Brian Kulis

Boston University

Names

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

Brian Kulis (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.

****@cse.ohio-state.edu
,
****@bu.edu
,
****@gmail.com
,
****@amazon.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.

Associate Professor
Boston University (bu.edu)
2015Present
 
Amazon Scholar
Amazon (amazon.com)
20192023
 
Assistant Professor
Ohio State University (osu.edu)
20112015
 

Advisors, Relations & Conflicts

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

Coauthor
Kate Saenko
****@cs.uml.edu
20112015
 
Coauthor
Judy Hoffman
****@cs.stanford.edu
20122014
 
Coauthor
Trevor Darrell
****@eecs.berkeley.edu
20112014
 
Coauthor
Jeff Donahue
****@cs.berkeley.edu
20112014
 
Coauthor
Anirban Roychowdhury
****@osu.edu
20112014
 
Coauthor
Inderjit Dhillon
****@cs.utexas.edu
20112014
 
Coauthor
Kristen Grauman
****@cs.utexas.edu
20112014
 
Coauthor
Kate Saenko
****@eecs.berkeley.edu
20112014
 
Coauthor
Jeff Donahue
****@eecs.berkeley.edu
20112014
 
Coauthor
Lawrence Carin
****@duke.edu
20112014
 
Coauthor
Erik Rodner
****@uni-jena.de
20112014
 
Coauthor
Judy Hoffman
****@eecs.berkeley.edu
20112014
 
Coauthor
Jeff Donahue
****@gmail.com
20112014
 
Coauthor
Fei Sha
****@usc.edu
20112014
 
Coauthor
trevor darrell
****@gmail.com
20122012
 

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

Few-shot learning, Domain Adaptation, Meta Learning
20172022
 
Metric Learning, Hashing, Similarity Search
20062022
 
Clustering, Bregman Divergences, Image Segmentation
20032022
 
Bayesian Nonparametrics, Dirichlet Processes, Graphical Models
20102017