Wonjun Ko

According to our database, Wonjun Ko authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Efficient Continuous Manifold Learning for Time Series Modeling.

Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2023

Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.

Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk

IEEE Trans. Neural Networks Learn. Syst., February, 2023

TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging.

Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk

IEEE Trans. Cybern., 2023

2022

A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics.

Wonjun Ko, Wonsik Jung, Eunjin Jeon, Heung-Il Suk

IEEE Trans. Medical Imaging, 2022

A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs.

Wonjun Ko, Eunjin Jeon, Heung-Il Suk

IEEE Trans. Ind. Informatics, 2022

Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging.

Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk

Proceedings of the IEEE International Conference on Acoustics, 2022

EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation.

Wonjun Ko, Heung-Il Suk

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Continuous Riemannian Geometric Learning for Sleep Staging Classification.

Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk

Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021

Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex.

Byoung-Kyong Min, Hyun Seok Kim, Wonjun Ko, Min-Hee Ahn, Heung-Il Suk, Dimitrios Pantazis, Robert T. Knight

NeuroImage, 2021

A unified framework for personalized regions selection and functional relation modeling for early MCI identification.

Jiyeon Lee, Wonjun Ko, Eunsong Kang, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative

NeuroImage, 2021

Efficient Continuous Manifold Learning for Time Series Modeling.

Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk

CoRR, 2021

Multi-Scale Neural Network for EEG Representation Learning in BCI.

Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk

IEEE Comput. Intell. Mag., 2021

ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding.

Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk

Proceedings of the IEEE International Conference on Data Mining, 2021

Fine-grained Temporal Attention Network for EEG-based Seizure Detection.

Seungwoo Jeong, Eunjin Jeon, Wonjun Ko, Heung-Il Suk

Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition.

Wonjun Ko, Eunjin Jeon, Heung-Il Suk

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020

VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation.

Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk

Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020

2019

Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator.

Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk

CoRR, 2019

Plug-in Factorization for Latent Representation Disentanglement.

Jee Seok Yoon, Wonjun Ko, Heung-Il Suk

CoRR, 2019

Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface.

Wonjun Ko, Eunjin Jeon, Jiyeon Lee, Heung-Il Suk

Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Domain Adaptation with Source Selection for Motor-Imagery based BCI.

Eunjin Jeon, Wonjun Ko, Heung-Il Suk

Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2018

Deep recurrent spatio-temporal neural network for motor imagery based BCI.

Wonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk

Proceedings of the 6th International Conference on Brain-Computer Interface, 2018