qiang liu

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.

qiang liu (Preferred)
,
Qiang Liu

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.

****@cs.dartmouth.edu
,
****@dartmouth.edu
,
****@gmail.com
,
****@cs.utexas.edu
,
****@cs.utexas.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.

Assistant Professor
University of Texas, Austin (utexas.edu)
2018Present
 
Assistant Professor
Dartmouth College (dartmouth.edu)
20152018
 
Postdoc
Massachusetts Institute of Technology (mit.edu)
20142015
 
PhD student
University of California, Irvine (uci.edu)
20082014
 

Advisors, Relations & Conflicts

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

Coworker
Jian Peng
****@illinois.edu
2018Present
 
coworker
Jason lee
****@gmail.com
2018Present
 
coworker
dengyoung Zhou
****@google.com
2018Present
 
coworker
Lihong li
****@google.com
2018Present
 
Coworker
Dengyong Zhou
****@google.com
20182018
 
Coworker
Lihong li
****@google.com
20182018
 
Coworker
jiang peng
****@illinois.edu
20182018
 
Coworker
Jason lee
****@marshall.usc.edu
20182018
 
Postdoc Advisor
John Fisher III
****@csail.mit.edu
20152015
 
PhD Advisor
Alexander Ihler
****@ics.uci.edu
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

machine learning
Present
 
reinforcement learning, off-policy evaluation
Present
 
deep learning
Present
 
approximate inference, variational inference, MCMC, probabilistic inference, bayesian inference, langevin dynamics, Monte Carlo, importance sampling, Stein variational
2014Present
 
variational inference, approximate inference, MCMC, Monte Carlo, graphical models, Stein's method
20102018