Yeye He

74 papers A* 12A 2Journal 49Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs.
CoRR
Wei Zhou, Jun Zhou, Haoyu Wang, Zhenghao Li, Qikang He, Shaokun Han, Guoliang Li, Xuanhe Zhou, Yeye He, Chunwei Liu, Zirui Tang, Bin Wang, Shen Tang, Kai Zuo, Yuyu Luo, Zhenzhe Zheng, Conghui He, Jingren Zhou, Fan Wu
2026 A* conf
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search.
AAAI
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
2026 J jnl
MoDora: Tree-Based Semi-Structured Document Analysis System.
CoRR
Bangrui Xu, Qihang Yao, Zirui Tang, Xuanhe Zhou, Yeye He, Shihan Yu, Qianqian Xu, Bin Wang, Guoliang Li, Conghui He, Fan Wu
2026 J jnl
Nexus: Inferring Join Graphs from Metadata Alone via Iterative Low-Rank Matrix Completion.
CoRR
Tianji Cong, Yuanyuan Tian, Andreas Müller, Rathijit Sen, Yeye He, Fotis Psallidas, Shaleen Deep, H. V. Jagadish
2026 J jnl
Qute: Towards Quantum-Native Database.
CoRR
Muzhi Chen, Xuanhe Zhou, Wei Zhou, Bangrui Xu, Surui Tang, Guoliang Li, Bingsheng He, Yeye He, Yitong Song, Fan Wu
2026 J jnl
The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More.
CoRR
Lingjiao Chen, Chi Zhang, Yeye He, Ion Stoica, Matei Zaharia, James Zou
2025 J jnl
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence.
CoRR
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
2025 J jnl
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence.
Proc. VLDB Endow.
Eugenie Lai, Yeye He, Surajit Chaudhuri
2025 J jnl
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables.
CoRR
Qixu Chen, Yeye He, Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
2025 J jnl
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables.
Proc. ACM Manag. Data
Qixu Chen, Yeye He, Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
2025 J jnl
Auto-tables: synthesizing multi-step transformations to relationalize tables without using examples.
VLDB J.
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
2025 J jnl
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search.
CoRR
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
2025 J jnl
LLM/Agent-as-Data-Analyst: A Survey.
CoRR
Zirui Tang, Weizheng Wang, Zihang Zhou, Yang Jiao, Bangrui Xu, Boyu Niu, Xuanhe Zhou, Guoliang Li, Yeye He, Wei Zhou, Yitong Song, Cheng Tan, Bin Wang, Conghui He, Xiaoyang Wang, Fan Wu
2025 J jnl
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark.
CoRR
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
2025 A* conf
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning.
EMNLP
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
2025 — conf
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models.
ACL (1)
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Zejian Yuan, Dongmei Zhang
2025 J jnl
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models.
CoRR
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Zejian Yuan, Dongmei Zhang
2024 J jnl
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations.
CoRR
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
2024 J jnl
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations.
Proc. ACM Manag. Data
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
2024 J jnl
Auto-Tables: Relationalize Tables without Using Examples.
SIGMOD Rec.
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
2024 A* conf
Encoding Spreadsheets for Large Language Models.
EMNLP
Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
2024 J jnl
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models.
CoRR
Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
2024 J jnl
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks.
Proc. ACM Manag. Data
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
2024 J jnl
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning.
CoRR
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
2024 J jnl
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities.
CoRR
Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang
2023 J jnl
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph.
CoRR
Yiming Lin, Yeye He, Surajit Chaudhuri
2023 J jnl
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph.
Proc. VLDB Endow.
Yiming Lin, Yeye He, Surajit Chaudhuri
2023 J jnl
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples.
CoRR
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
2023 J jnl
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples.
Proc. VLDB Endow.
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
2023 A* conf
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines.
KDD
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
2023 J jnl
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines.
CoRR
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
2023 J jnl
Ground Truth Inference for Weakly Supervised Entity Matching.
Proc. ACM Manag. Data
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
2023 J jnl
Predicate Pushdown for Data Science Pipelines.
Proc. ACM Manag. Data
Cong Yan, Yin Lin, Yeye He
2023 J jnl
Table-GPT: Table-tuned GPT for Diverse Table Tasks.
CoRR
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
2022 J jnl
Ground Truth Inference for Weakly Supervised Entity Matching.
CoRR
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
2022 J jnl
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication.
Proc. VLDB Endow.
Yue Wang, Vivek R. Narasayya, Yeye He, Surajit Chaudhuri
2021 — conf
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.
SIGMOD Conference
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
2021 J jnl
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.
CoRR
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
2021 J jnl
Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search.
Proc. VLDB Endow.
