Yubei Chen (Preferred)
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.
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
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.
Postdoctoral Associate
New York University (nyu.edu)
2022 – Present
Postdoc Researcher
Facebook AI Research (facebook.com)
2020 – 2022
Postdoctoral Associate
Redwood Center for Theoretical Neuroscience (redwood.berkeley.edu)
2020 – 2020
PhD student
Electrical Engineering & Computer Science Department, University of California Berkeley (eecs.berkeley.edu)
2012 – 2019
MS student
Math Department, University of California Berkeley (math.berkeley.edu)
2013 – 2015
MS student
Electrical Engineering & Computer Science Department, University of California Berkeley (eecs.berkeley.edu)
2012 – 2014
Undergrad student
Tsinghua University (tsinghua.edu.cn)
2008 – 2012
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
2022 – Present
Postdoc Advisor
Yann LeCun
****@fb.com
2020 – Present
Coauthor
Zengyi Li
****@berkeley.edu
2019 – Present
Coauthor
Stella X. Yu
****@berkeley.edu
2019 – Present
Coauthor
Jiayun Wang
****@berkeley.edu
2019 – Present
Coauthor
Brian Chueng
****@berkeley.edu
2018 – Present
Coauthor
Friedrich Sommer
****@berkeley.edu
2018 – Present
Coauthor
Pulkit Agrawal
****@berkeley.edu
2018 – Present
Coauthor
Dylan M. Paiton
****@berkeley.edu
2015 – Present
PhD Advisor
Bruno Olshausen
****@berkeley.edu
2012 – Present
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