Mingyuan Zhou

The University of Texas at Austin

Names

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

Mingyuan Zhou

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.

****@utexas.edu
,
****@mccombs.utexas.edu
,
****@gmail.com

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.

Associate Professor
The University of Texas at Austin (utexas.edu)
2019Present
 
Assistant Professor
The University of Texas at Austin (utexas.edu)
20132019
 
PhD student
Duke University (duke.edu)
20082013
 

Advisors, Relations & Conflicts

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

PhD Advisee
Shujian Zhang
****@utexas.edu
Present
 
PhD Advisee
Aleksandar Dimitriev
****@mccombs.utexas.edu
Present
 
PhD Advisee
Rahi Kalantari
****@utexas.edu
Present
 
PhD Advisee
Zhendong Wang
****@utexas.edu
Present
 
PhD Advisee
Huangjie Zheng
****@utexas.edu
Present
 
PhD Advisee
Korawat Tanwisuth
****@utexas.edu
Present
 
PhD Advisee
Yilin He
****@mccombs.utexas.edu
Present
 
PhD Advisee
Shentao Yang
****@mccombs.utexas.edu
Present
 
Coauthor
Xiaoning Qian
****@ece.tamu.edu
2014Present
 
Coauthor
Bo Chen
****@mail.xidian.edu.cn
2014Present
 
PhD Advisee
Xinjie Fan
****@utexas.edu
20172021
 
PhD Advisee
Yuguang Yue
****@utexas.edu
20172021
 
PhD Advisee
Mingzhang Yin
****@columbia.edu
20162020
 
PhD Advisee
Quan Zhang
****@broad.msu.edu
20152020
 
PhD Advisor
Lawrence Carin
****@duke.edu
20082013
 

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

reinforcement learning
2018Present
 
deep learning
2014Present
 
discrete data analysis
2012Present
 
latent variable models
2012Present
 
Bayesian analysis
2008Present