J. Lee, T. Yoon, W. Koo, H. Kim. “Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes.” IEEE Transactions on Automation Science and Engineering, 2026. [Paper] [Code]
Jaeyeong Lee
Ph.D. Candidate, Industrial & Systems Engineering, KAIST
dlwodud116@kaist.ac.kr · Homepage · Google Scholar · GitHub · LinkedIn
Daejeon, Republic of Korea
Education
Feb. 2024 - Present
KAIST | Ph.D. Candidate in Industrial & Systems Engineering
Advisor: Prof. Heeyoung Kim
Mar. 2022 - Feb. 2024
KAIST | M.S. in Industrial & Systems Engineering
Advisor: Prof. Heeyoung Kim
Mar. 2016 - Feb. 2022
KAIST | B.S. in Mathematical Sciences / Computer Science
Research Interests
Bayesian Deep Learning: Bayesian Neural Networks, Function-Space Priors, Uncertainty Quantification, Bayesian Learning Theory
Bayesian Nonparametrics: Gaussian Processes, Nonparametric Priors, Posterior Contraction, Asymptotic Theory
Stochastic Systems: Stochastic Processes, Time Series, Spatio-Temporal Processes, Continuous-Time Dynamics
Publications
Journal Article
Peer-Reviewed Conference Proceedings
J. Lee, H. Kim. “Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics.” Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI 2026), PMLR 337:3355-3375. [Paper] [Code]
W. Koo, J. Lee, T. Yoon, H. Kim. “GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection.” 35th ACM International Conference on Information and Knowledge Management (CIKM 2026), accepted.
J. Lee, W. Koo, H. Kim. “Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction.” Proceedings of the 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE 2026), to appear.
Manuscript in Preparation
J. Lee, H. Kim. “Function-Space Priors for Bayesian Neural Networks via Entropic Lifting and PAC-Bayes Selection.” In preparation for submission to ICLR 2027.
Talks & Presentations
International
J. Lee, T. Yoon, W. Koo, and H. Kim, “Knowledge-Assisted Multi-Graph Structure Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes,” INFORMS Annual Meeting, Atlanta, Georgia, Oct. 26-29, 2025. (Invited Talk)
Domestic
이재영, 김희영, “불규칙 시공간 데이터 예측을 위한 베이지안 연속 동적 모델,” 대한산업공학회 추계학술대회, 대전, 2025.
이재영, 구원모, 김희영, “다단계 산업 공정 이상탐지를 위한 지식 보조 다중 그래프 구조 학습,” 대한산업공학회 추계학술대회, 서울, 2024.