Xiaolong Wang (Preferred)
Xiaolong Wang
University of California, San Diego
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.cmu.edu
, ****@gmail.com
, ****@ucsd.edu
Personal Links
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Education & Career History
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Assistant Professor
University of California, San Diego (ucsd.edu)
2020 – Present
Postdoc
University of California Berkeley (berkeley.edu)
2019 – 2020
PhD student
Carnegie Mellon University (cmu.edu)
2014 – 2019
PhD Student
CMU (cmu.edu)
2014 – 2019
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Abhinav Gupta
****@cs.cmu.edu
2014 – 2019
Coauthor
Ivan Laptev
****@inria.fr
2016 – 2016
Coauthor
Gunnar Sigurdsson
****@jhu.edu
2016 – 2016
Coauthor
David Fouhey
****@cs.cmu.edu
2011 – 2016
Coauthor
Rui Huang
****@cs.rutgers.edu
2011 – 2016
Coauthor
Abhinav Gupta
****@cs.cmu.edu
2011 – 2016
Coauthor
Zhujin Liang
****@gmail.com
2011 – 2016
Coauthor
Wei Yang
****@mail2.sysu.edu.cn
2011 – 2016
Coauthor
Jian-huang Lai
****@mail.sysu.edu.cn
2011 – 2016
Coauthor
Liang Lin
****@mail.sysu.edu.cn
2011 – 2016
Coauthor
Ali Farhadi
****@cs.washington.edu
2011 – 2016
Coauthor
Keze Wang
****@gmail.com
2011 – 2016
Coauthor
Ali Farhadi
****@cs.uw.edu
2011 – 2016
Coauthor
Liang Lin
****@ieee.org
2011 – 2016
Coauthor
Wangmeng Zuo
****@hit.edu.cn
2011 – 2016
Coauthor
Xiaolong Wang
****@cs.cmu.edu
2004 – 2016
Coauthor
Xiaolong Wang
****@gmail.com
2004 – 2016
Coauthor
Jianhuang Lai
****@mail.sysu.edu.cn
2011 – 2014
Coauthor
Shuicheng Yan
****@nus.edu.sg
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
2018 – 2023
Computer Vision
2014 – 2023
Machine Learning
2014 – 2023