Chenwei Zhang

Chenwei Zhang

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.

Contact: cwzhang910 AT gmail D0T com
Google Scholar | ResearchGate | LinkedIn

 

Research Topics:

• Natural Language Processing

• Text/Graph Mining

• Knowledge Graph

  What’s New

[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.

See all

  Education

[2014/08 - 2019/05] Ph.D. in Computer Science, University of Illinois at Chicago, 2019. Advisor: Prof. Philip S. Yu

[2010/09 - 2014/05] B.Eng in Computer Science and Technology, Southwest University, China, 2014.

   Work Experiences

[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

   Professional Services

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