MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
Yeye He
Senior Principal Researcher
出版物
-
-
-
Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
-
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
-
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
-
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
-
-
-
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
-
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
-
-
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
-
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
-
Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
SIGMOD 2023 | June 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-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
-
-
-
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: 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
-
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
-
-
-
Discovering Enterprise Concepts Using Spreadsheet Tables
Keqian Li, Yeye He, Kris Ganjam
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
-
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
Yue Wang, Yeye He
International Conference on Management of Data (SIGMOD) | May 2017
-
-
-
Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 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
-
-
-
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
-
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
-
TEGRA: Table Extraction by Global Record Alignment
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
International Conference on Management of Data (SIGMOD) | May 2015
-
-
-
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)
-
On Load Shedding in Complex Event Processing
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Database Theory (ICDT) | March 2014
-
-
-
Mining Acronym Expansions and Their Meanings Using Query Click Log
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He
May 2013
-
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
-
Utility-Maximizing Event Stream Suppression
Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton
Proceedings of International Conference on Management of Data (SIGMOD) | January 2013
-
-
-
SEISA: Set Expansion by Iterative Similarity Aggregation
Yeye He, Dong Xin
Proceedings of International World Wide Web Conference (WWW) | April 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
-
-
-
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
-
-
-
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
-
-
-
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
-
Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
-
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
-
-
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
-
Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
-
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
-
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
-
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
-
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
-
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
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
-
Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
SIGMOD 2023 | June 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
-
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: 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
-
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
-
Discovering Enterprise Concepts Using Spreadsheet Tables
Keqian Li, Yeye He, Kris Ganjam
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
-
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
Yue Wang, Yeye He
International Conference on Management of Data (SIGMOD) | May 2017
-
Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 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
-
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
-
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
-
TEGRA: Table Extraction by Global Record Alignment
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
International Conference on Management of Data (SIGMOD) | May 2015
-
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)
-
On Load Shedding in Complex Event Processing
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Database Theory (ICDT) | March 2014
-
Utility-Maximizing Event Stream Suppression
Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton
Proceedings of International Conference on Management of Data (SIGMOD) | January 2013
-
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
-
SEISA: Set Expansion by Iterative Similarity Aggregation
Yeye He, Dong Xin
Proceedings of International World Wide Web Conference (WWW) | April 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
-
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
-
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
-
-
-
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
-
-
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
-
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
-
-
-
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
-
Mining Acronym Expansions and Their Meanings Using Query Click Log
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He
May 2013
-
-
-
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
-
Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
-
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
-
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
-
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
-
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
-
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
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
-
Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
SIGMOD 2023 | June 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
-
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: 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
-
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
-
Discovering Enterprise Concepts Using Spreadsheet Tables
Keqian Li, Yeye He, Kris Ganjam
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
-
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
Yue Wang, Yeye He
International Conference on Management of Data (SIGMOD) | May 2017
-
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
-
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
-
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
-
TEGRA: Table Extraction by Global Record Alignment
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
International Conference on Management of Data (SIGMOD) | May 2015
-
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)
-
On Load Shedding in Complex Event Processing
Yeye He, Siddharth Barman, Jeffrey Naughton
Proceedings of International Conference on Database Theory (ICDT) | March 2014
-
Mining Acronym Expansions and Their Meanings Using Query Click Log
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He
May 2013
-
Utility-Maximizing Event Stream Suppression
Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton
Proceedings of International Conference on Management of Data (SIGMOD) | January 2013
-
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
-
SEISA: Set Expansion by Iterative Similarity Aggregation
Yeye He, Dong Xin
Proceedings of International World Wide Web Conference (WWW) | April 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
-
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
-
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
-
-
-
Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 2016
-