Yingzhen Li

Imperial College London

Names

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

Yingzhen 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.

****@cam.ac.uk
,
****@microsoft.com
,
****@gmail.com
,
****@imperial.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.

Lecturer
Imperial College London (imperial.ac.uk)
2021Present
 
Researcher
Microsoft Research Cambridge (microsoft.com)
20182020
 
PhD student
University of Cambridge (cam.ac.uk)
20132018
 

Advisors, Relations & Conflicts

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

Coworker
Cheng Zhang
****@microsoft.com
2018Present
 
Coworker
Jose Miguel Hernandez-Lobato
****@cam.ac.uk
2015Present
 
PhD Advisor
Richard Turner
****@cam.ac.uk
2013Present
 
Coworker
Nate Kushman
****@microsoft.com
20182020
 
Coworker
Sebastian Tschiatschek
****@microsoft.com
20182020
 
Coworker
Stephan Mandt
****@disneyresearch.com
20172018
 
Coworker
Cuong Nguyen
****@cam.ac.uk
20172018
 
Coworker
Qiang Liu
****@dartmouth.edu
20162018
 
Coworker
Thang Bui
****@gmail.com
20152018
 
Coworker
Yarin Gal
****@cs.ox.ac.uk
20162017
 

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

continue learning
2018Present
 
disentangled representation
2018Present
 
Gaussian process
2018Present
 
meta learning
2018Present
 
stochastic gradient MCMC
2017Present
 
adversarial attacks and defences
2017Present
 
Bayesian neural networks
2015Present
 
deep generative models (VAEs and GANs)
2015Present
 
transfer learning
2014Present
 
approximate inference
2013Present
 
variational inference
2013Present
 
message passing
2013Present