Junfeng He

Google

Names

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

Junfeng He (Preferred)

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.

****@gmail.com
,
****@fb.com
,
****@google.com

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.

Research Scientist
Google (google.com)
Present
 
PhD student
Columbia University (columbia.edu)
Present
 
Researcher
Google (google.com)
2016Present
 
Research Scientist
Facebook (fb.com)
20122016
 

Advisors, Relations & Conflicts

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

Coauthor
Maxime Boucher
****@bic.mni.mcgill.ca
20142014
 
Coauthor
Shih-fu Chang
****@columbia.edu
20112014
 
Coauthor
Junfeng He
****@fb.com
20112014
 
Coauthor
Shih-fu Chang
****@cs.columbia.edu
20112014
 
Coauthor
Jae-pil Heo
****@gmail.com
20112014
 
Coauthor
Bo Lang
****@nlsde.buaa.edu.cn
20112014
 
Coauthor
Bo Lang
****@fudan.edu.cn
20112014
 
Coauthor
Cheng Deng
****@gmail.com
20112014
 
Coauthor
Xianglong Liu
****@gmail.com
20112014
 
Coauthor
Sung-eui Yoon
****@gmail.com
20112014
 
Coauthor
Sanjiv Kumar
****@google.com
20112014
 
Coauthor
Junfeng He
****@gmail.com
20112014
 
Coauthor
Zhouchen Lin
****@pku.edu.cn
20062009
 
Coauthor
Yu-gang Jiang
****@fudan.edu.cn
20082008
 

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

Gaze, saliency, visual attention, image editing, image forensic, computer vision, machine learning, HCI, ranking, search
Present
 
gaze tracking, saliency, attention, image editing, image forensic, few shot learning, robust model, self-supervisef learning, continual leaning, on-device learning, computer vision, machine learning, HCI, ranking
2016Present