David Z. Pan
David Z. Pan
University of Texas, Austin
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.
****@ece.utexas.edu
Personal Links
Add links to your profiles on other sites. (Optional)
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.
Professor
University of Texas, Austin (utexas.edu)
2003 – Present
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Chen, Ray T.
****@ece.utexas.edu
Present
PhD Advisee
Bei Yu
****@cse.cuhk.edu.hk
Present
Postdoc Advisee
Arman Roohi
****@gmail.com
Present
Coworker
Wooyoung Jang
****@gmail.com
Present
PhD Advisee
Haoxing Ren
****@gmail.com
Present
Coauthor
Nan Sun
****@mail.utexas.edu
Present
Coauthor
Qiang Liu
****@cs.utexas.edu
Present
Coauthor
Huang, Qixing
****@cs.utexas.edu
Present
Coauthor
Yier Jin
****@ece.ufl.edu
Present
PhD Advisee
Xiaoqing Xu
****@gmail.com
Present
Coauthor
Schlichtmann, Ulf
****@tum.de
Present
Coauthor
Chiou, Derek
****@ece.utexas.edu
Present
Coauthor
Hoe, James
****@cmu.edu
Present
Coauthor
Khailany, Brucek
****@nvidia.com
Present
PhD Advisee
Wei Ye
****@utexas.edu
2015 – 2020
PhD Advisee
Yibo Lin
****@live.com
2015 – 2020
PhD Advisee
Mohamed Baker Alawieh
****@gmail.com
2015 – 2020
PhD Advisee
Wuxi Li
****@utexas.edu
2015 – 2020
PhD Advisee
Zheng Zhao
****@gmail.com
2015 – 2020
PhD Advisee
Meng Li
****@fb.com
2016 – 2018
PhD Advisor
Jason Cong
****@cs.ucla.edu
1996 – 2000
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