Chun-Shu Wei

Orcid: 0000-0002-5259-2015

According to our database1, Chun-Shu Wei authored at least 36 papers between 2011 and 2024.

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Bibliography

2024
Enhancing Low-Density EEG-Based Brain-Computer Interfacing With Similarity-Keeping Knowledge Distillation.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

2023
SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces.
CoRR, 2023

Quantitative Quality Assessment for EEG Data: A Mini Review.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Exploring fNIRS-Based Brain State Recognition and Visualization through the use of Explainable Convolutional Neural Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Delay Analysis in Closed-Loop EEG Phase-Triggered Transcranial Magnetic Stimulation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field.
Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023

2022
Recognizing Tonal and Nontonal Mandarin Sentences for EEG-Based Brain-Computer Interface.
IEEE Trans. Cogn. Dev. Syst., 2022

Toward CNN-Based Motor-Imagery EEG Classification with Fuzzy Fusion.
Int. J. Fuzzy Syst., 2022

Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation.
CoRR, 2022

CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction.
CoRR, 2022

ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation.
CoRR, 2022

MAtt: A Manifold Attention Network for EEG Decoding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Toward EEG-Based Brain State Recognition for Personalized Neuromodulation.
Proceedings of the 15th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2022

Accelerating Brain Research using Explainable Artificial Intelligence.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys.
Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Adjunct Proceedings, Seoul, Republic of Korea, September 17, 2022

2021
Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding.
IEEE J. Biomed. Health Informatics, 2021

Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding.
Frontiers Comput. Neurosci., 2021

Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning.
CoRR, 2021

Normalized Canonical Correlation Analysis for Calibrating the Background EEG Activity in SSVEP Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses.
IEEE Trans. Biomed. Eng., 2020

2019
EEG-Based User Authentication Using a Convolutional Neural Network.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018
A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection.
NeuroImage, 2018

Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface.
CoRR, 2018

Exploring Human Variability in Steady-State Visual Evoked Potentials.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2016
Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis.
Proceedings of the Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, 2016

Transfer learning with large-scale data in brain-computer interfaces.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Selective Transfer Learning for EEG-Based Drowsiness Detection.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Monitoring and Analysis of Multiplicative Characteristic Variations for Adhesive Electrode by Using Self-Electrocardiogram Signals.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Toward non-hair-bearing brain-computer interfaces for neurocognitive lapse detection.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013
A Mobile Brain-Computer Interface for Freely Moving Humans.
Proceedings of the Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 2013

2011
Implementation of a motion sickness evaluation system based on EEG spectrum analysis.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Genetic feature selection in EEG-based motion sickness estimation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

EEG-Based Motion Sickness Estimation Using Principal Component Regression.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Estimating the Level of Motion Sickness Based on EEG Spectra.
Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011


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