Lu Jiang

Carnegie Mellon University

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Lu Jiang

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.

****@google.com
,
****@gmail.com
,
****@cmu.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.

Adjunct Professor
Carnegie Mellon University (cmu.edu)
2021 – Present
 
Reseach Scientist
Google Research (google.com)
2017 – Present
 
PhD student
School of Computer Science, Carnegie Mellon University (cs.cmu.edu)
2011 – 2016
 
MS student
Université libre de Bruxelles (ulb.ac.be)
2010 – 2011
 

Advisors, Relations & Conflicts

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

Coworker
Thomas Leung
****@google.com
2017 – Present
 
Coworker
Kevin Murphy
****@google.com
2017 – Present
 
Coworker
Ming-Hsuan Yang
****@ucmerced.edu
2017 – Present
 
Coworker
Liangliang Cao
****@google.com
2017 – Present
 
Coworker
Li Fei-Fei
****@cs.stanford.edu
2017 – 2019
 
Coauthor
Juan Carlos Niebles
****@cs.stanford.edu
2017 – 2019
 
Coauthor
Yi Yang
****@uts.edu.au
2014 – 2019
 
PhD Advisor
Alexander Hauptmann
****@cs.cmu.edu
2011 – 2018
 
Coauthor
Zongben Xu
****@mail.xjtu.edu.cn
2015 – 2016
 
Coauthor
Deyu Meng
****@mail.xjtu.edu.cn
2011 – 2016
 
Coauthor
Shoou-i Yu
****@cs.cmu.edu
2011 – 2016
 
Coauthor
Shiguang Shan
****@ict.ac.cn
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

Computer Vision
2013 – Present
 
Multimedia
2011 – Present
 
Machine Learning
2008 – Present