John Wright

Columbia University

Names

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John Wright

Emails

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

Personal Links

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Education & Career History

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Associate Professor
Columbia University (columbia.edu)
2016 – Present
 
Assistant Professor
Columbia University (columbia.edu)
2011 – 2016
 

Advisors, Relations & Conflicts

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PhD Advisee
Tingran Wang
****@columbia.edu
2017 – 2023
 
PhD Advisee
Sam Buchanan
****@ttic.edu
2015 – 2022
 
PhD Advisee
Robert Colgan
****@cs.columbia.edu
2015 – 2022
 
PhD Advisee
Dar Gilboa
****@gmail.com
2017 – 2020
 
PhD Advisee
Qing Qu
****@umich.edu
2013 – 2020
 
PhD Advisee
Yuqian Zhang
****@rutgers.edu
2011 – 2020
 
PhD Advisee
Han-Wen Kuo
****@gmail.com
2011 – 2020
 
PhD Advisee
Ju Sun
****@gmail.com
2011 – 2018
 
Coauthor
Moshe Ben-ezra
****@ben-ezra.org
2011 – 2014
 
Coauthor
Shih-fu Chang
****@columbia.edu
2011 – 2014
 
Coauthor
Yigang Peng
****@mails.tsinghua.edu.cn
2011 – 2014
 
Coauthor
Allen Yang
****@berkeley.edu
2011 – 2014
 
Coauthor
Yadong Mu
****@gmail.com
2011 – 2014
 
Coauthor
Rei Kawakami
****@hc.ic.i.u-tokyo.ac.jp
2011 – 2014
 
Coauthor
Han-wen Kuo
****@columbia.edu
2011 – 2014
 
Coauthor
Shuicheng Yan
****@nus.edu.sg
2011 – 2014
 
Coauthor
Yasuyuki Matsushita
****@ist.osaka-u.ac.jp
2011 – 2014
 
Coauthor
Ju Sun
****@ee.columbia.edu
2011 – 2014
 
Coauthor
Xiao-ming Wu
****@columbia.edu
2011 – 2014
 
Coauthor
Yi Ma
****@berkeley.edu
2011 – 2014
 
Coauthor
Hossein Mobahi
****@csail.mit.edu
2009 – 2014
 
Coauthor
Zihan Zhou
****@ist.psu.edu
2008 – 2014
 
Coauthor
Arvind Ganesh
****@gmail.com
2008 – 2014
 
Coauthor
Guillermo Sapiro
****@duke.edu
2010 – 2010
 
Coauthor
Jianchao Yang
****@gmail.com
2008 – 2010
 
Coauthor
Gang Hua
****@gmail.com
2009 – 2009
 
Coauthor
Zhouchen Lin
****@pku.edu.cn
2007 – 2009
 
Coauthor
Robert Pless
****@wustl.edu
2005 – 2005
 

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