publications

Reverse chronological order. * equal contribution · † corresponding author.

2026

  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 Transparent Time Series Analysis: Exploring Methods and Enhancing Interpretability
    Youngjin Park, Anh Tong, Sehyun Lee, Jihyeon Seong, Qin Xie, and Jaesik Choi†
    ACM Computing Surveys. Role: wrote “Limitation of XAI in Time Series” , 2026

2025

  1. Validation of an Acute Kidney Injury Prediction Model as a Clinical Decision Support System
    Giae Yun*, Jinyeong Yi*, Sangyub Han, Jihyeon Seong, Enver Menadjiev, Hyunkyung Han, Jaesik Choi, Ji Hyun Kim, and Sejoong Kim†
    Kidney Research and Clinical Practice. Role: model development, software, data curation, methodology , 2025

2024

  1. 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
  2. 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
  3. BigComp
    CardioCaps: Attention-Based Capsule Network for Class-Imbalanced Echocardiogram Classification
    Hyunkyung Han*, Jihyeon Seong*, and Jaesik Choi†
    In IEEE International Conference on Big Data and Smart Computing (BigComp), 2024