Publications

A Novel Self-Supervised Deep Learning Framework for Pattern Recognition of Neurodegenerative Disease via Graph-based Phenotype–Genotype Relation Modeling
C. Park* & M. Cho*, Y. Kim, W. Jung, W. Ko
Proc. 41st ACM/SIGAPP Symposium on Applied Computing (SAC2026)

SLEEP-SAFE: Self-supevised Learning for Estimating Electroencephalogram Patterns with Structural Analysis of Fatigue Evidence
W. Ko, J Choe, J. Kang
IEEE Access 13 (2025)

EEG-Oriented Self-Supervised Learning with Triple Information Pathways Network
W. Ko, S. Jeong, S.-K. Song, H.-I. Suk
IEEE Transactions on Cybernetics 54, 11 (2024)

Deep Efficient Continuous Manifold Learning for Time Series Modeling
S. Jeong, W. Ko, A. W. Mulyadi, H.-I. Suk
IEEE Transactions on Pattern Analysis and Machine Intelligence 46, 1 (2024)

Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
J. Phyo, W. Ko, E. Jeon, H.-I. Suk
IEEE Transactions on Cybernetics 53, 7 (2023)

Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI
E. Jeon, W. Ko, J. S. Yoon, H.-I. Suk
IEEE Transactions on Neural Networks and Learning Systems 34, 2 (2023)

A Deep Generative-Discriminative Learning for Multi-modal Representation in Imaging Genetics
W. Ko, W. Jung, E. Jeon, H.-I. Suk
IEEE Transactions on Medical Imaging 41, 9 (2022)

Semi-Supervised Generative and Discriminative Adversarial Learning for Motor Imagery-based Brain-Computer Interface
W. Ko, E. Jeon, J. S. Yoon, H.-I. Suk
Scientific Reports 12 (2022)

EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation
W. Ko, H.-I. Suk
Proc. 31st ACM International Conference on Information and Knowledge Management (CIKM)

Enhancing Contextual Encoding with Stage-Confusion and Stage-Transition Estimation for EEG-based Sleep Staging
J. Phyo, W. Ko, E. Jeon, H.-I. Suk
Proc. 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Continuous Riemannian Geometric Learning for Sleep Staging Classification
S. Jeong, W. Ko, A. W. Mulyadi, H.-I. Suk
Proc. 10th International Winter Conference on Brain-Computer Interface (BCI)

A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
W. Ko, E. Jeon, H.-I. Suk
IEEE Transactions on Industrial Informatics 18, 3 (2022)

ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding
W. Ko, W. Jung, A. W. Mulyadi, E. Jeon, H.-I. Suk
Proc. 21st IEEE International Conference on Data Mining (ICDM)

Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition
W. Ko, E. Jeon, H.-I. Suk
Proc. 6th Asian Conference on Pattern Recognition (ACPR)

Fine-grained Temporal Attention Network for EEG-based Seizure Detection
S. Jeong, E. Jeon, W. Ko, H.-I. Suk
Proc. 9th International Winter Conference on Brain-Computer Interface (BCI)

A Survey on Deep Learning-based Short/Zero-calibration Approaches for EEG-based Brain-Computer Interfaces
W. Ko* & E. Jeon*, S. Jeong, J. Phyo, H.-I. Suk
Frontiers in Human Neuroscience 15 (2021)

Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex
B.-K. Min, H.-S. Kim, W. Ko, M.-H. Ahn, H.-I. Suk, D. Pantazis, R. T. Knight
NeuroImage 237 (2021)

A Unified Framework for Personalized Regions Selection and Functional Relation Modeling for Early MCI Identification
J. Lee* & W. Ko*, E. Kang, H.-I. Suk
NeuroImage 236 (2021)

Multi-Scale Neural Network for EEG Representation Learning in BCI
W. Ko, E. Jeon, S. Jeong, H.-I. Suk
IEEE Computational Intelligence Magazine 16 (2021)

VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation
W. Ko, K. Oh, E. Jeon, H.-I. Suk
Proc. 8th International Winter Conference on Brain-Computer Interface (BCI)

Domain Adaptation with Source Selection for Motor-Imagery based BCI
E. Jeon, W. Ko, H.-I. Suk
Proc. 7th International Winter Conference on Brain-Computer Interface (BCI)

Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface
W. Ko, E. Jeon, J. Lee, H.-I. Suk
Proc. 7th International Winter Conference on Brain-Computer Interface (BCI)

Deep Recurrent Spatio-Temporal Neural Network for Motor Imagery based BCI
W. Ko, J. S. Yoon, E. Kang, E. Jun, J.-S. Choi, H.-I. Suk
Proc. 6th International Winter Conference on Brain-Computer Interface (BCI)

고원준, 박찬미, 조민서, 김연지
그래프 기반 표현형-유전형 관계 모델링을 이용한 자기지도 학습 기반 신경퇴행성 질환 패턴 인식 방법
출원번호: 10-2025-0201986, 출원일자: 2025.12.17

고원준, 최정원, 윤여빈
다중채널 뇌전도 신호 기반 신경발달장애 진단 시스템
출원번호: 10-2025-0201060, 출원일자: 2025.12.16

고원준, 강종구, 최정원
뇌전도 신호를 이용한 자기지도학습 기반 피로 상태 추정 학습 모델 구축 방법 및 이를 이용한 피로 상태 추정 장치
출원번호: 10-2025-0190652, 출원일자: 2025.12.04

석흥일, 고원준
딥러닝 기반 유전자형-표현형 데이터 분석 및 질병 진단 방법 및 장치
등록번호: 10-2747717, 등록일자: 2024.12.24