John Wright

Columbia University

Names

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John Wright

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.

****@ee.columbia.edu
,
****@columbia.edu

Education & Career History

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Associate Professor
Columbia University (columbia.edu)
2016Present
 
Assistant Professor
Columbia University (columbia.edu)
20112016
 

Advisors, Relations & Conflicts

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

PhD Advisee
Dar Gilboa
****@gmail.com
20172020
 
PhD Advisee
Qing Qu
****@umich.edu
20132020
 
PhD Advisee
Yuqian Zhang
****@rutgers.edu
20112020
 
PhD Advisee
Han-Wen Kuo
****@gmail.com
20112020
 
PhD Advisee
Ju Sun
****@gmail.com
20112018
 
Coauthor
Moshe Ben-ezra
****@ben-ezra.org
20112014
 
Coauthor
Shih-fu Chang
****@columbia.edu
20112014
 
Coauthor
Yigang Peng
****@mails.tsinghua.edu.cn
20112014
 
Coauthor
Allen Yang
****@berkeley.edu
20112014
 
Coauthor
Yadong Mu
****@gmail.com
20112014
 
Coauthor
Rei Kawakami
****@hc.ic.i.u-tokyo.ac.jp
20112014
 
Coauthor
Han-wen Kuo
****@columbia.edu
20112014
 
Coauthor
Shuicheng Yan
****@nus.edu.sg
20112014
 
Coauthor
Yasuyuki Matsushita
****@ist.osaka-u.ac.jp
20112014
 
Coauthor
Ju Sun
****@ee.columbia.edu
20112014
 
Coauthor
Xiao-ming Wu
****@columbia.edu
20112014
 
Coauthor
Yi Ma
****@berkeley.edu
20112014
 
Coauthor
Hossein Mobahi
****@csail.mit.edu
20092014
 
Coauthor
Zihan Zhou
****@ist.psu.edu
20082014
 
Coauthor
Arvind Ganesh
****@gmail.com
20082014
 
Coauthor
Guillermo Sapiro
****@duke.edu
20102010
 
Coauthor
Jianchao Yang
****@gmail.com
20082010
 
Coauthor
Gang Hua
****@gmail.com
20092009
 
Coauthor
Zhouchen Lin
****@pku.edu.cn
20072009
 
Coauthor
Robert Pless
****@wustl.edu
20052005
 

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

Sparse and low-rank modeling
Present
 
Dictionary learning
Present
 
Nonconvex optimization
Present
 
Convex optimization
Present
 
Signal processing
Present
 
Compressed sensing
Present