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BIOGRAPHY
BIOGRAPHY
I am a PhD student at the KAIST Data Intelligence Lab. I am interested in the intersection of Responsible AI and Data-centric AI, with a specific focus on developing robust models in dynamic environments. I enjoy addressing challenges posed by data distribution changes over time. My recent publications solve continual learning in the presence of concept drifts, unfairness, and data scarcity. I am currently conducting research with a focus on Large Language Models, Multimodal Learning, and Machine Unlearning.
I received my master's and bachelor's degree from KAIST EE in 2022 and 2020, respectively. I also got a KAIST EE Fellowship in 2020 when joining the Data Intelligence Lab. Previously, I worked as a research intern at Microsoft Research Asia, KRAFTON AI, NAVER, and SK Hynix in 2025, 2025, 2019, and 2018, respectively.
PUBLICATIONS
PUBLICATIONS
RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming
[Paper]
Minsu Kim, Junwoo Park, Chanho Lee, Gibum Seo, Steven Euijong Whang, and Hyuck Lee
Under Review
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in
Class-Incremental Learning
[Paper]
Minsu Kim, Seong-Hyeon Hwang, and Steven Euijong Whang
Under Review
Fair Class-Incremental Learning using Sample Weighting
[Paper / Code / OpenReview]
Jaeyoung Park*, Minsu Kim*, and Steven Euijong Whang
Under Review
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in
Class-Incremental Learning
[Paper]
Seong-Hyeon Hwang, Minsu Kim, and Steven Euijong Whang
CVPR 2025
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
[Paper]
Seong-Hyeon Hwang, Minsu Kim, and Steven Euijong Whang
KDD 2024
Automatic Data Calibration and Selection Techniques for Addressing Drifting Data in
Machine Learning
[Paper]
Minsu Kim
M.S. Thesis, KAIST, 2022
EXPERIENCE
EXPERIENCE
Microsoft Research Asia | Aug. 2025 - Feb. 2026
Research Intern
Microsoft Research Asia Collaborative Research | Mar. 2025 - Aug. 2025
Graduate Student Researcher
KRAFTON AI | Mar. 2025 - Aug. 2025
Research Intern
KAIST | Mar. 2023 - Feb. 2025
Technical Research Personnel (Military Service)
SK Hynix - KAIST Open AI Collaboration | Dec. 2020 - Aug. 2021
Graduate Student Researcher
NAVER | Mar. 2019 - Aug. 2019
Research Intern
KAIST | Dec. 2018 - Feb. 2019
Undergraduate Researcher
SK Hynix | Dec. 2017 - Jan. 2018
Research Intern
EDUCATION
EDUCATION
Ph.D. in Electrical Engineering, KAIST | Feb. 2022 - Present
M.S. in Electrical Engineering, KAIST | Feb. 2020 - Feb. 2022 (KAIST EE Fellowship)
B.S. in Electrical Engineering, KAIST | Feb. 2015 - Feb. 2020 (Magna Cum Laude)
Hansung Science High School | Feb. 2013 - Feb. 2015
HONORS
HONORS
Research Breakthroughs (Among 14 top research in Engineering), KAIST | 2024
EE Fellowship (Among 13 in EE department), KAIST | 2020
Graduation with Honors (Magna Cum Laude), KAIST | 2020
Scholarship Recipient, SK Hynix | 2018
Best Research Presentation Award (2nd Place), SK Hynix | 2018
National Science & Technology Scholarship, South Korea | 2015 - 2018
Professional Service
Professional Service
Program Committee | ACM WSDM (2026), IEEE BigComp (2025, 2026), NYU-KAIST Inclusive AI Workshop (2023)
Reviewer | NeurIPS (2025), ICML (2025), AAAI (2026), CoLLAs (2025), TMLR (2025), Artificial Intelligence (2025) / CVPR (2026), BMVC (2025) / ACM SIGKDD (2024, 2025, 2026), ACM TheWebConf (2026), IEEE TKDE (2024, 2025), ACM TKDD (2025)
External Reviewer | NeurIPS (2021) / ACM TheWebConf (2021) / ACM SIGMOD (2022, 2023), VLDB (2021), IEEE ICDE (2021, 2022)
Volunteer | ACM FAccT (2022)
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