Ivor Tsang

University of Technology Sydney

Names

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

Ivor Tsang (Preferred)
,
Ivor W Tsang
,
Ivor W. Tsang
,
Ivor Wai-Hung Tsang

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.

****@gmail.com
,
****@uts.edu.au
,
****@ntu.edu.sg
,
****@ihpc.a-star.edu.sg

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.

Full Professor
University of Technology Sydney (uts.edu.au)
2014Present
 
Professor
Nanyang Technological University (ntu.edu.sg)
20082014
 

Advisors, Relations & Conflicts

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

PhD Advisee
Bo Han
****@comp.hkbu.edu.hk
20152019
 
PhD Advisee
Mingkui Tan
****@gmail.com
20112016
 
Coauthor
Dong Xu
****@sydney.edu.au
20112015
 
Coauthor
Nicu Sebe
****@disi.unitn.it
20112014
 
Coauthor
Yan Yan
****@disi.unitn.it
20112014
 
Coauthor
Alexander Hauptmann
****@cs.cmu.edu
20112014
 
Coauthor
Yan Yan
****@xmu.edu.cn
20112014
 
Coauthor
Zhi-hua Zhou
****@nju.edu.cn
20112014
 
Coauthor
Yi Ma
****@microsoft.com
20112014
 
Coauthor
Jiebo Luo
****@gmail.com
20112014
 
Coauthor
Li Wang
****@med.unc.edu
20112014
 
Coauthor
Yu-feng Li
****@lamda.nju.edu.cn
20112014
 
Coauthor
Yan Tong
****@cse.sc.edu
20112014
 
Coauthor
Li Wang
****@ad.unc.edu
20112014
 
Coauthor
Yan Tong
****@cec.sc.edu
20112014
 
Coauthor
Zinan Zeng
****@adsc.com.sg
20112014
 
Coauthor
Shizhong Han
****@email.sc.edu
20112014
 
Coauthor
Zhigang Ma
****@cs.cmu.edu
20112014
 
Coauthor
Yi Yang
****@baidu.com
20112014
 
Coauthor
James Kwok
****@cse.ust.hk
20112014
 
Coauthor
Ping Liu
****@email.sc.edu
20112014
 
Coauthor
Zhongwen Xu
****@uq.edu.au
20112014
 
Coauthor
Feiping Nie
****@gmail.com
20112014
 
Coauthor
Yi Yang
****@uts.edu.au
20112014
 
Coauthor
Steven Hoi
****@smu.edu.sg
20112014
 
Coauthor
Yi Ma
****@illinois.edu
20112014
 
Coauthor
Weisi Lin
****@ntu.edu.sg
20112014
 
Coauthor
Yi Yang
****@uci.edu
20112014
 
Coauthor
Feiping Nie
****@uta.edu
20112014
 
Coauthor
Yi Ma
****@shanghaitech.edu.cn
20112014
 
Coauthor
Xuelong Li
****@opt.ac.cn
20112014
 
Coauthor
Li Wang
****@e.ntu.edu.sg
20112014
 
Coauthor
Changshui Zhang
****@mail.tsinghua.edu.cn
20112014
 
Coauthor
Nicu Sebe
****@gmail.com
20112014
 
Coauthor
Lin Chen
****@ntu.edu.sg
20112014
 
Coauthor
Xuelong Li
****@ieee.org
20112014
 
Coauthor
Li Wang
****@ntu.edu.sg
20112014
 
Coauthor
Zhigang Ma
****@disi.unitn.it
20112014
 
Coauthor
Dong Xu
****@ntu.edu.sg
20112014
 
Coauthor
Yi Yang
****@ics.uci.edu
20112014
 
Coauthor
Yi Yang
****@cs.cmu.edu
20112014
 
Coauthor
Zibo Meng
****@email.sc.edu
20112014
 
Coauthor
Yi Yang
****@uq.edu.au
20112014
 
PhD Advisee
Wen Li
****@e.ntu.edu.sg
20112014
 
PhD Advisee
Shenghua Gao
****@adsc.com.sg
20112014
 
PhD Advisee
Wen Li
****@cse.tamu.edu
20112014
 
PhD Advisee
Lin Chen
****@asu.edu
20112014
 
PhD Advisee
Joey tianyi Zhou
****@ntu.edu.sg
20112014
 
PhD Advisee
Mingkui Tan
****@adelaide.edu.au
20112014
 
Coauthor
Liang-tien Chia
****@ntu.edu.sg
20102014
 
Coauthor
Jiebo Luo
****@cs.rochester.edu
20092014
 
PhD Advisee
Lixin Duan
****@gmail.com
20092014
 
PhD Advisee
Lixin Duan
****@i2r.a-star.edu.sg
20092014
 
Coauthor
Yiming Liu
****@cs.princeton.edu
20092011
 
Coauthor
Yiming Liu
****@cs.princeton.edu
20092010
 
Coauthor
Tat-seng Chua
****@comp.nus.edu.sg
20092009
 
PhD Advisor
James Kwok
****@cse.ust.hk
20012007
 

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

Transfer Learning
Present
 
Learning from Noisy Supervision
Present
 
Deep Generative Models
Present
 
Kernel methods
Present
 
Large-scale optimization
Present
 
Reinforcement learning
Present
 
Multi-label prediction
Present