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ORCIDWonjun Ko
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2020 – today
- 2024
[j9]Seungwoo Jeong
, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Deep Efficient Continuous Manifold Learning for Time Series Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 171-184 (2024)- [j8]Wonjun Ko, Seungwoo Jeong, Sa-Kwang Song, Heung-Il Suk:
EEG-Oriented Self-Supervised Learning With Triple Information Pathways Network. IEEE Trans. Cybern. 54(11): 6495-6508 (2024) - 2023
- [j7]Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk:
TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging. IEEE Trans. Cybern. 53(7): 4500-4510 (2023) - [j6]Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk:
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI. IEEE Trans. Neural Networks Learn. Syst. 34(2): 739-749 (2023) - 2022
- [j5]Wonjun Ko, Eunjin Jeon, Heung-Il Suk:
A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs. IEEE Trans. Ind. Informatics 18(3): 1873-1882 (2022) - [j4]Wonjun Ko, Wonsik Jung, Eunjin Jeon, Heung-Il Suk:
A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics. IEEE Trans. Medical Imaging 41(9): 2348-2359 (2022) - [c10]Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Continuous Riemannian Geometric Learning for Sleep Staging Classification. BCI 2022: 1-2 - [c9]Wonjun Ko, Heung-Il Suk:
EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation. CIKM 2022: 4143-4147 - [c8]Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk:
Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging. ICASSP 2022: 1301-1305 - [i6]Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk:
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging. CoRR abs/2203.12590 (2022) - 2021
- [j3]Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk:
Multi-Scale Neural Network for EEG Representation Learning in BCI. IEEE Comput. Intell. Mag. 16(2): 31-45 (2021) - [j2]Jiyeon Lee, Wonjun Ko, Eunsong Kang, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative:
A unified framework for personalized regions selection and functional relation modeling for early MCI identification. NeuroImage 236: 118048 (2021) - [j1]Byoung-Kyong Min, Hyun Seok Kim, Wonjun Ko, Min-Hee Ahn, Heung-Il Suk, Dimitrios Pantazis, Robert T. Knight:
Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex. NeuroImage 237: 118165 (2021) - [c7]Wonjun Ko, Eunjin Jeon, Heung-Il Suk:
Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition. ACPR (2) 2021: 335-346 - [c6]Seungwoo Jeong, Eunjin Jeon, Wonjun Ko, Heung-Il Suk:
Fine-grained Temporal Attention Network for EEG-based Seizure Detection. BCI 2021: 1-4 - [c5]Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk:
ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. ICDM 2021: 1162-1167 - [i5]Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Efficient Continuous Manifold Learning for Time Series Modeling. CoRR abs/2112.03379 (2021) - 2020
- [c4]Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk:
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. BCI 2020: 1-3 - [i4]Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk:
Multi-Scale Neural network for EEG Representation Learning in BCI. CoRR abs/2003.02657 (2020) - [i3]Wonjun Ko, Eunjin Jeon, Heung-Il Suk:
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs. CoRR abs/2007.00162 (2020)
2010 – 2019
- 2019
- [c3]Eunjin Jeon, Wonjun Ko, Heung-Il Suk:
Domain Adaptation with Source Selection for Motor-Imagery based BCI. BCI 2019: 1-4 - [c2]Wonjun Ko, Eunjin Jeon, Jiyeon Lee, Heung-Il Suk:
Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface. BCI 2019: 1-4 - [i2]Jee Seok Yoon, Wonjun Ko, Heung-Il Suk:
Plug-in Factorization for Latent Representation Disentanglement. CoRR abs/1905.11088 (2019) - [i1]Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk:
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator. CoRR abs/1910.07747 (2019) - 2018
- [c1]Wonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk:
Deep recurrent spatio-temporal neural network for motor imagery based BCI. BCI 2018: 1-3
Coauthor Index
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