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 (IJCAI, 2024)

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 J. Biomed. Health Informatics, 2024)

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 005; Ji-Hoon Jeong; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning. - Deok-Joong Lee; Dong-Hee Shin; Young-Han Son; Tae-Eui Kam (ICEIC, 2025)

Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects. - Dong-Hee Shin; Young-Han Son; Deok-Joong Lee; Tae-Eui Kam (ICEIC, 2025)

Molecular Optimization with Mamba-Based GFlowNet. - Young-Han Son; Dong-Hee Shin; Deok-Joong Lee; Tae-Eui Kam (ICEIC, 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 Syst. Appl., 2025)