About

I am a Ph.D. student in Artificial Intelligence at the Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Eunho Yang, and a member of the Machine Learning & Intelligence Lab (MLILAB). I received B.S. in Mathematical Sciences and Artificial Intelligence from Seoul National University in 2024. My current research interests include machine learning methods for time series data, explainable AI for time series, and multimodal reasoning and generation.

News

  • [2026.02] One paper accepted to CVPR 2026.
  • [2026.01] One paper accepted to ICLR 2026.
  • [2025.05] One paper accepted to ICML 2025 (Spotlight).

Publications

  • ReviewScore: Misinformed Peer Review Detection with Large Language Models
    Hyun Ryu, Doohyuk Jang, Hyemin S. Lee, Joonhyun Jeong, Gyeongman Kim, Donghyeon Cho, Gyouk Chu, Minyeong Hwang, Hyeongwon Jang, Changhun Kim, Hae Chan Kim, Jina Kim, Joowon Kim, Yoonjeon Kim, Kwanhyung Lee, Chanjae Park, Heecheol Yun, Gregor Betz, Eunho Yang
    Preprint
    Paper

  • Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation
    Joonhyung Park*, Hyeongwon Jang*, Joowon Kim, Eunho Yang (*: equal contribution)
    CVPR 2026
    Paper · Project Page

  • Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
    Changhun Kim*, Yechan Mun*, Hyeongwon Jang, Eunseo Lee, Sangchul Hahn, Eunho Yang (*: equal contribution)
    ICLR 2026
    Paper

  • TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
    Hyeongwon Jang*, Changhun Kim*, Eunho Yang (*: equal contribution)
    ICML 2025 (Spotlight Presentation, 313/12107 = 2.6%)
    Paper · Code

  • Time Series Classification with Large Language Models via Linguistic Scaffolding
    Hyeongwon Jang*, June Yong Yang*, Jaeryong Hwang, Eunho Yang (*: equal contribution)
    IEEE Access 2024
    Paper

  • Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
    June Yong Yang*, Geondo Park*, Joowon Kim, Hyeongwon Jang, Eunho Yang (*: equal contribution)
    ICLR 2024
    Paper

Education

  • Korea Advanced Institute of Science and Technology (KAIST)
    Ph.D. Student in Artificial Intelligence (Integrated M.S.-Ph.D. Program) Advisor: Prof. Eunho Yang
    Sep. 2024 – Present

  • Seoul National University (SNU)
    B.S. in Mathematical Sciences, Artificial Intelligence (Double Major)
    Mar. 2021 – Aug. 2024

Experience

  • AITRICS – Virtual Doctor Team, Seoul, South Korea
    Research Intern
    Nov. 2024 – Dec. 2024

  • KAIST Machine Learning & Intelligence Lab (MLILAB), Daejeon, South Korea
    Undergraduate Research Intern
    Advisor: Prof. Eunho Yang
    Jun. 2023 – Aug. 2024

Honors & Awards

  • Travel Award, International Conference on Machine Learning (ICML), 2025
  • Summa Cum Laude, Seoul National University, 2024
  • Hansung Scholarship, 2020

Invited Talks

  • TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
    Samsung AI Forum (SAIF) 2025 — Sep. 2025
    CIKM 2025 Workshop on Human-Centric AI, Oral Presentation — Oct. 2025