Stella X. Yu (Preferred)
, Stella Yu
Stella X. Yu
University of Michigan - Ann Arbor
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.
****@icsi.berkeley.edu
, ****@berkeley.edu
, ****@umich.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.
Full Professor
University of Michigan - Ann Arbor (umich.edu)
2022 – Present
Adjunct Professor
University of California, Berkeley (berkeley.edu)
2022 – Present
Director, ICSI Vision Group
University of California, Berkeley (berkeley.edu)
2015 – 2022
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisee
Alfredo De Goyeneche
****@berkeley.edu
2023 – Present
Postdoc Advisee
Sangwoo Mo
****@umich.edu
2023 – Present
Postdoc Advisee
Amir Rahimi
****@umich.edu
2023 – Present
PhD Advisee
Ryan Feng
****@umich.edu
2023 – Present
PhD Advisee
Zilin Wang
****@umich.edu
2023 – Present
PhD Advisee
Anna Kay
****@med.umich.edu
2023 – Present
PhD Advisee
Zhengjie Xu
****@umich.edu
2023 – Present
Postdoc Advisee
Fei Pan
****@umich.edu
2023 – Present
PhD Advisee
Zhihang Ren
****@berkeley.edu
2020 – Present
PhD Advisee
Utkarsh Singhal
****@berkeley.edu
2019 – Present
Coauthor
Yubei Chen
****@gmail.com
2019 – Present
PhD Advisee
Jyh-Jing Hwang
****@cis.upenn.edu
2018 – Present
Coauthor
Boqing Gong
****@gmail.com
2018 – Present
PhD Advisee
Tsung-Wei Ke
****@berkeley.edu
2017 – Present
PhD Advisee
Zhongqi Miao
****@berkeley.edu
2017 – Present
PhD Advisee
Peter Wang
****@berkeley.edu
2017 – Present
Coauthor
Jonathan I. Tamir
****@eecs.berkeley.edu
2017 – Present
Coauthor
Miki Lustig
****@berkeley.edu
2017 – Present
PhD Advisee
Baladitya Yellapragada
****@berkeley.edu
2016 – Present
Postdoc Advisee
Sascha Hornauer
****@icsi.berkeley.edu
2016 – Present
PhD Advisee
Daniel Yeh
****@berkeley.edu
2021 – 2023
Postdoc Advisee
Sangryul Jeon
****@umich.edu
2021 – 2023
PhD Advisee
Long Lian
****@berkeley.edu
2020 – 2023
Coauthor
Yann LeCun
****@cs.nyu.edu
2021 – 2022
Postdoc Advisee
Nils-Steffen Worzyk
****@icsi.berkeley.edu
2021 – 2022
Postdoc Advisee
Yunhui Guo
****@eng.ucsd.edu
2020 – 2022
PhD Advisee
Xudong Wang
****@eecs.berkeley.edu
2020 – 2022
Postdoc Advisee
Qian Yu
****@berkeley.edu
2018 – 2019
Postdoc Advisee
Rudrasis Chakraborty
****@gmail.com
2018 – 2019
Postdoc Advisee
Zhirong Wu
****@gmail.com
2017 – 2018
Postdoc Advisee
Ziwei Liu
****@gmail.com
2017 – 2018
Coauthor
Alexei A. Efros
****@eecs.berkeley.edu
2015 – 2018
Coauthor
Hao Su
****@eng.ucsd.edu
2017 – 2017
Coauthor
Judy Hoffman
****@cs.stanford.edu
2016 – 2016
Coauthor
Lorenzo Torresani
****@cs.dartmouth.edu
2016 – 2016
Coauthor
Lorenzo Torresani
****@dartmouth.edu
2016 – 2016
Coauthor
Gedas Bertasius
****@seas.upenn.edu
2016 – 2016
Coauthor
Xingchao Peng
****@bu.edu
2015 – 2016
Coauthor
Tinghui Zhou
****@eecs.berkeley.edu
2011 – 2016
Coauthor
Philipp Krahenbuhl
****@berkeley.edu
2015 – 2015
Coauthor
Michael Maire
****@ttic.edu
2011 – 2014
Coauthor
Hao Jiang
****@bc.edu
2011 – 2014
Coauthor
Pietro Perona
****@caltech.edu
2011 – 2014
Coauthor
Hao Jiang
****@cs.bc.edu
2011 – 2014
Coauthor
David Martin
****@google.com
2011 – 2014
Coauthor
Michael Maire
****@caltech.edu
2011 – 2014
PhD Advisee
Elena Bernardis
****@email.chop.edu
2009 – 2011
Postdoc Advisor
Jitendra Malik
****@eecs.berkeley.edu
2008 – 2008
PhD Advisor
Jianbo Shi
****@seas.upenn.edu
2001 – 2003
PhD Advisor
Tai Sing Lee
****@cs.cmu.edu
1997 – 2003
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
unsupervised feature learning
2018 – Present
semi-supervised learning
2018 – Present
open long-tailed recognition
2018 – Present
intrinsics
2009 – Present
image segmentation
2001 – Present