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Yongfeng Zhang

Assistant Professor
Email: 
Office: 
CBIM 20
Office Hours: 

Fridays 2:00pm-4:00pm

Research Area: 
Machine Learning and Data Mining
Recommendation Systems
Information Retrieval
Internet Economics
Address: 

Department of Computer Science
Rutgers The State University of New Jersey
110 Frelinghuysen Road
Piscataway, NJ 08854-8019

Biography: 

My research area is in Information Retrieval, Recommendation Systems, Internet Economics, as well as Machine Learning and Data Mining ApplicationsWithin the above areas, our recent research focuses on the intersection of Economic theories, Recommendation and Search Systems, and Natural Language Processing, including 1) Internet Economics – the application and analysis of economic theories in web-based applications such as recommendation, search, and sharing economy; 2) Explainable Decision Making Systems – developing explainable machine learning theories and algorithms for decision making systems such as recommendation and search; 3) Conversational Search, Recommendation, and QA systems. My group is also broadly interested in "Personalized X", including Personalized Recommendation, Search, NLP, Education, Healthcare, Chatbots, etc.

In the previous I was a postdoc in the Center for Intelligent Information Retrieval (CIIR) at UMass Amherst, and did my PhD and BE in Computer Science at Tsinghua University, with a BS in Economics at Peking Univeristy. I am a Siebel Scholar of the class 2015, and a Baidu Scholar of the class 2014.

Awards & Distinctions: 
2018 Best Professor Award by CSGSS for Teaching and Mentoring (together with Prof. Gerard de Melo)
2017 Asia Information Retrieval Societies (AIRS) Best Paper Award
2017 CAAI Best PhD Dissertation Award
2016 Excellent PhD Dissertation of Tsinghua Univeristy
2015 Microsoft PhD Fellowship
2014 Siebel Scholar
2014 Baidu Scholar
2014-2015 IBM International PhD Fellowship
2012 Google Scholarship
Personal News: 

2018-03 We are organizing the 1st International Workshop on ExplainAble Recommendation and Search (EARS 2018) on July 12, to be co-located with SIGIR 2018 at Ann Arbor Michigan. For information and call for papers, please visit https://ears2018.github.io.