publications

* Corresponding author

International Journal

  1. CUE: A Chemical Uncertainty-Aware Embedding Framework for Multi-modal Drug Selectivity Prediction
    Jin Hyuk Kim, Gyeong Hwan Kim, Hyeon Jun Park, Jonghwan Choi*
    (Under review) 2026
  2. The Journal of Supercomputing
    OCSAug: Diffusion-based Optical Chemical Structure Data Augmentation for Improved Hand-drawn Chemical Structure Image Recognition
    Jin Hyuk Kim Jonghwan Choi*
    The Journal of Supercomputing 2025

International Conference

  1. AI4Sci Korea
    Agentic Multi-objective Molecular Optimization via Dynamic Routing of Property-specific Editor Networks
    Jin Hyuk Kim Jonghwan Choi*
    AI4Sci Conference Korea, (Accepted) 2026

Domestic Journal

  1. KTCP
    A Study on Semantic Molecular Prompt Engineering Method for Large Language Model-based Molecular Property Prediction
    Tae Woong Song, Jin Hyuk Kim, Hyun Jun Park, Jonghwan Choi*
    KIISE Transactions on Computing Practices (KTCP) 2026
  2. JOK
    Pretrained Large Language Model-based Drug-Target Binding Affinity Prediction for Mutated Proteins
    Tae Woong Song, Jin Hyuk Kim, Hyun Jun Park, Jonghwan Choi*
    Journal of KIISE (JOK) 2025

Domestic Conference

  1. KCC
    A Study on Molecular Prompt Engineering Method for Large Language Model-based Molecular Property Prediction
    Tae Woong Song, Jin Hyuk Kim, Hyun Jun Park, Jonghwan Choi*
    Korea Computer Congress (KCC), Poster 2025

    Outstanding Presentation Paper Award

  2. KCC
    M-WPDTA: Mutation-Aware Drug-Target Affinity Prediction with Wildtype Referenced Dual-Encoder Modeling
    Hyun Jun Park, Jin Hyuk Kim, Tae Woong Song, Jonghwan Choi*
    Korea Computer Congress (KCC), Poster 2025
  3. ASK
    A Study on DDPM-based Molecular Generation and Semi-Supervised Learning for Improving the Performance of Optical Chemical Structure Recognition
    Jin Hyuk Kim, Tae Woong Song, Jonghwan Choi*
    Annual Symposium of KIPS (ASK), Oral 2024