Junfeng He (Preferred)
Junfeng He
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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
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.
Research Scientist
Google (google.com)
Present
PhD student
Columbia University (columbia.edu)
Present
Researcher
Google (google.com)
2016 – Present
Research Scientist
Facebook (fb.com)
2012 – 2016
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
2014 – 2014
Coauthor
Shih-fu Chang
****@columbia.edu
2011 – 2014
Coauthor
Junfeng He
****@fb.com
2011 – 2014
Coauthor
Shih-fu Chang
****@cs.columbia.edu
2011 – 2014
Coauthor
Jae-pil Heo
****@gmail.com
2011 – 2014
Coauthor
Bo Lang
****@nlsde.buaa.edu.cn
2011 – 2014
Coauthor
Bo Lang
****@fudan.edu.cn
2011 – 2014
Coauthor
Cheng Deng
****@gmail.com
2011 – 2014
Coauthor
Xianglong Liu
****@gmail.com
2011 – 2014
Coauthor
Sung-eui Yoon
****@gmail.com
2011 – 2014
Coauthor
Sanjiv Kumar
****@google.com
2011 – 2014
Coauthor
Junfeng He
****@gmail.com
2011 – 2014
Coauthor
Zhouchen Lin
****@pku.edu.cn
2006 – 2009
Coauthor
Yu-gang Jiang
****@fudan.edu.cn
2008 – 2008
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
2016 – Present