Jang-Hyun Kim

Hello! I am a PhD student at Seoul National University, Computer Science department, advised by Hyun Oh Song. My research interests lie in the field of machine learning, especially in solving challenging problems from the optimization perspective.

I previously interned at NAVER CLOVA AI in 2018, working on speech enhancement and speaker verification. I completed my Bachelors with Mathematics from Seoul National University in 2019.

Email   /  CV   /  Google Scholar   /  Github

profile photo

Publications
idc
Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song,
Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
ICML, 2022
Paper | Code | Bibtex

edac
Uncertainty-Based Offline Reinforcement Learning with Diversified
Q-Ensemble

Gaon An*, Seungyong Moon*, Jang-Hyun Kim, Hyun Oh Song
NeurIPS, 2021
Paper | Code | Bibtex

comix
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song
ICLR ( Oral Presentation ), 2021
Paper | Code | Bibtex

spc
Spherical Principal Curves
Jongmin Lee*, Jang-Hyun Kim*, Hee-Seok Oh (*: equal contribution)
TPAMI, 2021 | R Journal, 2022
Paper | R Journal | Code | Bibtex
puzzle
Puzzle Mix: Exploiting Saliency and Local statistics for Optimal Mixup
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
ICML, 2020
Paper | Code | Bibtex
dcu
Phase-Aware Speech Enhancement with Deep Complex U-Net
Hyeong-Seok Choi, Jang-Hyun Kim, Jaesung Huh, Adrian Kim,
Jung-Woo Ha, Kyogu Lee
arxiv, 2019
Paper | Bibtex
mdphd
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement
Jang-Hyun Kim*, Jaejun Yoo*, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha
arxiv, 2018
Paper | Code | Bibtex | Demo

Projects
sv
Google's Speaker Verification
Code | Kaggle

caricature
Caricature Generation
Code

comix
Image Mosaic via Mixed Integer Programming
Code


Notes

Mathematical Backgrounds for Machine Learning, An undergraduate dissertation (in Korean, 2018), Paper

Academic Services

Workshop Program Committee
  • First Workshop on Interpolation Regularizers and Beyond (NeurIPS 2022), Website
  • Workshop on ImageNet: Past, Present, and Future (NeurIPS 2021), Website

Reviewing Activities
  • NeurIPS (2021-), ICLR (2022-), ICML (2022-), TMLR (2022-)

Template based on Jon Barron's website.