Hyunwoo Kim

LG AI Research

Names

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

Hyunwoo Kim (Preferred)
,
Hyunwoo Eugene Kim

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.

****@gmail.com
,
****@lgresearch.ai

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
LG AI Research (lgresearch.ai)
2021Present
 
Principal Researcher
LG Electronics (lge.com)
20192021
 
Associate Professor
Beijing Institute of Technology (bit.edu.cn)
20172019
 

Advisors, Relations & Conflicts

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

Coauthor
Scott Sanner
****@mie.utoronto.ca
2019Present
 
Coauthor
Zheda Mai
****@mail.utoronto.ca
2019Present
 
Coauthor
Jihwan Jeong
****@mie.utoronto.ca
2019Present
 
Coauthor
Sungroh Yoon
****@snu.ac.kr
20212022
 
Coauthor
Seon Joo Kim
****@yonsei.ac.kr
20212022
 
Coauthor
Su Ho Han
****@yonsei.ac.kr
20212022
 
Coauthor
Eunji Kim
****@snu.ac.kr
20212022
 
Coauthor
Jooyoung Choi
****@snu.ac.kr
20212022
 
Coauthor
Ruiwen Li
****@mail.utoronto.ca
20212022
 
Coauthor
Konstantinos N. Plataniotis
****@comm.utoronto.ca
20192020
 
Coauthor
Qiang Huang
****@bit.edu.cn
20172019
 
Coauthor
Junmo Kim
****@ee.kaist.ac.kr
20092019
 
PhD Advisor
Ki-Sang Hong
****@postech.ac.kr
19942001
 

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

Continual Learning
2019Present
 
Explainable AI
2019Present
 
Deep Learning
2016Present
 
Computer Vision
1994Present