publications

📝 Here is the comprehensive list of my recent research publications.
📌 For the latest list and citation formats, please visit: Google Scholar .

^* indicates the corresponding author.

• 2026

• [C16]

  Cooperative Multi-Agent Reinforcement Learning for Wind Turbine Control in Renewable Energy

  Dong-Hee Shin, Tae-Eui Kam^*

  International Conference on Consumer Electronic (ICCE), 2026
• [J12]

  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, Tae-Eui Kam^*

  Applied Soft Computing, 2026

  JCR-IF Top 9.1% (IF: 6.6)
• [C15]

  Simple Yet Effective Recipes for Improving Mask Optimization in Semiconductor Lithography

  Young-Han Son, Dong-Hee Shin^*

  International Conference on Semiconductors (ICOS), 2026
• [C14]

  Advancing Molecular Structure Elucidation for Mass Spectrum Interpretation via Cepstral Analysis

  Dong-Hee Shin, Eunjung Jo, Hyun Jung Lee, Hyeonyeong Nam, Tae-Eui Kam^*

  International Conference on Electronics, Information, and Communication (ICEIC), 2026
• [C13]

  Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies

  Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, Tae-Eui Kam^*

  Association for the Advancement of Artificial Intelligence (AAAI), 2026

  Oral presentation

• 2025

• [C12]

  Offline Model-based Optimization for Real-World Molecular Discovery

  Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam^*

  International Conference on Machine Learning (ICML), 2025

  Acceptance rate 26.9% | 3,260 of 12,107 submissions (excluding desk-rejected papers)
• [J11]

  Sharpness-Aware Minimization with Physics-Informed Regularizations for Predicting Semiconductor Material Properties in Molecular Dynamics

  Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*

  Chemometrics and Intelligent Laboratory Systems (CHEMOLAB), 2025

  JCR-IF Top 3.8% (IF: 3.8)
• [C11]

  Diverse Sharpness-Aware Minimization for Machine Learning Force Fields in Semiconductor Simulations

  Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*

  International SoC Design Conference (ISOCC), 2025
• [C10]

  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, Tae-Eui Kam^*

  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025
• [C9]

  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,
  Tae-Eui Kam^*

  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
• [J10]

  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, Tae-Eui Kam^*

  Expert Systems with Applications (ESWA), 2025

  JCR-IF Top 6.1% (IF: 7.5)
• [C8]

  Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects

  Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Tae-Eui Kam^*

  International Conference on Electronics, Information, and Communication (ICEIC), 2025
• [C7]

  Molecular Optimization with Mamba-Based GFlowNet

  Young-Han Son, Dong-Hee Shin, Deok-Joong Lee, Tae-Eui Kam^*

  International Conference on Electronics, Information, and Communication (ICEIC), 2025
• [C6]

  Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning

  Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*

  International Conference on Electronics, Information, and Communication (ICEIC), 2025

• 2024

• [C5]

  Image2SignalNet: Image-based deep learning approach for capturing neuronal signals from calcium imaging

  Eunjung Jo, Dong-Hee Shin, Ji-Hye Oh, Sanghyeon Cho, Hyun Jung Lee, Tae-Eui Kam^*

  International Conference on Bioinformatics and Biomedicine (BIBM), 2024
• [J9]

  A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio–spectral–temporal EEG signal decoding

  Jun-Mo Kim, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam^*

  Expert Systems with Applications (ESWA), 2024

  JCR-IF Top 6.1% (IF: 7.5)
• [C4]

  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, Tae-Eui Kam^*

  International Joint Conference on Artificial Intelligence (IJCAI), 2024

  Lead oral presentation (12 min) | Top 2.2% (128 of 5,651 submissions)
• [J8]

  Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis

  Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*

  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024

  JCR-IF Top 3.7% (IF: 6.8)
• [J7]

  FTMMR: Fusion Transformer for integrating Multiple Molecular Representations

  Young-Han Son, Dong-Hee Shin, Tae-Eui Kam^*

  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024

  JCR-IF Top 3.7% (IF: 6.8)
• [J6]

  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, Tae-Eui Kam^*

  Expert Systems with Applications (ESWA), 2024

  JCR-IF Top 6.1% (IF: 7.5)
• [J5]

  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, Tae-Eui Kam^*

  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024

  JCR-IF Top 3.7% (IF: 6.8)
• [J4]

  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, Tae-Eui Kam^*

  IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC), 2024

  JCR-IF Top 6.2% (IF: 8.7)

• 2023

• [J3]

  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, Tae-Eui Kam^*

  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2023

  JCR-IF Top 5.7% (IF: 6.7)
• [J2]

  Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification

  Da-Hyun Kim, Dong-Hee Shin, Tae-Eui Kam^*

  Frontiers in Human Neuroscience, 2023

  JCR-IF Q2 (IF: 2.4)

• 2022

• [C3]

  GNN-based Antibody Structure Prediction using Quaternion and Euler Angle Combined Representation

  Young-Han Son, Dong-Hee Shin, Ji-Wung Han, Seong-Hyeon Won, Tae-Eui Kam^*

  IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2022
• [J1]

  Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising

  Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam^*

  NeuroImage, 2022

  JCR-IF Top 3.3% (IF: 4.7)
• [C2]

  Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification

  Dong-Hee Shin, Dong-Hee Ko, Ji-Wung Han, Tae-Eui Kam^*

  International Winter Conference on Brain-Computer Interface (BCI), 2022

• 2021

• [C1]

  Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification

  Dong-Hee Ko, Dong-Hee Shin, Tae-Eui Kam^*

  International Winter Conference on Brain-Computer Interface (BCI), 2021