Sanghyuk Chun
Sanghyuk Chun
PhD student, Department of Computer Science, Princeton University
Joined
July 2019
Names
Emails
****@navercorp.com (Confirmed)
****@gmail.com (Confirmed)
****@princeton.edu (Confirmed)
Personal Links
Career & Education History
PhD student
Department of Computer Science, Princeton University (cs.princeton.edu)
2025 – Present
Lead research scientist
NAVER AI Lab (navercorp.com)
2020 – 2025
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
MS student
KAIST (kaist.ac.kr)
2014 – 2016
Research internship
Naver Labs Korea (naverlabs.com)
2015 – 2015
Advisors, Relations & Conflicts
Expertise
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
Publications
Co-Authors
- Adrian Kim
- Animesh Garg
- Atsushi Yamashita
- Bado Lee
- Byeongho Heo
- Byeongkyu Kang
- Byungsoo Ko
- Chanwoo Park
- Daeho Um
- Deqing Sun
- Diane Larlus
- Dongyoon Han
- Gayoung Lee
- Geonmo Gu
- Gyeongsik Moon
- Gyuwan Kim
- Hajime Asama
- Hajung Yoon
- Han-Cheol Cho
- Han-Gyu Kim
- Hee Seung Hwang
- HeeJae Jun
- Hongsuk Choi
- Hwalsuk Lee
- Hwanjun Song