Kunwoong Kim

Hi! I’m a postdoctoral researcher in KAIST AI, working with Jinwoo Shin. Before that, I completed my Ph.D. in Statistics at Seoul National University, advised by Yongdai Kim. My research interest lies in trustworthy AI, vision-language models, and machine learning theory.

Email / CV (PDF) / Scholar / LinkedIn

Events

03-2026: Starting as a Postdoctoral Researcher at KAIST AI.
02-2026: Completed Ph.D. in Statistics at Seoul National University.
02-2026: “Doubly-Regressing Approach for Subgroup Fairness” accepted to ICLR 2026.
07-2025: “Fair Clustering via Alignment” accepted to ICML 2025.
02-2025: “Fair Representation Learning for Continuous Sensitive Attributes …” appeared in TPAMI.
01-2025: “Fairness Through Matching” appeared in TMLR.

Publications

ReLU Integral Probability Metric and its Applications · Under review (2026+)

Yuha Park, Kunwoong Kim, Insung Kong, Yongdai Kim

Fair Bayesian Model-based Clustering · Under review (2026+)

Jihu Lee*, Kunwoong Kim*, Hankyo Jeong, Yongdai Kim (*: co-first author)

Doubly-Regressing Approach for Subgroup Fairness · ICLR 2026

Kunwoong Kim*, Kyungseon Lee*, Jihu Lee, Dongyoon Yang, Yongdai Kim (*: co-first author)

A Fair Bayesian Inference through Matched Gibbs Posterior · ICLR 2026

Jihu Lee, Kunwoong Kim, Sehyun Park, Insung Kong, Dongyoon Yang, Yongdai Kim

Fair Model-based Clustering · AAAI 2026

Jinwon Park, Kunwoong Kim, Jihu Lee, Yongdai Kim

Fair Clustering via Alignment · ICML 2025

Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim

Fairness Through Matching · Transactions on Machine Learning Research (TMLR) 2025

Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim

Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics · IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025

Insung Kong*, Kunwoong Kim*, Yongdai Kim (*: co-first author)

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models · ICML 2024

Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples · AAAI 2024

Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim

On Measuring the Quality of Group Fairness · Journal of Artificial Intelligence Research and Applications 2024

Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim

Purifying Noisy Labels by Adversarial Search and SSL · Journal of Artificial Intelligence Research and Applications 2024

Dongha Kim, Yongchan Choi, Kunwoong Kim, Yongdai Kim

L_q Regularization for Fair Artificial Intelligence Robust to Covariate Shift · Statistical Analysis and Data Mining 2023

Seonghyeon Kim, Sara Kim, Kunwoong Kim, Yongdai Kim

Learning Fair Representation with a Parametric Integral Probability Metric · ICML 2022

Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim

SLIDE: A Surrogate Fairness Constraint to ensure Fairness Consistency · Neural Networks 2022

Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim