Yan Zhang

Samsung - SAIT AI Lab, Montreal

Names

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

Yan Zhang

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.

****@ecs.soton.ac.uk
,
****@gmail.com
,
****@cyan.zone
,
****@mila.quebec
,
****@samsung.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.

Researcher
Samsung - SAIT AI Lab, Montreal (samsung.com)
2020Present
 
PhD student
University of Southampton (soton.ac.uk)
20162020
 
Undergrad student
University of Southampton (soton.ac.uk)
20132016
 

Advisors, Relations & Conflicts

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

Coworker
Sébastien Lachapelle
****@UMONTREAL.CA
2023Present
 
Coworker
Alexia Jolicoeur-Martineau
****@mail.mcgill.ca
2022Present
 
Coworker
Aristide Baratin
****@hotmail.com
2021Present
 
Coworker
Damien Scieur
****@gmail.com
2020Present
 
Coworker
Yash Goyal
****@gatech.edu
2020Present
 
Coworker
Simon Lacoste-Julien
****@iro.umontreal.ca
2020Present
 
Coworker
Marwa El Halabi
****@gmail.com
2020Present
 
Coworker
Reza Babanezhad
****@gmail.com
2020Present
 
PhD Advisor
Jonathon Hare
****@ecs.soton.ac.uk
20162020
 
PhD Advisor
Adam Prügel-Bennett
****@ecs.soton.ac.uk
20162020
 

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

deep learning
Present
 
structured prediction
Present
 
object-centric learning
Present
 
geometric deep learning
Present