Shu Kong (Preferred)
Shu Kong
Texas A&M University - College Station
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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
Personal Links
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Education & Career History
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Assistant Professor
Texas A&M University - College Station (tamu.edu)
2022 – Present
Postdoc Fellow
Carnegie Mellon University (cmu.edu)
2020 – 2022
PhD student
University of California, Irvine (uci.edu)
2014 – 2019
MS student
Zhejiang University (zju.edu.cn)
2010 – 2013
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
2020 – Present
PhD Advisor
Charless Fowlkes
****@ics.uci.edu
2014 – 2019
Advisor
Charless Fowlkes
****@ics.uci.edu
2014 – 2019
Coauthor
Zhe Lin
****@adobe.com
2015 – 2017
Coauthor
Radomir Mech
****@adobe.com
2015 – 2017
Coauthor
Xiaohui Shen
****@adobe.com
2015 – 2017
Coauthor
Zhuolin Jiang
****@bbn.com
2011 – 2016
Coauthor
Xikui Wang
****@uci.edu
2011 – 2016
Coauthor
Donghui Wang
****@zju.edu.cn
2011 – 2016
Coauthor
Qiang Yang
****@huawei.com
2011 – 2016
Coauthor
Fei Wu
****@cs.zju.edu.cn
2011 – 2016
Coauthor
Fei Wu
****@163.com
2011 – 2016
Coauthor
Fei Wu
****@zju.edu.cn
2011 – 2016
Coauthor
Zhuolin Jiang
****@huawei.com
2011 – 2016
Coauthor
Donghui Wang
****@zju.edu.cn
2011 – 2014
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
2020 – Present
self-supervised learning
2018 – 2019
semantic segmentation, instance segmentation, depth estimation, surface normal estimation
2016 – 2018
fine-grained classification, bilinear pooling
2014 – 2016