Publications

A Novel Topological Deep Learning for EEG Representation: Towards Paradigm-Invariant Brain-Monitoring Intelligence
J. Choe* & Y. Yoon*, W. Ko
In Preparation

Diffusion-Based Multi-Scale fMRI Representation Learning Framework for Cross-Subject Natural Image Reconstruction
C. Park, Y. Kang, M. Cho, W. Ko
In Preparation

Data-oriented Self-supervised Learning Approach on Genetic Pattern Recognition for Cancer of Unknown Primary Diagnosis
Y. Kim, Y. Kang, M. Cho, W. Ko
In Preparation

Unsupervised Latent Context Representation of Electroencephalogram for Label-Efficient Sleep Apnea Screening
Y. Kang, C. Park, Y. Kim, W. Ko
In Preparation

Multi-branch Neural Network Structure for Predicting Lesion Evolution in Diffuse Glioma
M. Cho, C. Park, Y. Kim, W. Ko
In Preparation

A Data-Centric Self-Supervised Learning for Phenotype–Genotype Relation Modeling via Deep Graph Neural Network Architecture
C. Park* & M. Cho*, Y. Kim, W. Jung, W. Ko
IEEE Transactions on Medical Imaging, Under Review

A Novel Topological Deep Learning Framework for Neurodevelopmental Disorder Diagnosis by Multichannel Biosignal Representation
Y. Yoon* & J. Choe*, W. Ko
Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2026), Under Review

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