Yuke Zhu
Yuke Zhu
Computer Science Department, University of Texas, Austin
Names
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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.stanford.edu
, ****@stanford.edu
, ****@cs.utexas.edu
, ****@nvidia.com
Personal Links
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Education & Career History
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Assistant Professor
Computer Science Department, University of Texas, Austin (cs.utexas.edu)
2019 – Present
PhD student
Computer Science Department, Stanford University (cs.stanford.edu)
2013 – 2019
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Fei-Fei Li
****@cs.stanford.edu
2013 – 2019
Coauthor
Yannis Kalantidis
****@image.ntua.gr
2016 – 2016
Coauthor
Roozbeh Mottaghi
****@allenai.org
2016 – 2016
Coauthor
Justin Johnson
****@cs.stanford.edu
2016 – 2016
Coauthor
Li Fei-fei
****@cs.stanford.edu
2016 – 2016
Coauthor
Li-jia Li
****@gmail.com
2016 – 2016
Coauthor
Abhinav Gupta
****@cs.cmu.edu
2016 – 2016
Coauthor
Roozbeh Mottaghi
****@cs.stanford.edu
2016 – 2016
Coauthor
Joseph Lim
****@csail.mit.edu
2016 – 2016
Coauthor
Li-jia Li
****@cs.stanford.edu
2016 – 2016
Coauthor
Yuke Zhu
****@cs.stanford.edu
2013 – 2016
Coauthor
Yuke Zhu
****@stanford.edu
2013 – 2016
Coauthor
Amir Zamir
****@cs.stanford.edu
2015 – 2015
Coauthor
Ce Zhang
****@cs.stanford.edu
2015 – 2015
Coauthor
Tian Lan
****@cs.stanford.edu
2011 – 2015
Coauthor
Tian Lan
****@gmail.com
2011 – 2015
Coauthor
Tian Lan
****@amazon.com
2011 – 2015
Coauthor
Greg Mori
****@cs.sfu.ca
2011 – 2014
Coauthor
Alireza Fathi
****@cs.stanford.edu
2011 – 2014
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
Robotics
Present
Robot Learning
Present
Embodied AI
Present
Robot Manipulation
Present