Feixiang Cheng, Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
KDD 2020 | June 2020
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Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Fei Yuan, Linjun Shou (寿林钧), Xuanyu Bai, Ming Gong (YIMING), Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang (姜大昕)
ACL 2020 | April 2020
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NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
Ming Gong (YIMING), Linjun Shou (寿林钧), Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang (姜大昕)
EMNLP 2019 | November 2019
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Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang, Linjun Shou (寿林钧), Ming Gong (YIMING), Wutao Lin, Daxin Jiang (姜大昕)
WSDM 2020 | February 2019
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng
ICASSP2021 | June 2021
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
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NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results
Varun Jain, Zongwei Wu, Quan Zou, Louis Florentin, Henrik Turbell, Sandeep Siddhartha, Radu Timofte
2025 Computer Vision and Pattern Recognition | June 2025
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Perspectives: Creating Inclusive and Equitable Hybrid Meeting Experiences
John Tang, Kori Inkpen, Sasa Junuzovic, Keri Mallari, Andrew D. Wilson, Sean Rintel, Shiraz Cupala, Tony Carbary, Abigail Sellen, Bill Buxton
CSCW 2023 | October 2023
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Hear We Are: Spatial Audio Benefits Perceptions of Turn-Taking and Social Presence in Video Meetings
Kate Nowak, Lev Tankelevitch, John Tang, Sean Rintel
CHIWORK 2023 | June 2023
Honorable Mention
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Spatialized Audio and Hybrid Video Conferencing: Where Should Voices be Positioned for People in the Room and Remote Headset Users?
Jeremy Hyrkas, Andrew D. Wilson, John Tang, Hannes Gamper, Hong Sodoma, Lev Tankelevitch, Kori Inkpen, Shreya Chappidi, Brennan Jones
CHI 2023 | April 2023
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Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Chirag Raman, Charlie Hewitt, Erroll Wood, Tadas Baltrusaitis
Winter Conference on Applications of Computer Vision | January 2023
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DigiFace-1M: 1 Million Digital Face Images for Face Recognition
Gwangbin Bae, Martin de La Gorce, Tadas Baltrusaitis, Charlie Hewitt, Dong Chen, Julien Valentin, Roberto Cipolla, Jingjing Shen
Winter Conference on Applications of Computer Vision | January 2023
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The Tensor Data Platform: Towards an AI-centric Database System
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
CIDR | January 2023
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Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats
Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan
2022 Neural Information Processing Systems | December 2022
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SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundar Srinivasan, Vivek Gupta
2022 Empirical Methods in Natural Language Processing | December 2022
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ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ACML 2022 | December 2022
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AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
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Towards Authorship Obfuscation with Language Models
Computers and Communication Security (CCS) | November 2022
-
How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
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“It’s only when somebody says a tool worked for them that I believe it will work for me”: Socio-tecture as a lens for digital transformation
Kagonya Awori, Melisa Achoko Allela, Stephanie Nyairo, Samuel Chege Maina, Jacki O'Neill
2022 Conference on Computer Supported Cooperative Work | November 2022
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3D Face Reconstruction with Dense Landmarks
Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan Garbin, Chirag Raman, Jamie Shotton, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien Valentin
2022 European Conference on Computer Vision | October 2022
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Characterizing the Usage of CI Tools in ML Projects
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
ESEM 2022 | September 2022
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Participatory Design: An East African Take
Kagonya Awori, Fiona Catherine Ssozi, Rehema Baguma
Participatory Design Conference | August 2022
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Transformers are Meta-Reinforcement Learners
Luckeciano Carvalho Melo
ICML 2022 | July 2022
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Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou (寿林钧), Nan Duan, Ming Gong (YIMING), Daxin Jiang (姜大昕)
IJCAI 2022 | July 2022
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Keynote: Searching for a New and Better Future of Work
2022 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2022
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DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
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Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling
Nuo Chen, Linjun Shou (寿林钧), Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
NAACL 2022 | April 2022
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Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW’22 Companion | April 2022
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From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension
Nuo Chen, Linjun Shou (寿林钧), Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
AAAI 2022 | December 2021
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A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums
Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Ashish Sharma, Evans Gitau, Jacki O'Neill, Kagonya Awori, Sarah Gitau
LAW | EMNLP | December 2021
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Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Yingmei Guo, Linjun Shou (寿林钧), Jian Pei, Ming Gong (YIMING), Mingxing Xu, Zhiyong Wu, Daxin Jiang (姜大昕)
EMNLP 2021 | October 2021
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WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou (寿林钧), Ming Gong (YIMING), Daxin Jiang (姜大昕), Nan Duan
EMNLP 2021 | October 2021
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Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
Shining Liang, Ming Gong (YIMING), Jian Pei, Linjun Shou (寿林钧), Wanli Zuo, Xiang-lin Zuo, Daxin Jiang (姜大昕)
2021 Knowledge Discovery and Data Mining | August 2021
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Retrieval Enhanced Model for Commonsense Generation
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou (寿林钧), Ming Gong (YIMING), Yichong Xu, Michael Zeng
ACL-IJCNLP 2021 | August 2021
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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng
ICASSP2021 | June 2021
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CoSQA: 20,000+ Web Queries for Code Search and Question Answering
Junjie Huang, Duyu Tang, Linjun Shou (寿林钧), Ming Gong (YIMING), Ke Xu, Daxin Jiang (姜大昕), Ming Zhou, Nan Duan
ACL-IJCNLP 2021 | May 2021
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Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Junwei Liao, Yu Shi, Ming Gong (YIMING), Linjun Shou (寿林钧), Hong Qu, Michael Zeng
arXiv:2102.06578 | February 2021
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A Simple Approach to Learning Unsupervised Multilingual Embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2020 Empirical Methods in Natural Language Processing | November 2020
DOI Publication Preprint Publication Publication Publication Publication
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Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
Junhao Liu, Linjun Shou (寿林钧), Jian Pei, Ming Gong (YIMING), Min Yang, Daxin Jiang (姜大昕)
COLING 2020 | October 2020
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong (YIMING), Linjun Shou (寿林钧), Bing Qin, Ting Liu, Daxin Jiang (姜大昕), Ming Zhou
Findings of EMNLP 2020 | September 2020
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Geometry-aware domain adaptation for unsupervised alignment of word embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
ACL 2020 | July 2020
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Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
Linjun Shou (寿林钧), Shining Bo, Feixiang Cheng, Ming Gong (YIMING), Jian Pei, Daxin Jiang (姜大昕)
KDD 2020 | June 2020
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DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
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Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Fei Yuan, Linjun Shou (寿林钧), Xuanyu Bai, Ming Gong (YIMING), Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang (姜大昕)
ACL 2020 | April 2020
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
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Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
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NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
Ming Gong (YIMING), Linjun Shou (寿林钧), Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang (姜大昕)
EMNLP 2019 | November 2019
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Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
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Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Ming Zhou
EMNLP 2019 | September 2019
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Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
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Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
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Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang, Linjun Shou (寿林钧), Ming Gong (YIMING), Wutao Lin, Daxin Jiang (姜大昕)
WSDM 2020 | February 2019
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Helping Pull Request Reviewer Recommendation Systems to Focus
Nikola Pejic, Zaharije Radivojević, Miloš Cvetanović
IEEE Access | July 2023
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Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
VLDB | September 2022, 第 15 卷(12): pp. 3598-3601
Best demo award
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Between a rock and a hard place: Negotiating Dependencies and Precarity in the On-Demand Economy
Srihari Hulikal Muralidhar, Claus Bossen, Jacki O'Neill
Journal of Computer-Supported Cooperative Work | July 2022, 第 31 卷(3): pp. 443-486
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Walk a Mile in Their Shoes: The Covid pandemic through the lens of four tech workers
Jenna Butler, Catherine Yeh
ACM Queue | May 2022, 第 20 卷(2)
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SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, 第 27 卷(4)
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ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Aaron L Halfaker, R. Stuart Geiger
Proceedings of the ACM on Human-Computer Interaction | October 2020, 第 4 卷(CSCW2): pp. 1-37
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Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
Transactions of the Association for Computational Linguistics | April 2019, 第 7 卷: pp. 107-120
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Procedural Humans for Computer Vision
Charlie Hewitt, Tadas Baltrusaitis, Erroll Wood, Lohit Petikam, Louis Florentin, Hanz Cuevas Velasquez
MSR-TR-2023-3 | January 2023
作者：Microsoft
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
作者：Microsoft
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