Li Shen

Alibaba Group

Names

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

Li Shen (Preferred)
,
li shen

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.

****@vipl.ict.ac.cn
,
****@gmail.com
,
****@robots.ox.ac.uk

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.

Principal Researcher
Alibaba Group (alibaba-inc.com)
2020Present
 
Senior Researcher
Tencent AI Lab (tencent.com)
20192020
 
Postdoc
University of Oxford (ox.ac.uk)
20162018
 
Research Intern
Microsoft (microsoft.com)
20152015
 
PhD student
Chinese Academy of Sciences (ict.ac.cn)
20092015
 

Advisors, Relations & Conflicts

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

Coworker
Ping Tan
****@sfu.ca
2021Present
 
Coauthor
Dan Xu
****@cse.ust.hk
2020Present
 
Coworker
Zhifeng Li
****@tencent.com
20192020
 
Coworker
Shen Li
****@gmail.com
20192020
 
Coworker
Wei Liu
****@columbia.edu
20192020
 
Coauthor
Gang Sun
****@momenta.ai
20172019
 
Coauthor
Jie Hu
****@ios.ac.cn
20172019
 
Coauthor
Samuel Albanie
****@robots.ox.ac.uk
20172019
 
Postdoc Advisor
Andrea Zisserman
****@robots.ox.ac.uk
20162018
 
Coauthor
Junliang Xing
****@nlpr.ia.ac.cn
20162016
PhD Advisor
Zhouchen Lin
****@pku.edu.cn
20132016
 
PhD Advisor
Qingming Huang
****@ucas.ac.cn
20112016
 
Coauthor
Gang Sun
****@ios.ac.cn
20112015
 
Coauthor
Shuqiang Jiang
****@vipl.ict.ac.cn
20112014
Coauthor
Shuhui Wang
****@ict.ac.cn
20112014

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

image recognition and understanding
Present
 
neural network architectures
Present
 
representation learning
Present
 
generative adversarial networks
Present
 
neural radiance fields
Present