I am an Applied Scientist at Amazon, working in the Product Graph team on Information Extraction, Text Mining, and Product Categorization/Taxonomy Enrichments with special focuses on a Low Resource, Open-World setting. I finished my PhD at University of Illinois at Chicago, advised by Philip S. Yu. My research interests lie in the fields of data mining and natural language processing. In particular, I am interested in text mining and mining structured information from heterogeneous information sources.
• Natural Language Processing
• Text/Graph Mining
• Knowledge Graph
[2021/08] Three papers (2xRelation Extraction, Conversational Search) are accepted by EMNLP 2021.
[2021/08] Accepted the invitation to serve on the Program Committee of AAAI 2022.
[2021/08] Accepted the invitation to serve on the Program Committee of WSDM 2022.
[2021/07] Slides for our KDD 2021 tutorial are available!
[2021/05] Our tutorial All You Need to Know to Build a Product Knowledge Graph is accepted at KDD 2021.
[2010/09 - 2014/05] B.Eng in Computer Science and Technology, Southwest University, China, 2014.
[2019/08 - Now ] Applied Scientist at Amazon, Seattle, WA
[2017/08 - 2019/05] Research Assistant at UIC Big Data and Social Computing Lab, Chicago, IL
[2018/05 - 2018/08] Research Intern at Tencent Medical AI Lab, Palo Alto, CA
[2017/05 - 2017/08] Research Intern at Baidu Research Big Data Lab, Sunnyvale, CA
[2016/05 - 2016/07] Research Intern at Baidu Research Big Data Lab, Sunnyvale, CA
[2015/05 - 2015/08] Research Intern at Baidu Research Big Data Lab, Sunnyvale, CA
Program Committee: ACL, EMNLP, NAACL, AAAI, WSDM, RecSys, CIKM, AACL
Reviewer: TKDE, TKDD, VLDB, NeuroComputing, TBD, KDD, WSDM, ICDM, PAKDD, ICWSM, ASONAM
Organzing Committee: KR2ML@NeurIPS 2020