Junwen Yang, Yeye He, Surajit Chaudhuri
2021 J jnl
Auto-Tag: Tagging-Data-By-Example in Data Lakes.
CoRR
Yeye He, Jie Song, Yue Wang, Surajit Chaudhuri, Vishal Anil, Blake Lassiter, Yaron Goland, Gaurav Malhotra
2021 — conf
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes.
SIGMOD Conference
Jie Song, Yeye He
2021 J jnl
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes.
CoRR
Jie Song, Yeye He
2021 J jnl
AutoPipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search.
CoRR
Junwen Yang, Yeye He, Surajit Chaudhuri
2021 J jnl
Demonstration of Panda: A Weakly Supervised Entity Matching System.
CoRR
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
2021 J jnl
Demonstration of Panda: A Weakly Supervised Entity Matching System.
Proc. VLDB Endow.
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
2020 — conf
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks.
SIGMOD Conference
Cong Yan, Yeye He
2020 J jnl
Auto-Transform: Learning-to-Transform by Patterns.
Proc. VLDB Endow.
Yeye He, Zhongjun Jin, Surajit Chaudhuri
2019 A* conf
Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning.
WWW
Chen Zhao, Yeye He
2019 — conf
Uni-Detect: A Unified Approach to Automated Error Detection in Tables.
SIGMOD Conference
Pei Wang, Yeye He
2018 — conf
Auto-Detect: Data-Driven Error Detection in Tables.
SIGMOD Conference
Zhipeng Huang, Yeye He
2018 — conf
Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code.
SIGMOD Conference
Cong Yan, Yeye He
2018 J jnl
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.
Proc. VLDB Endow.
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri
2018 — conf
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel.
SIGMOD Conference
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng
2017 J jnl
Auto-Join: Joining Tables by Leveraging Transformations.
Proc. VLDB Endow.
Erkang Zhu, Yeye He, Surajit Chaudhuri
2017 A* conf
Discovering Enterprise Concepts Using Spreadsheet Tables.
KDD
Keqian Li, Yeye He, Kris Ganjam
2017 — conf
Synthesizing Mapping Relationships Using Table Corpus.
SIGMOD Conference
Yue Wang, Yeye He
2017 J jnl
Synthesizing Mapping Relationships Using Table Corpus.
CoRR
Yue Wang, Yeye He
2016 A* conf
Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora.
WWW
Yeye He, Kaushik Chakrabarti, Tao Cheng, Tomasz Tylenda
2016 J jnl
Data services leveraging Bing's data assets.
IEEE Data Eng. Bull.
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
2015 J jnl
Annotating Database Schemas to Help Enterprise Search.
Proc. VLDB Endow.
Eli Cortez, Philip A. Bernstein, Yeye He, Lev Novik
2015 A* conf
Concept Expansion Using Web Tables.
WWW
Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Philip A. Bernstein
2015 J jnl
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora.
Proc. VLDB Endow.
Yeye He, Kris Ganjam, Xu Chu
2015 — conf
TEGRA: Table Extraction by Global Record Alignment.
SIGMOD Conference
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
2014 J jnl
ClusterJoin: A Similarity Joins Framework using Map-Reduce.
Proc. VLDB Endow.
Akash Das Sarma, Yeye He, Surajit Chaudhuri
2014 A conf
On Load Shedding in Complex Event Processing.
ICDT
Yeye He, Siddharth Barman, Jeffrey F. Naughton
2013 A conf
Crawling deep web entity pages.
WSDM
Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman, Nirav Shah
2013 A* conf
Mining acronym expansions and their meanings using query click log.
WWW
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He
2013 J jnl
On Load Shedding in Complex Event Processing.
CoRR
Yeye He, Siddharth Barman, Jeffrey F. Naughton
2013 — conf
Utility-maximizing event stream suppression.
SIGMOD Conference
Di Wang, Yeye He, Elke A. Rundensteiner, Jeffrey F. Naughton
2011 A* conf
On the complexity of privacy-preserving complex event processing.
PODS
Yeye He, Siddharth Barman, Di Wang, Jeffrey F. Naughton
2011 A* conf
Preventing equivalence attacks in updated, anonymized data.
ICDE
Yeye He, Siddharth Barman, Jeffrey F. Naughton
2011 A* conf
SEISA: set expansion by iterative similarity aggregation.
WWW
Yeye He, Dong Xin
2010 J jnl
Keyword++: A Framework to Improve Keyword Search Over Entity Databases.
Proc. VLDB Endow.
Dong Xin, Yeye He, Venkatesh Ganti
2009 J jnl
Anonymization of Set-Valued Data via Top-Down, Local Generalization.
Proc. VLDB Endow.
Yeye He, Jeffrey F. Naughton