Yu Cheng (Preferred)
Yu Cheng
Microsoft Research
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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.
****@microsoft.com
, ****@us.ibm.com
, ****@gmail.com
, ****@us.ibm.com
Personal Links
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Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Principal Researcher
Microsoft Research (microsoft.com)
2018 – Present
Research Staff Member
IBM T.J Watson Research Center (ibm.com)
2015 – 2018
PhD student
Northwestern University (northwestern.edu)
2010 – 2015
Undergrad student
Tsinghua University (tsinghua.edu.cn)
2006 – 2010
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Rogerio Feris
****@us.ibm.com
2011 – 2015
Coauthor
Shih-fu Chang
****@columbia.edu
2011 – 2014
Coauthor
Shih-fu Chang
****@cs.columbia.edu
2011 – 2014
Coauthor
Sharathchandra Pankanti
****@us.ibm.com
2011 – 2014
Coauthor
Quanfu Fan
****@us.ibm.com
2011 – 2014
Coauthor
Felix Yu
****@ee.columbia.edu
2011 – 2014
Coauthor
Fei Wang
****@us.ibm.com
2011 – 2014
Coauthor
Chen Jin
****@eecs.northwestern.edu
2011 – 2014
Coauthor
Sharath Pankanti
****@us.ibm.com
2011 – 2014
Coauthor
Sanjiv Kumar
****@google.com
2011 – 2014
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
Natural Language Processing
2017 – Present
Deep Learning
2014 – Present
Machine Learning
2010 – Present
Computer Vision
2010 – Present