Shu Kong

Carnegie Mellon University

Names

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

Shu Kong (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.

****@ics.uci.edu
,
****@ust.hk
,
****@andrew.cmu.edu
,
****@gmail.com
,
****@tamu.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.

Postdoc Fellow
Carnegie Mellon University (cmu.edu)
2020Present
 
PhD student
University of California, Irvine (uci.edu)
20142019
 
MS student
Zhejiang University (zju.edu.cn)
20102013
 

Advisors, Relations & Conflicts

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

Postdoc Advisor
Deva Ramanan
****@andrew.cmu.edu
2020Present
 
PhD Advisor
Charless Fowlkes
****@ics.uci.edu
20142019
 
Advisor
Charless Fowlkes
****@ics.uci.edu
20142019
 
Coauthor
Zhe Lin
****@adobe.com
20152017
 
Coauthor
Radomir Mech
****@adobe.com
20152017
 
Coauthor
Xiaohui Shen
****@adobe.com
20152017
 
Coauthor
Zhuolin Jiang
****@bbn.com
20112016
 
Coauthor
Xikui Wang
****@uci.edu
20112016
 
Coauthor
Donghui Wang
****@zju.edu.cn
20112016
 
Coauthor
Qiang Yang
****@huawei.com
20112016
 
Coauthor
Fei Wu
****@cs.zju.edu.cn
20112016
 
Coauthor
Fei Wu
****@163.com
20112016
 
Coauthor
Fei Wu
****@zju.edu.cn
20112016
 
Coauthor
Zhuolin Jiang
****@huawei.com
20112016
 
Coauthor
Donghui Wang
****@zju.edu.cn
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

open set, open world recognition
2020Present
 
self-supervised learning
20182019
 
semantic segmentation, instance segmentation, depth estimation, surface normal estimation
20162018
 
fine-grained classification, bilinear pooling
20142016