Muhao Chen

University of California, Davis

Names

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

Muhao Chen (Preferred)

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.

****@ucla.edu
,
****@usc.edu
,
****@seas.upenn.edu
,
****@isi.edu
,
****@fudan.edu.cn
,
****@ucdavis.edu
,
****@umn.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 California, Davis (ucdavis.edu)
2023Present
 
Adjunct Professor
University of Southern California (usc.edu)
2023Present
 
Assistant Research Professor
University of Southern California (usc.edu)
20202023
 
Postdoc
University of Pennsylvania (upenn.edu)
20192020
 
PhD student
University of California, Los Angeles (ucla.edu)
20142019
 
Undergrad student
Fudan University (fudan.edu.cn)
20102014
 

Advisors, Relations & Conflicts

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

PhD Advisee
Qin Liu
****@usc.edu
2022Present
 
PhD Advisee
Bangzheng Li
****@usc.edu
2022Present
 
PhD Advisee
Tenghao Huang
****@usc.edu
2022Present
 
PhD Advisee
James Y. Huang
****@usc.edu
2021Present
 
PhD Advisee
Peifeng Wang
****@usc.edu
2021Present
 
PhD Advisee
Nan Xu
****@usc.edu
2021Present
 
PhD Advisee
Fei Wang
****@usc.edu
2020Present
 
PhD Advisee
Wenxuan Zhou
****@usc.edu
20202023
 
PhD Advisee
Ehsan Qasemi
****@usc.edu
20202023
 
Faculty Mentor
Pedro Szekely
****@usc.edu
20202022
 
Postdoc Advisor
Dan Roth
****@seas.upenn.edu
20192020
 
PhD Advisor
Kai-Wei Chang
****@cs.ucla.edu
20172019
 
PhD Advisor
Carlo Zaniolo
****@cs.ucla.edu
20142019
 

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

Information Extraction
Present
 
Natural Language Inference
Present
 
Language Modeling
Present
 
Indirect Supervision
Present
 
Security and Privacy of LLMs
Present