Shanghang Zhang (Preferred)
Shanghang Zhang
Peking University
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.
****@gmail.com
, ****@andrew.cmu.edu
, ****@petuum.com
, ****@eecs.berkeley.edu
, ****@pku.edu.cn
Personal Links
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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
Peking University (pku.edu.cn)
2022 – 2030
Postdoc Research Fellow
University of California Berkeley (berkeley.edu)
2020 – 2022
Researcher
Petuum Inc. (petuum.com)
2018 – 2020
PhD student
Carnegie Mellon University (cmu.edu)
2013 – 2018
PhD student
University of Lisbon (ist.utl.pt)
2013 – 2018
Intern
Adobe Systems (adobe.com)
2017 – 2017
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coworker
Jian Du
****@andrew.cmu.edu
2016 – Present
Coworker
Guanhang
****@andrew.cmu.edu
2015 – Present
Coworker
Guanhang Wu
****@andrew.cmu.edu
2015 – Present
Coworker
Soummya Kar
****@andrew.cmu.edu
2010 – Present
PhD Advisor
Jose M. F. Moura
****@andrew.cmu.edu
1995 – Present
Coauthor
Congzheng Song
****@cornell.edu
2019 – 2020
Coauthor
Najmeh Sadoughi
****@petuum.com
2019 – 2020
Coauthor
Pengtao Xie
****@petuum.com
2019 – 2020
Coauthor
Eric Xing
****@petuum.com
2019 – 2020
Coauthor
Xiaodong Xie
****@pku.edu.cn
2011 – 2014
Coauthor
Wen Gao
****@pku.edu.cn
2011 – 2014
Coauthor
Huizhu Jia
****@pku.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
deep learning on graph
2015 – Present
Machine Learning
2013 – Present
Deep Learning
2013 – 2019
NLP
2013 – 2019
Computer Vision
2013 – 2019
zero shot learning
2013 – 2019
domain adaptation
2013 – 2019