Publications

2026

  1. CVPR
    Optical Diffraction-based Convolution for Semiconductor Lithography
    Young-Han Son, Dong-Hee Shin, Deok-Joong Lee, Hyun Jung Lee, and Tae-Eui Kam
    Proceedings of the Computer Vision and Pattern Recognition Conference, 2026
  2. ICOS
    Simple Yet Effective Recipes for Improving Mask Optimization in Semiconductor Lithography
    Young-Han Son and Dong-Hee Shin
    2026 International Conference on Semiconductors (ICOS), 2026

2025

  1. Appl. Soft Comput.
    Source-driven enhanced semantic style transfer for addressing BCI illiteracy in subject-independent EEG-based motor imagery classification
    Ji-Wung Han, Dong-Hee Shin, Chang-Hoon Ji, Deok-Joong Lee, Jun-Mo Kim, WooHyeok Choi, Ji-Hye Oh, Sanghyeon Cho, Young-Han Son, and Tae-Eui Kam
    Applied Soft Computing, 2025
  2. MICCAI
    Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
    Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Young-Han Son, Bogyeong Kang, Hyeonyeong Nam, Ji-Hoon Jeong, Dong-Hee Shin, and Tae-Eui Kam
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025
  3. AAAI
    Treatment Stitching with Schr\backslash" odinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies
    Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, and Tae-Eui Kam
    Proceedings of the AAAI Conference on Artificial Intelligence, 2025
  4. ISOCC
    Diverse Sharpness-Aware Minimization for Machine Learning Force Fields in Semiconductor Simulations
    Dong-Hee Shin, Young-Han Son, and Tae-Eui Kam
    In 2025 22nd International SoC Design Conference (ISOCC), 2025
  5. ChemoLab
    Sharpness-aware minimization with physics-informed regularizations for predicting semiconductor material properties in molecular dynamics
    Dong-Hee Shin, Young-Han Son, and Tae-Eui Kam
    Chemometrics and Intelligent Laboratory Systems, 2025
  6. ICML
    Offline Model-based Optimization for Real-World Molecular Discovery
    Dong-Hee Shin*, Young-Han Son*, Hyung Jung Lee, Deok-Joong Lee, and Tae-Eui Kam
    International Conference on Machine Learning (ICML), 2025
  7. ESWA
    Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface
    Dong-Hee Shin, Deok-Joong Lee, Ji-Wung Han, Young-Han Son, and Tae-Eui Kam
    Expert Systems with Applications, 2025
  8. ICEIC
    Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects
    Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, and Tae-Eui Kam
    2025 International Conference on Electronics, Information, and Communication (ICEIC), 2025
  9. ICEIC
    Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning
    Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, and Tae-Eui Kam
    2025 International Conference on Electronics, Information, and Communication (ICEIC), 2025
  10. ICEIC
    Molecular Optimization with Mamba-Based GFlowNet
    Young-Han Son, Dong-Hee Shin, Deok-Joong Lee, and Tae-Eui Kam
    2025 International Conference on Electronics, Information, and Communication (ICEIC), 2025
  11. CVPR
    DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
    Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin, Young-Han Son, Ji-Hye Oh, and Tae-Eui Kam
    Proceedings of the Computer Vision and Pattern Recognition Conference, 2025

2024

  1. IJCAI Long
    Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization
    Dong-Hee Shin*, Young-Han Son*, Deok-Joong Lee, Ji-Wung Han, and Tae-Eui Kam
    International Joint Conference on Artificial Intelligence (IJCAI), 2024
  2. IEEE JBHI
    FTMMR: Fusion transformer for integrating multiple molecular representations
    Young-Han Son*, Dong-Hee Shin*, and Tae-Eui Kam
    IEEE Journal of Biomedical and Health Informatics, 2024
  3. IEEE TSMC
    MARS: multiagent reinforcement learning for spatial—spectral and temporal feature selection in EEG-based BCI
    Dong-Hee Shin*, Young-Han Son*, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, and Tae-Eui Kam
    IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024
  4. ESWA
    META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces
    Ji-Wung Han, Soyeon Bak, Jun-Mo Kim, WooHyeok Choi, Dong-Hee Shin, Young-Han Son, and Tae-Eui Kam
    Expert Systems with Applications, 2024
  5. IEEE JBHI
    Spectral graph neural network-based multi-atlas brain network fusion for major depressive disorder diagnosis
    Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Ji-Wung Han, Ji-Hye Oh, Da-Hyun Kim, Ji-Hoon Jeong, and Tae-Eui Kam
    IEEE Journal of Biomedical and Health Informatics, 2024
  6. IEEE JBHI
    Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis
    Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, and Tae-Eui Kam
    IEEE Journal of Biomedical and Health Informatics, 2024
  7. ICLR GEM
    DyMol: Dynamic Many-Objective Molecular Optimization with Objective Decomposition and Progressive Optimization
    Dong-Hee Shin*, Young-Han Son*, Ji-Wung Han, and Tae-Eui Kam
    ICLR 2024 Workshop on Generative and Experimental Perspectives for Biomolecular Design, 2024

2023

  1. IEEE JBHI
    Graph-based conditional generative adversarial networks for major depressive disorder diagnosis with synthetic functional brain network generation
    Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, and Tae-Eui Kam
    IEEE Journal of Biomedical and Health Informatics, 2023

2022

  1. ICCE-Asia
    GNN-based antibody structure prediction using quaternion and euler angle combined representation
    Young-Han Son*, Dong-Hee Shin*, Ji-Wung Han, Seong-Hyeon Won, and Tae-Eui Kam
    2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2022