Min Sun

National Tsing Hua University

Names

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

Min Sun (Preferred)

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.

****@ee.nthu.edu.tw
,
****@gmail.com
,
****@umich.edu
,
****@uw.edu

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.

Assistant Professor
National Tsing Hua University (nthu.edu.tw)
2018Present
 
Postdoc
University of Washington (washington.edu)
20132014
 
Postdoc
University of Washington, University of Washington (u.washington.edu)
20132014
 
PhD student
University of Michigan (umich.edu)
20092012
 

Advisors, Relations & Conflicts

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

Coauthor
Juan Carlos Niebles
****@gmail.com
2015Present
 
Advisee
Kuo-Hao Zeng
****@cs.stanford.edu
20142017
 
Coauthor
Ali Farhadi
****@cs.washington.edu
20112014
 
Coauthor
Silvio Savarese
****@stanford.edu
20112014
 
Coauthor
Pushmeet Kohli
****@microsoft.com
20112014
 
Coauthor
Jamie Shotton
****@microsoft.com
20112014
 
Coauthor
Jamie Shotton
****@microsoft.com
20112014
 
Coauthor
Jing Li
****@scu.edu.cn
20112014
 
Coauthor
Honglak Lee
****@eecs.umich.edu
20112014
 
Coauthor
Fei He
****@mails.tsinghua.edu.cn
20112014
 
Coauthor
Gary Bradski
****@gmail.com
20112014
 
Coauthor
Steve Seitz
****@cs.washington.edu
20112014
 

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
2013Present
 
computer vision
2009Present