Wei Liu

Tencent

Names

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Wei Liu

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@columbia.edu
,
****@ee.columbia.edu
,
****@gmail.com

Personal Links

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Education & Career History

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Distinguished Scientist
Tencent (tencent.com)
2016 – 2023
 
Principal Researcher
Didi Chuxing Technology Co. (didiglobal.com)
2015 – 2016
 
Researcher
IBM Research (ibm.com)
2012 – 2015
 
Postdoc
IBM Research (ibm.com)
2012 – 2013
 
PhD student
Columbia University (columbia.edu)
2007 – 2012
 

Advisors, Relations & Conflicts

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Coauthor
Junchi Yan
****@163.com
2014 – Present
 
Coworker
Dong Yu
****@ieee.org
2017 – 2019
 
Coauthor
Xinbo Gao
****@mail.xidian.edu.cn
2016 – 2017
 
Coauthor
Yu-gang Jiang
****@fudan.edu.cn
2016 – 2016
 
Coauthor
Yadong Mu
****@gmail.com
2016 – 2016
 
Coauthor
Deng Cai
****@gmail.com
2011 – 2014
 
Coauthor
Jiebo Luo
****@gmail.com
2011 – 2014
 
Coauthor
Dacheng Tao
****@gmail.com
2011 – 2014
 
Coauthor
Shuicheng Yan
****@nus.edu.sg
2011 – 2014
 
Coauthor
Junchi Yan
****@sjtu.edu.cn
2011 – 2014
 
Coauthor
Jiebo Luo
****@cs.rochester.edu
2011 – 2014
 
Coauthor
Fumin Shen
****@gmail.com
2011 – 2014
 
Coauthor
Xinbo Gao
****@163.com
2011 – 2014
 
Coauthor
Cheng Deng
****@gmail.com
2011 – 2014
 
Coauthor
Xiaoou Tang
****@ie.cuhk.edu.hk
2011 – 2014
 
Coauthor
Xiaofei He
****@cad.zju.edu.cn
2011 – 2014
 
Coauthor
Sanjiv Kumar
****@google.com
2011 – 2014
 
Coauthor
Junzhou Huang
****@uta.edu
2011 – 2014
 
Coauthor
Wei Zhang
****@sdu.edu.cn
2011 – 2014
 
Coworker
Gang Hua
****@gmail.com
2011 – 2014
 
PhD Advisor
Shih-fu Chang
****@columbia.edu
2011 – 2014
 
Coworker
Zhengyou Zhang
****@microsoft.com
2011 – 2014
 
PhD Advisor
Shih-Fu Chang
****@ee.columbia.edu
2007 – 2012
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Deep Learning
2012 – 2023
 
Information Retrieval
2004 – 2023
 
Big Data
2004 – 2023
 
Machine Learning
2001 – 2023
 
Computer Vision
2001 – 2023
 
Pattern Recognition
2001 – 2023