Xiang Yu

Amazon

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Xiang Yu

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.

****@nec-labs.com
,
****@cs.rutgers.edu
,
****@gmail.com

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.

Researcher
Amazon (amazon.com)
2022Present
 
Researcher
NEC (nec.com)
20152022
 
PhD student
Rutgers University (rutgers.edu)
20102015
 
MS student
Tsinghua University (tsinghua.edu.cn)
20072010
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Mohamed Omar
****@amazon.com
2022Present
 
Coauthor
Manmohan Chandraker
****@nec-labs.com
20152022
 
Coauthor
Gregory d. Hager
****@cs.jhu.edu
20162016
 
Coauthor
Jianchao Yang
****@gmail.com
20152016
 
Coauthor
Yang Yu
****@lamda.nju.edu.cn
20112016
 
Coauthor
Junzhou Huang
****@uta.edu
20112016
 
Coauthor
Dimitris Metaxas
****@cs.rutgers.edu
20112016
 
Coauthor
Yang Yu
****@gmail.com
20112016
 
Coauthor
Shaoting Zhang
****@cs.rutgers.edu
20112016
 
Coauthor
Shaoting Zhang
****@uncc.edu
20112016
 
PhD Advisor
Dimitris N. Metaxas
****@cs.rutgers.edu
20102015
 
Coauthor
Fei Yang
****@fb.com
20112014
 
Coauthor
Bo Liu
****@126.com
20112014
 
Coauthor
Carol Neidle
****@mac.com
20112014
 
Coauthor
Jingjing Liu
****@cs.rutgers.edu
20112014
 
Coauthor
Carol Neidle
****@bu.edu
20112014
 
Coauthor
Bo Liu
****@gmail.com
20112014
 
Coauthor
Xinyi Cui
****@cs.rutgers.edu
20122012
 

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

face recognition, metric learning, domain adaptation
2015Present