Hyun Oh Song

Seoul National University

Names

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

Hyun Oh Song

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.

****@snu.ac.kr
,
****@eecs.berkeley.edu
,
****@cs.stanford.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.

Associate Professor
Seoul National University (snu.ac.kr)
2022Present
 
Assistant Professor
Seoul National University (snu.ac.kr)
20172022
 
Research Scientist
Google (google.com)
20162017
 
Postdoc
Stanford University (stanford.edu)
20142016
 
PhD student
University of California Berkeley (berkeley.edu)
20082014
 

Advisors, Relations & Conflicts

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

Coauthor
Mario Fritz
****@mpi-inf.mpg.de
20112015
 
Coauthor
Ross Girshick
****@gmail.com
20112014
 
Coauthor
Christopher Geyer
****@gmail.com
20112014
 
Advisor
Trevor Darrell
****@eecs.berkeley.edu
20112014
 
Coauthor
Mario Fritz
****@eecs.berkeley.edu
20112014
 
Coauthor
Christopher Geyer
****@irobot.com
20112014
 
Coauthor
Stefanie Jegelka
****@eecs.berkeley.edu
20112014
 
Coauthor
Ross Girshick
****@microsoft.com
20112014
 
Coauthor
Chunhui Gu
****@google.com
20112014
 
Coauthor
Ross Girshick
****@eecs.berkeley.edu
20112014
 
Coauthor
Zaid Harchaoui
****@inria.fr
20112014
 
Coauthor
Pedro Felzenszwalb
****@brown.edu
20112014
 
Coauthor
Julien Mairal
****@m4x.org
20112014
 

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
2012Present
 
Discrete optimization
2011Present
 
Machine learning
2008Present
 
Computer Vision
2008Present
 
Supervised learning
2008Present