Li Zhang

Fudan University

Names

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

Li Zhang (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.

****@robots.ox.ac.uk
,
****@qmul.ac.uk
,
****@fudan.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.

Associate Professor
Fudan University (fudan.edu.cn)
2020Present
 
Postdoc
University of Oxford (ox.ac.uk)
20182020
 
PhD student
Queen Mary University London (qmul.ac.uk)
20142017
 

Advisors, Relations & Conflicts

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

Coauthor
Anurag Arnab
****@robots.ox.ac.uk
2019Present
 
Coauthor
Dan Xu
****@robots.ox.ac.uk
2019Present
 
Coauthor
Xiaojuan Qi
****@eng.ox.ac.uk
2019Present
 
Coauthor
Yanwei Fu
****@fudan.edu.cn
2019Present
 
Coauthor
Xiangtai Li
****@pku.edu.cn
2019Present
 
Postdoc Advisor
Philip H.S. Torr
****@eng.ox.ac.uk
2018Present
 
Coauthor
Song Bai
****@gmail.com
2018Present
 
Coauthor
Zhao Yang
****@eng.ox.ac.uk
2018Present
 
Coauthor
Luca Bertinetto
****@five.ai
20182019
 
Coauthor
Qiang Wang
****@nlpr.ia.ac.cn
20182019
 
Coauthor
Weiming Hu
****@nlpr.ia.ac.cn
20182019
 
Coauthor
Yongxin Yang
****@surrey.ac.uk
20172018
 
PhD Advisor
Tao Xiang
****@surrey.ac.uk
20142018
 
PhD Advisor
Shaogang Gong
****@qmul.ac.uk
20142018
 
PhD Advisor
Timothy M. Hospedales
****@ed.ac.uk
20142018
 

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

semantic segmentation
2019Present
 
3D object detection
2019Present
 
instance segmentation
2019Present
 
few-shot learning
20172020
 
zero-shot learning
20152019
 
person re-id
20142017