Wonjun Ko

Orcid: 0000-0001-7496-9007

According to our database1, Wonjun Ko authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
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2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
EEG-Oriented Self-Supervised Learning With Triple Information Pathways Network.
IEEE Trans. Cybern., November, 2024

Deep Efficient Continuous Manifold Learning for Time Series Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2023
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging.
IEEE Trans. Cybern., 2023

2022
A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics.
IEEE Trans. Medical Imaging, 2022

A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs.
IEEE Trans. Ind. Informatics, 2022

Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging.
Proceedings of the IEEE International Conference on Acoustics, 2022

EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Continuous Riemannian Geometric Learning for Sleep Staging Classification.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021
Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex.
NeuroImage, 2021

A unified framework for personalized regions selection and functional relation modeling for early MCI identification.
NeuroImage, 2021

Efficient Continuous Manifold Learning for Time Series Modeling.
CoRR, 2021

Multi-Scale Neural Network for EEG Representation Learning in BCI.
IEEE Comput. Intell. Mag., 2021

ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2021

Fine-grained Temporal Attention Network for EEG-based Seizure Detection.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation.
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.
CoRR, 2019

Plug-in Factorization for Latent Representation Disentanglement.
CoRR, 2019

Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Domain Adaptation with Source Selection for Motor-Imagery based BCI.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2018
Deep recurrent spatio-temporal neural network for motor imagery based BCI.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018


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