Sanghyuk Chun
Sanghyuk Chun
NAVER AI Lab
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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.
****@navercorp.com
, ****@gmail.com
Personal Links
Add links to your profiles on other sites. (Optional)
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.
Lead research scientist
NAVER AI Lab (navercorp.com)
2020 – Present
Research scientist
NAVER AI Lab (navercorp.com)
2018 – 2020
Research engineer
Kakao (kakaocorp.com)
2016 – 2018
MS student
Korea Advanced Institute of Science and Technology (kaist.ac.kr)
2014 – 2016
Research internship
Naver Labs Korea (naverlabs.com)
2015 – 2015
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Hyunjung Shim
****@yonsei.ac.kr
2019 – 2021
Coauthor
Zeynep Akata
****@uni-tuebingen.de
2019 – 2020
Coauthor
Oriol Nieto
****@pandora.com
2019 – 2020
Coauthor
Minz Won
****@upf.edu
2016 – 2020
Coauthor
Jinwoo Shin
****@kaist.ac.kr
2013 – 2016
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
Multi-modal learning, vision and language
2019 – Present
Machine learning reliability, robustness, de-biasing, domain generalization, uncertainty estimation, explainability
2018 – Present
Generative models
2018 – 2019
Audio modelling, music modelling
2015 – 2019
Recommender systems, matrix factorization, collaborative filtering, content-based recommender systems
2015 – 2017
Multi-armed bandit, online ranking algorithm
2015 – 2017
Dimensionality reduction, robust PCA, clustering
2013 – 2015