Yubei Chen

New York University

Names

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

Yubei 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.

****@eecs.berkeley.edu
,
****@berkeley.edu
,
****@gmail.com
,
****@fb.com
,
****@nyu.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.

Postdoctoral Associate
New York University (nyu.edu)
2022Present
 
Postdoc Researcher
Facebook AI Research (facebook.com)
20202022
 
Postdoctoral Associate
Redwood Center for Theoretical Neuroscience (redwood.berkeley.edu)
20202020
 
PhD student
Electrical Engineering & Computer Science Department, University of California Berkeley (eecs.berkeley.edu)
20122019
 
MS student
Math Department, University of California Berkeley (math.berkeley.edu)
20132015
 
MS student
Electrical Engineering & Computer Science Department, University of California Berkeley (eecs.berkeley.edu)
20122014
 
Undergrad student
Tsinghua University (tsinghua.edu.cn)
20082012
 

Advisors, Relations & Conflicts

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

Coauthor
Yi Ma
****@eecs.berkeley.edu
2022Present
 
Postdoc Advisor
Yann LeCun
****@fb.com
2020Present
 
Coauthor
Zengyi Li
****@berkeley.edu
2019Present
 
Coauthor
Stella X. Yu
****@berkeley.edu
2019Present
 
Coauthor
Jiayun Wang
****@berkeley.edu
2019Present
 
Coauthor
Brian Chueng
****@berkeley.edu
2018Present
 
Coauthor
Friedrich Sommer
****@berkeley.edu
2018Present
 
Coauthor
Pulkit Agrawal
****@berkeley.edu
2018Present
 
Coauthor
Dylan M. Paiton
****@berkeley.edu
2015Present
 
PhD Advisor
Bruno Olshausen
****@berkeley.edu
2012Present
 

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

Manifold Learning, Non-linear dimensional reduction
Present
 
Sparse Coding, Dictionary Learning
Present
 
Energy-based models
Present
 
Factorized representation
Present
 
Unsupervised representation learning
Present
 
Generative models
Present
 
Self-supervised learning
Present