Anonymization of Set-Valued Data via Top-Down, Local Generalization. - Yeye He; Jeffrey F. Naughton (Proc. VLDB Endow., 2009)

Keyword++: A Framework to Improve Keyword Search Over Entity Databases. - Dong Xin; Yeye He; Venkatesh Ganti (Proc. VLDB Endow., 2010)

Preventing equivalence attacks in updated, anonymized data. - Yeye He; Siddharth Barman; Jeffrey F. Naughton (ICDE, 2011)

On the complexity of privacy-preserving complex event processing. - Yeye He; Siddharth Barman; Di Wang 031; Jeffrey F. Naughton (PODS, 2011)

SEISA: set expansion by iterative similarity aggregation. - Yeye He; Dong Xin (WWW, 2011)

Utility-maximizing event stream suppression. - Di Wang 031; Yeye He; Elke A. Rundensteiner; Jeffrey F. Naughton (SIGMOD Conference, 2013)

Crawling deep web entity pages. - Yeye He; Dong Xin; Venkatesh Ganti; Sriram Rajaraman; Nirav Shah (WSDM, 2013)

Mining acronym expansions and their meanings using query click log. - Bilyana Taneva; Tao Cheng; Kaushik Chakrabarti; Yeye He (WWW, 2013)

On Load Shedding in Complex Event Processing. - Yeye He; Siddharth Barman; Jeffrey F. Naughton (ICDT, 2014)

ClusterJoin: A Similarity Joins Framework using Map-Reduce. - Akash Das Sarma; Yeye He; Surajit Chaudhuri (Proc. VLDB Endow., 2014)

TEGRA: Table Extraction by Global Record Alignment. - Xu Chu 002; Yeye He; Kaushik Chakrabarti; Kris Ganjam (SIGMOD Conference, 2015)

Concept Expansion Using Web Tables. - Chi Wang 001; Kaushik Chakrabarti; Yeye He; Kris Ganjam; Zhimin Chen; Philip A. Bernstein (WWW, 2015)

Annotating Database Schemas to Help Enterprise Search. - Eli Cortez; Philip A. Bernstein; Yeye He; Lev Novik (Proc. VLDB Endow., 2015)

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora. - Yeye He; Kris Ganjam; Xu Chu 002 (Proc. VLDB Endow., 2015)

Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora. - Yeye He; Kaushik Chakrabarti; Tao Cheng; Tomasz Tylenda (WWW, 2016)

Data services leveraging Bing's data assets. - Kaushik Chakrabarti; Surajit Chaudhuri; Zhimin Chen; Kris Ganjam; Yeye He (IEEE Data Eng. Bull., 2016)

Discovering Enterprise Concepts Using Spreadsheet Tables. - Keqian Li; Yeye He; Kris Ganjam (KDD, 2017)

Synthesizing Mapping Relationships Using Table Corpus. - Yue Wang 070; Yeye He (SIGMOD Conference, 2017)

Synthesizing Mapping Relationships Using Table Corpus. - Yue Wang; Yeye He (CoRR, 2017)

Auto-Join: Joining Tables by Leveraging Transformations. - Erkang Zhu; Yeye He; Surajit Chaudhuri (Proc. VLDB Endow., 2017)

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. - Yeye He; Kris Ganjam; Kukjin Lee; Yue Wang 070; Vivek R. Narasayya; Surajit Chaudhuri; Xu Chu 002; Yudian Zheng (SIGMOD Conference, 2018)

Auto-Detect: Data-Driven Error Detection in Tables. - Zhipeng Huang 001; Yeye He (SIGMOD Conference, 2018)

Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code. - Cong Yan; Yeye He (SIGMOD Conference, 2018)

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. - Yeye He; Xu Chu 002; Kris Ganjam; Yudian Zheng; Vivek R. Narasayya; Surajit Chaudhuri (Proc. VLDB Endow., 2018)

Uni-Detect: A Unified Approach to Automated Error Detection in Tables. - Pei Wang; Yeye He (SIGMOD Conference, 2019)

Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning. - Chen Zhao 009; Yeye He (WWW, 2019)

Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks. - Cong Yan; Yeye He (SIGMOD Conference, 2020)

Auto-Transform: Learning-to-Transform by Patterns. - Yeye He; Zhongjun Jin; Surajit Chaudhuri (Proc. VLDB Endow., 2020)

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. - Peng Li 062; Xiang Cheng; Xu Chu 002; Yeye He; Surajit Chaudhuri (SIGMOD Conference, 2021)

Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. - Jie Song 013; Yeye He (SIGMOD Conference, 2021)

AutoPipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. - Junwen Yang; Yeye He; Surajit Chaudhuri (CoRR, 2021)

Auto-Tag: Tagging-Data-By-Example in Data Lakes. - Yeye He; Jie Song 013; Yue Wang 070; Surajit Chaudhuri; Vishal Anil; Blake Lassiter; Yaron Goland; Gaurav Malhotra (CoRR, 2021)

Demonstration of Panda: A Weakly Supervised Entity Matching System. - Renzhi Wu; Prem Sakala; Peng Li 062; Xu Chu 002; Yeye He (Proc. VLDB Endow., 2021)

Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. - Junwen Yang; Yeye He; Surajit Chaudhuri (Proc. VLDB Endow., 2021)

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication. - Yue Wang 070; Vivek R. Narasayya; Yeye He; Surajit Chaudhuri (Proc. VLDB Endow., 2022)

Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. - Dezhan Tu; Yeye He; Weiwei Cui 001; Song Ge; Haidong Zhang; Shi Han; Dongmei Zhang 001; Surajit Chaudhuri (KDD, 2023)

Table-GPT: Table-tuned GPT for Diverse Table Tasks. - Peng Li 062; Yeye He; Dror Yashar; Weiwei Cui 001; Song Ge; Haidong Zhang; Danielle Rifinski Fainman; Dongmei Zhang 001; Surajit Chaudhuri (CoRR, 2023)

Ground Truth Inference for Weakly Supervised Entity Matching. - Renzhi Wu; Alexander Bendeck; Xu Chu 002; Yeye He (Proc. ACM Manag. Data, 2023)

Predicate Pushdown for Data Science Pipelines. - Cong Yan; Yin Lin; Yeye He (Proc. ACM Manag. Data, 2023)

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. - Peng Li 062; Yeye He; Cong Yan; Yue Wang 070; Surajit Chaudhuri (Proc. VLDB Endow., 2023)

Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. - Yiming Lin 002; Yeye He; Surajit Chaudhuri (Proc. VLDB Endow., 2023)

Encoding Spreadsheets for Large Language Models. - Haoyu Dong 001; Jianbo Zhao; Yuzhang Tian; Junyu Xiong; Mengyu Zhou; Yun Lin; José Cambronero; Yeye He; Shi Han; Dongmei Zhang 001 (EMNLP, 2024)

Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities. - Shiyu Xia; Junyu Xiong; Haoyu Dong 001; Jianbo Zhao; Yuzhang Tian; Mengyu Zhou; Yeye He; Shi Han; Dongmei Zhang 001 (CoRR, 2024)

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. - Yuzhang Tian; Jianbo Zhao; Haoyu Dong 001; Junyu Xiong; Shiyu Xia; Mengyu Zhou; Yun Lin; José Cambronero; Yeye He; Shi Han; Dongmei Zhang 001 (CoRR, 2024)

Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning. - Junjie Xing; Yeye He; Mengyu Zhou; Haoyu Dong 001; Shi Han; Dongmei Zhang 001; Surajit Chaudhuri (CoRR, 2024)

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. - Sibei Chen; Yeye He; Weiwei Cui 001; Ju Fan; Song Ge; Haidong Zhang; Dongmei Zhang 001; Surajit Chaudhuri (Proc. ACM Manag. Data, 2024)

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks. - Peng Li 062; Yeye He; Dror Yashar; Weiwei Cui 001; Song Ge; Haidong Zhang; Danielle Rifinski Fainman; Dongmei Zhang 001; Surajit Chaudhuri (Proc. ACM Manag. Data, 2024)

Auto-Tables: Relationalize Tables without Using Examples. - Peng Li 062; Yeye He; Cong Yan; Yue Wang 070; Surajit Chaudhuri (SIGMOD Rec., 2024)

TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models. - Xinyi He; Yihao Liu; Mengyu Zhou; Yeye He; Haoyu Dong 001; Shi Han; Zejian Yuan; Dongmei Zhang 001 (ACL (1), 2025)

Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence. - Eugenie Lai; Yeye He; Surajit Chaudhuri (Proc. VLDB Endow., 2025)

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark. - Junjie Xing; Yeye He; Mengyu Zhou; Haoyu Dong 001; Shi Han; Lingjiao Chen; Dongmei Zhang 001; Surajit Chaudhuri; H. V. Jagadish (CoRR, 2025)

Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables. - Qixu Chen; Yeye He; Raymond Chi-Wing Wong; Weiwei Cui 001; Song Ge; Haidong Zhang; Dongmei Zhang 001; Surajit Chaudhuri (Proc. ACM Manag. Data, 2025)