Hello, I am a Ph.D. student of Applied Artificial Intelligence Lab (Prof. Il-Chul Moon) @ KAIST, ISE.
About me: [CV] [LinkedIn] [Google Scholar]
Contact me: cat2507 [at] kaist [dot] ac [dot] kr // baeheesun96 [at] gmail [dot] com
Research Interest
* S for Selected Publications. C for Conference, J for Journal, W for Workshop
Robust & Reliable Machine Learning. [S1, S2, S3, C6, C7, J1, W2]
Data-Centric AI & Efficient Learning. [S1, S2, S3, C5, C8, C9]
Generative Models & LLMs. [C1, C2, C3, C4, C5, C7, W1]
Selected Publications (For a complete list, please visit [Publications] Tab)
[S1] Likelihood Ratio Aware Data Selection for Preference Learning
Under Review
Heesun Bae, Mina Kang, Sumin Lee, Byeonghu Na and Il-Chul Moon
[S2] Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024 (The Twelfth International Conference on Learning Representations)
Heesun Bae, Seungjae Shin, Byeonghu Na and Il-Chul Moon
[S3] From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative ModelÂ
ICML 2022 (The Thirty-ninth International Conference on Machine Learning)
Heesun Bae*, Seungjae Shin*, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
Education
Ph.D. Candidate in Industrial Engineering, KAIST (2022.03 - present)
Advisor: Prof. Il-Chul Moon | Expected Graduation: 2026.08
M.S. in Industrial Engineering, KAIST (2020.03 - 2022.02)
B.S. in Industrial Engineering, KAIST (2015.03 - 2020.02)
Selected Awards
Winner, Qualcomm Innovation Fellowship Korea 2023
Winner, Qualcomm Innovation Fellowship Korea 2022
Experience
Research Internship, NAVER (2023.08~2023.11)
Offline Teaching Assistant, Introduction to Modeling and Simulation [IE363] (2022.03-2022.06)
Online Teaching Assistant, Course management at KAIST Massive Open Online Course (KOOC) (2021.01-2025.12)
last update: 9th, Mar, 2026