Antoni B. Chan

City University of Hong Kong

Names

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Antoni B. Chan

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.

****@cityu.edu.hk
,
****@ucsd.edu

Education & Career History

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Full Professor
City University of Hong Kong (cityu.edu.hk)
2021Present
 
Associate Professor
City University of Hong Kong (cityu.edu.hk)
20152021
 
Assistant Professor
City University of Hong Kong (cityu.edu.hk)
20092015
 
Graduate Student
University of California, San Diego (ucsd.edu)
20042009
 

Advisors, Relations & Conflicts

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

Coauthor
Haiwei Pan
****@126.com
20152015
 
Advisee
Weichen Zhang
****@my.cityu.edu.hk
20112015
 
Advisee
Zheng Ma
****@cityu.edu.hk
20122014
 
Advisee
Ying Cao
****@my.cityu.edu.hk
20122014
 
Advisee
Sijin Li
****@my.cityu.edu.hk
20112014
 
Coauthor
Wenxi Liu
****@gmail.com
20112014
 
Coauthor
Vijay Mahadevan
****@yahoo-inc.com
20112014
 
Coauthor
Dinesh Manocha
****@cs.unc.edu
20112014
 
Advisor
Nuno Vasconcelos
****@ucsd.edu
20112014
 
Coauthor
Lifeng Shang
****@huawei.com
20112014
 
Coauthor
Gert Lanckriet
****@ece.ucsd.edu
20112014
 
Advisee
Adeel Mumtaz
****@gmail.com
20112014
 
Coauthor
Vijay Mahadevan
****@gmail.com
20112014
 
Advisor
Nuno Vasconcelos
****@ece.ucsd.edu
20112014
 
Advisee
Sijin Li
****@my.cityu.edu.hk
20112014
 
Coauthor
Yisong Chen
****@pku.edu.cn
20112014
 
Coauthor
Zhi-qiang Liu
****@cityu.edu.hk
20112014
 
Coauthor
Rynson Lau
****@cityu.edu.hk
20112014
 
Advisee
Emanuele Coviello
****@gmail.com
20112014
 
Coauthor
Yonaton Vaizman
****@eng.ucsd.edu
20122012
 
Coauthor
Guoping Wang
****@pku.edu.cn
20122012
 
Coauthor
Nuno Vasconcelos
****@ucsd.edu
20052012
 
Coauthor
Daxiang Dong
****@gmail.com
20112011
 
Coauthor
William Kostis
****@mgh.harvard.edu
20062006
 

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

Computer Vision
Present
 
Deep Learning
Present
 
Probabilistic Models
Present
 
Time Series Models
Present