Hongyang Li

Shanghai AI Lab

Names

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

Hongyang Li (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.

****@ee.cuhk.edu.hk
,
****@gmail.com
,
****@clarifai.com
,
****@sensetime.com
,
****@pjlab.org.cn
,
****@sjtu.edu.cn

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.

PI
Shanghai AI Lab (pjlab.org.cn)
2022Present
 
Research Scientist
SenseTime (sensetime.com)
20192022
 
PhD student
The Chinese University of Hong Kong (cuhk.edu.hk)
20152019
 

Advisors, Relations & Conflicts

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

Coworker
Li Chen
****@pjlab.org.cn
2021Present
 
PhD Advisee
Chonghao Sima
****@pjlab.org.cn
2021Present
 
Coauthor
Penghao Wu
****@pjlab.org.cn
20212022
 
Coauthor
Xiaosong Jia
****@pjlab.org.cn
20212022
 
Coworker
Jianping Shi
****@senseauto.com
20192021
 
PhD Advisor
Xiaogang Wang
****@ee.cuhk.edu.hk
20152019
 
Coworker
Wanli Ouyang
****@ee.cuhk.edu.hk
20152018
 
Coauthor
Xiaogang Wang
****@ee.cuhk.edu.hk
20152016
 
Coauthor
Huchuan Lu
****@dlut.edu.cn
20152015
 
Coauthor
Xingyu Zeng
****@ee.cuhk.edu.hk
20152015
 
Coauthor
Brian Price
****@adobe.com
20152015
 

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

3D object detection
2021Present
 
perception algorithm
2021Present
 
end to end autonomous driving
2019Present
 
computer vision
2015Present
 
object detection
2015Present
 
deep learning
2014Present