publications

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

• 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)
• 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
• 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 Top 5.2% (IF: 7.5)
• 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
• 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
• 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
• 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
• 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 Top 5.2% (IF: 7.5)
• 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)
• 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 Top 5.7% (IF: 6.7)
• 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 Top 5.7% (IF: 6.7)
• 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 Top 5.2% (IF: 7.5)
• 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 Top 5.7% (IF: 6.7)
• 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 Top 5.4% (IF: 8.6)
• 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 Top 5.7% (IF: 6.7)
• 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 Q2 (IF: 2.4)
• 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
• 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 Top 3.3% (IF: 4.7)
• 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
• 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