Jihyeon Seong

Ph.D. student, Kim Jaechul Graduate School of AI, KAIST.

Kim Jaechul Graduate School of AI

KAIST

jihyeon.seong@kaist.ac.kr

I am a Ph.D. student in Artificial Intelligence at the Kim Jaechul Graduate School of AI, KAIST. I received my M.S. in Artificial Intelligence from KAIST AI and my B.S. in Computer Engineering from Ewha Womans University.

My current research is on uncertainty quantification under distribution shift, time-series representation learning under change points, and explainable AI for clinical decision support.

I also work on applied problems with partners outside the lab: acute kidney injury prediction with Seoul National University Bundang Hospital, and time-series problems in industry with Samsung Device Solutions, HiDeep, and POSCO.

On the blog I keep notes on what I am studying and on the papers I read.

latest posts

selected publications

  1. DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
    Enver Menadjiev*, Jihyeon Seong*, Jisu Yeo, and Jaesik Choi†
    In International Conference on Machine Learning (ICML), 2026
  2. Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
    Jihyeon Seong, Sekwang Oh, and Jaesik Choi†
    In International Joint Conference on Artificial Intelligence (IJCAI), 2024
  3. Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
    Jihyeon Seong*, Jungmin Kim*, and Jaesik Choi†
    In AAAI Conference on Artificial Intelligence (AAAI), 2024