I am a researcher at the Data Management, Exploration and Mining (DMX) group at Microsoft Research. I am currently working on data cleaning and data exploration problems.
I did my PhD at University of Wisconsin-Madison, where I was a member of the Database Group. Prior to that, I worked at Oracle on data warehousing performance.
- Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, and Yeye He, Mining Acronym Expansions and Their Meanings Using Query Click Log, WWW Conference 2013, May 2013
- Di Wang, Yeye He, Elke Rundensteiner, and Jeffrey Naughton, Utility-Maximizing Event Stream Suppression, in Proceedings of International Conference on Management of Data (SIGMOD), 2013
- Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman, and Nirav Shah, Crawling Deep-web Entity Pages, in Proceedings of International Conference on Web Search and Data Mining (WSDM), 2013
- Yeye He, Siddharth Barman, and Jeffrey Naughton, Preventing Equivalence Attacks in Updated, Anonymized Data, in Proceedings of International Conference on Data Engineering (ICDE), 2011
- Yeye He and Dong Xin, SEISA: Set Expansion by Iterative Similarity Aggregation, in Proceedings of International World Wide Web Conference (WWW), 2011
- Yeye He, Siddharth Barman, Di Wang, and Jeffery Naughton, On the Complexity of Privacy-Preserving Complex Event Processing, in Proceedings of the Principles of Database Systems (PODS), 2011
- Venkatesh Ganti, Yeye He, and Dong Xin, Keyword++: A Framework to Improve Keyword Search Over Entity Databases, in Proceedings of International Conference on Very Large Databases (VLDB), 2010
- Yeye He and Jeffrey Naughton, Anonymization of Set Valued Data via Top Down, Local Generalization, in Proceedings of International Conference on Very Large Database (VLDB), 2009