Pattern Recognition &
Intelligent System Modeling Lab
Research Interests
Machine Learning
Bayesian Deep Learning
Topological Deep Learning
Industrial Artificial Intelligence
Biomedical Data AnalyticsÂ
Selected Publications and Proceedings
EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation
W. Ko and H.-I. Suk
ACM Int'l Conference on Information and Knowledge Management, 2022
CIKM2022 Acceptance Rate: 27.51%
A Deep Generative-Discriminative Learning for Multi-modal Representation Learning in Imaging Genetics
W. Ko, W. Jung, E. Jeon, and H.-I. Suk
IEEE Transactions on Medical Imaging, 2022
2020-JCR-IF: 10.048, Radiology-Nuclear Medicine & Medical Imaging: 4/133
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
W. Ko, E. Jeon, and H.-I. Suk
IEEE Transactions on Industrial Informatics, 2022
2020-JCR-IF: 10.215, Engineering-Industrial: 3/111
ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding
W. Ko, W. Jung, A. W. Mulyadi, and H.-I. Suk
IEEE Int'l Conference on Data Mining, 2021
ICDM2021 Acceptance Rate: 20.0%
Multi-Scale Neuarl Network for EEG Representation Learning in BCI
W. Ko, E. Jeon, S. Jeong, and H.-I. Suk
IEEE Computational Intelligence Magazine, 2021
2020-JCR-IF: 11.356, Computer Science-Artificial Intelligence: 7/140