바로가기 메뉴
본문 바로가기
푸터 바로가기
TOP

 

Ph. D. Student
이경선

Kyungseon Lee

학과 통계학과

전공 Anomaly Detection, Fairness

이메일 ppleeqq@snu.ac.kr

Academic Experience

    Ph.D. in Statistics, Seoul National University, Korea, 2024–Present M.S. in Statistics, Seoul National University, Korea, 2022–2024 B.S. in Advanced Materials Engineering & Applied Mathematics, Kyung Hee University, Korea, 2016–2021

Research Experience

    Kunwoong Kim, Kyungseon Lee, Jihu Lee, Dongyoon Yang, Yongdai Kim (2026). Doubly-Regressing Approach for Subgroup Fairness. ICLR 2026.
    Kyungseon Lee, Jongjin Lee, Insung Kong and Yongdai Kim. (2025). On the use of supervised anomaly detection algorithms for extremely imbalanced data. Journal of the Korean Statistical Society.