| Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification DH Kim, DH Shin, TE Kam Frontiers in Human Neuroscience 17, 1194751, 2023 | 7 | 2023 |
| Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising KS Heo, DH Shin, SC Hung, W Lin, H Zhang, D Shen, TE Kam NeuroImage 254, 119127, 2022 | 6 | 2022 |
| Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification DH Ko, DH Shin, TE Kam 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2021 | 6 | 2021 |
| Evolutionary reinforcement learning for automated hyperparameter optimization in EEG classification DH Shin, DH Ko, JW Han, TE Kam 2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-5, 2022 | 5 | 2022 |
| Graph-based conditional generative adversarial networks for major depressive disorder diagnosis with synthetic functional brain network generation JH Oh, DJ Lee, CH Ji, DH Shin, JW Han, YH Son, TE Kam IEEE Journal of Biomedical and Health Informatics, 2023 | 3 | 2023 |
| GNN-based antibody structure prediction using quaternion and euler angle combined representation YH Son, DH Shin, JW Han, SH Won, TE Kam 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2022 | 3 | 2022 |
| MARS: Multiagent reinforcement learning for spatial–spectral and temporal feature selection in EEG-based BCI DH Shin, YH Son, JM Kim, HJ Ahn, JH Seo, CH Ji, JW Han, BJ Lee, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 2 | 2024 |
| A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio–spectral–temporal EEG signal decoding JM Kim, KS Heo, DH Shin, H Nam, DO Won, JH Jeong, TE Kam Expert Systems with Applications 251, 123975, 2024 | 1 | 2024 |
| Meta-eeg: Meta-learning-based class-relevant eeg representation learning for zero-calibration brain–computer interfaces JW Han, S Bak, JM Kim, WH Choi, DH Shin, YH Son, TE Kam Expert Systems with Applications 238, 121986, 2024 | 1 | 2024 |
| Sparse Graph Representation Learning based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis CH Ji, DH Shin, YH Son, TE Kam IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations YH Son, DH Shin, TE Kam IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis DJ Lee, DH Shin, YH Son, JW Han, JH Oh, DH Kim, JH Jeong, TE Kam IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| Population-Based Evolutionary Search for Joint Hyperparameter and Architecture Optimization in Brain-Computer Interface DH Shin, DJ Lee, JW Han, YH Son, TE Kam Available at SSRN 4857341, 0 | | |
| DyMol: Dynamic Many-Objective Molecular Optimization with Objective Decomposition and Progressive Optimization DH Shin, YH Son, DJ Lee, JW Han, TE Kam ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 0 | | |
TAE-EUI KAMDepartment of Artificial Intelligence, Korea University在 korea.ac.kr 的电子邮件经过验证
