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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
A Robust Data-centric Anti-Cheat Framework for Fair Competitive Gaming
[Paper]
Minsu Kim, Junwoo Park, Chanho Lee, Gibum Seo, Steven Euijong Whang, and Hyuck Lee
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
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), NYU-KAIST Inclusive AI Workshop (2023)
Reviewer | NeurIPS (2025), ACM SIGKDD (2024, 2025, 2026), Artificial Intelligence (2025), IEEE TKDE (2024, 2025), ACM TKDD (2025), CoLLAs (2025), BMVC (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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