Tianyi Zhou

University of Maryland, College Park

Names

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

Tianyi Zhou

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.

****@uw.edu
,
****@gmail.com
,
****@umiacs.umd.edu
,
****@umd.edu

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.

Assistant Professor
University of Maryland, College Park (umd.edu)
2022Present
 
Researcher
Google (google.com)
20212022
 
PhD student
University of Washington, Seattle (uw.edu)
20132022
 
Research Assistant
University of Technology Sydney (uts.edu.au)
20112013
 
Research Assistant
Nanyang Technological University (ntu.edu.sg)
20092011
 
Undergrad student
Beijing Institute of Technology (bit.edu.cn)
20042008
 

Advisors, Relations & Conflicts

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

PhD Advisor
Jeff Bilmes
****@uw.edu
20142022
 
PhD Advisor
Carlos Guestrin
****@cs.washington.edu
20132017
 

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, ensemble method, machine teaching, interpretable machine learning, generalization of neural networks, attention mechanism, NLP
2014Present
 
submodular optimization, combinatorial optimization, spectral method
2013Present
 
curriculum learning, submodular optimization, meta-learning, attention
2013Present
 
matrix factorization, sparse learning, compressed sensing, multi-label learning
2009Present
 
Machine Learning
2009Present