Yeye He

According to our database, Yeye He authored at least 47 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Auto-Tables: Relationalize Tables without Using Examples.

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

SIGMOD Rec., March, 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

Proc. ACM Manag. Data, 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

Proc. ACM Manag. Data, 2024

Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning.

Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri

CoRR, 2024

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models.

Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang

CoRR, 2024

Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities.

Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang

CoRR, 2024

Encoding Spreadsheets for Large Language Models.

Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph.

Yiming Lin, Yeye He, Surajit Chaudhuri

Proc. VLDB Endow., 2023

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples.

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

Proc. VLDB Endow., 2023

Predicate Pushdown for Data Science Pipelines.

Cong Yan, Yin Lin, Yeye He

Proc. ACM Manag. Data, 2023

Ground Truth Inference for Weakly Supervised Entity Matching.

Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He

Proc. ACM Manag. Data, 2023

Table-GPT: Table-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

CoRR, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication.

Yue Wang, Vivek R. Narasayya, Yeye He, Surajit Chaudhuri

Proc. VLDB Endow., 2022

2021

Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search.

Junwen Yang, Yeye He, Surajit Chaudhuri

Proc. VLDB Endow., 2021

Demonstration of Panda: A Weakly Supervised Entity Matching System.

Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He

Proc. VLDB Endow., 2021

Auto-Tag: Tagging-Data-By-Example in Data Lakes.

Yeye He, Jie Song, Yue Wang, Surajit Chaudhuri, Vishal Anil, Blake Lassiter, Yaron Goland, Gaurav Malhotra

CoRR, 2021

AutoPipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search.

Junwen Yang, Yeye He, Surajit Chaudhuri

CoRR, 2021

Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes.

Jie Song, Yeye He

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.

Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Auto-Transform: Learning-to-Transform by Patterns.

Yeye He, Zhongjun Jin, Surajit Chaudhuri

Proc. VLDB Endow., 2020

Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks.

Cong Yan, Yeye He

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning.

Chen Zhao, Yeye He

Proceedings of the World Wide Web Conference, 2019

Uni-Detect: A Unified Approach to Automated Error Detection in Tables.

Pei Wang, Yeye He

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2018

Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code.

Cong Yan, Yeye He

Proceedings of the 2018 International Conference on Management of Data, 2018

Auto-Detect: Data-Driven Error Detection in Tables.

Zhipeng Huang, Yeye He

Proceedings of the 2018 International Conference on Management of Data, 2018

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

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Auto-Join: Joining Tables by Leveraging Transformations.

Erkang Zhu, Yeye He, Surajit Chaudhuri

Proc. VLDB Endow., 2017

Synthesizing Mapping Relationships Using Table Corpus.

Yue Wang, Yeye He

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Discovering Enterprise Concepts Using Spreadsheet Tables.

Keqian Li, Yeye He, Kris Ganjam

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Data services leveraging Bing's data assets.

Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He

IEEE Data Eng. Bull., 2016

Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora.

Yeye He, Kaushik Chakrabarti, Tao Cheng, Tomasz Tylenda

Proceedings of the 25th International Conference on World Wide Web, 2016

2015

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora.

Yeye He, Kris Ganjam, Xu Chu

Proc. VLDB Endow., 2015

Annotating Database Schemas to Help Enterprise Search.

Eli Cortez, Philip A. Bernstein, Yeye He, Lev Novik

Proc. VLDB Endow., 2015

Concept Expansion Using Web Tables.

Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Philip A. Bernstein

Proceedings of the 24th International Conference on World Wide Web, 2015

TEGRA: Table Extraction by Global Record Alignment.

Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

ClusterJoin: A Similarity Joins Framework using Map-Reduce.

Akash Das Sarma, Yeye He, Surajit Chaudhuri

Proc. VLDB Endow., 2014

On Load Shedding in Complex Event Processing.

Yeye He, Siddharth Barman, Jeffrey F. Naughton

Proceedings of the Proc. 17th International Conference on Database Theory (ICDT), 2014

2013

Mining acronym expansions and their meanings using query click log.

Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He

Proceedings of the 22nd International World Wide Web Conference, 2013

Crawling deep web entity pages.

Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman, Nirav Shah

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Utility-maximizing event stream suppression.

Di Wang, Yeye He, Elke A. Rundensteiner, Jeffrey F. Naughton

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2011

SEISA: set expansion by iterative similarity aggregation.

Yeye He, Dong Xin

Proceedings of the 20th International Conference on World Wide Web, 2011

On the complexity of privacy-preserving complex event processing.

Yeye He, Siddharth Barman, Di Wang, Jeffrey F. Naughton

Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011

Preventing equivalence attacks in updated, anonymized data.

Yeye He, Siddharth Barman, Jeffrey F. Naughton

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

Keyword++: A Framework to Improve Keyword Search Over Entity Databases.

Dong Xin, Yeye He, Venkatesh Ganti

Proc. VLDB Endow., 2010

2009

Anonymization of Set-Valued Data via Top-Down, Local Generalization.

Yeye He, Jeffrey F. Naughton

Proc. VLDB Endow., 2009