Xinshao Wang

Terminal Industries

Names

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

Xinshao Wang (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.

****@qub.ac.uk
,
****@eng.ox.ac.uk
,
****@gmail.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.

Principal Researcher
Terminal Industries (terminal-industries.com)
2023Present
 
Senior researcher
Zenith Ai (zenithai.co.uk)
20202023
 
Visit scholar
University of Oxford (eng.ox.ac.uk)
20212021
 
Postdoc
University of Oxford (eng.ox.ac.uk)
20202020
 
PhD student
Queen's University Belfast (qub.ac.uk)
20172020
 
PhD researcher
Anyvision (anyvision.co)
20172020
 
Machine Learning Intern
Tencent Youtu Lab (tencent.com)
20172017
 

Advisors, Relations & Conflicts

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

Postdoc Advisor
David Clifton
****@robots.ox.ac.uk
2020Present
 
Social
Timothy M. Hospedales
****@ed.ac.uk
2019Present
 
Social
Barry Devereux
****@qub.ac.uk
2019Present
 
PhD Advisor
Neil Robertson
****@qub.ac.uk
2017Present
 
PhD Advisor
Yang Hua
****@qub.ac.uk
2017Present
 
Coauthor
Elyor Kodirov
****@anyvision.co
2017Present
 
Coauthor
Guosheng Hu
****@gmail.com
20172018
 

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

synthetic biology and bioinformatics
2021Present
 
semi-supervised learning
2019Present
 
label noise
2018Present
 
robustness
2018Present
 
regularisation
2017Present
 
example weighting
2017Present
 
deep metric learning
2017Present
 
computer vision
2017Present