Publication

2026

  1. ICLR </abbr> Workshop
    Structure-Aware Set Transformers: Temporal and Variable-type Attention Biases for Asynchronouse Clinical Time Series
    Joohyung Lee, Kwanhyung Lee, Changhun Kim, and 1 more author
    In 1st ICLR Workshop on Time Series in the Age of Large Models, 2026
    Accepted
    PDF
  2. ICLR </abbr> Workshop
    Status-Aware Self-Supervised Forecasting for Irregular Clinical Time Series
    Kwanhyung Lee, Joohyung Lee, Jong-Heon Kim, and 2 more authors
    In 1st ICLR Workshop on Time Series in the Age of Large Models, 2026
    Accepted
    PDF
  3. ICLR </abbr>
    Soft Equivariance Regularization for Invariant Self-Supervised Learning
    Joohyung Lee, Changhun Kim, Hyunsu Kim, and 2 more authors
    In International Conference on Learning Representations (ICLR), 2026
    Accepted
    PDF Code

2024

  1. ICASSP </abbr>
    Compact and De-Biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification
    Joohyung Lee, Heejeong Nam, Kwanhyung Lee, and 1 more author
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
    PDF

2023

  1. MLHC </abbr>
    Learning Missing Modal Electronic Health Records with Unified Multi-Modal Data Embedding and Modality-Aware Attention
    Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, and 4 more authors
    In Machine Learning for Health (MLHC), 2023
    Spotlight; Corresponding Author and Co-first Author
    PDF Video
  2. ICLR </abbr> Workshop
    Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution
    Kwanhyung Lee, John Won, Heejung Hyun, and 3 more authors
    In ICLR 2023 Trustworthy Machine Learning for Healthcare Workshop, 2023
    Oral Presentation; Corresponding Author; Best Paper Honorable Mention
    PDF Video

2022

  1. MICCAI </abbr>
    Moving from 2D to 3D: Volumetric Medical Image Classification for Rectal Cancer Staging
    Joohyung Lee, Jieun Oh, Inkyu Shin, and 4 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
    PDF Video Code

2019

  1. IEEE Access </abbr>
    Reducing the Model Variance of Rectal Cancer Segmentation Network
    Joohyung Lee, Ji Eun Oh, Min Ju Kim, and 2 more authors
    IEEE Access, 2019
    PDF