| 2026 | AAAI | 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 |
| 2025 | ACL | TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models. | Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Zejian Yuan, Dongmei Zhang |
| 2025 | EMNLP | Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning. | Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri |
| 2024 | EMNLP | Encoding Spreadsheets for Large Language Models. | Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, Jos Cambronero, Yeye He, Shi Han, Dongmei Zhang |
| 2023 | KDD | 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 |
| 2021 | SIGMOD | Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. | Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri |
| 2021 | SIGMOD | Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. | Jie Song, Yeye He |
| 2020 | SIGMOD | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks. | Cong Yan, Yeye He |
| 2019 | WWW | Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning. | Chen Zhao, Yeye He |
| 2019 | SIGMOD | Uni-Detect: A Unified Approach to Automated Error Detection in Tables. | Pei Wang, Yeye He |
| 2018 | SIGMOD | Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. | Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng |
| 2018 | SIGMOD | Auto-Detect: Data-Driven Error Detection in Tables. | Zhipeng Huang, Yeye He |
| 2018 | SIGMOD | Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code. | Cong Yan, Yeye He |
| 2017 | KDD | Discovering Enterprise Concepts Using Spreadsheet Tables. | Keqian Li, Yeye He, Kris Ganjam |
| 2017 | SIGMOD | Synthesizing Mapping Relationships Using Table Corpus. | Yue Wang, Yeye He |
| 2016 | WWW | Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora. | Yeye He, Kaushik Chakrabarti, Tao Cheng, Tomasz Tylenda |
| 2015 | WWW | Concept Expansion Using Web Tables. | Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Philip A. Bernstein |
| 2015 | SIGMOD | TEGRA: Table Extraction by Global Record Alignment. | Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam |
| 2014 | ICDT | On Load Shedding in Complex Event Processing. | Yeye He, Siddharth Barman, Jeffrey F. Naughton |
| 2013 | WWW | Mining acronym expansions and their meanings using query click log. | Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He |
| 2013 | SIGMOD | Utility-maximizing event stream suppression. | Di Wang, Yeye He, Elke A. Rundensteiner, Jeffrey F. Naughton |
| 2013 | WSDM | Crawling deep web entity pages. | Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman, Nirav Shah |
| 2011 | ICDE | Preventing equivalence attacks in updated, anonymized data. | Yeye He, Siddharth Barman, Jeffrey F. Naughton |
| 2011 | PODS | On the complexity of privacy-preserving complex event processing. | Yeye He, Siddharth Barman, Di Wang, Jeffrey F. Naughton |
| 2011 | WWW | SEISA: set expansion by iterative similarity aggregation. | Yeye He, Dong Xin |