Estimating the Level of Motion Sickness Based on EEG Spectra. - Li-Wei Ko; Chun-Shu Wei; Tzyy-Ping Jung; Chin-Teng Lin (HCI (20), 2011)

EEG-Based Motion Sickness Estimation Using Principal Component Regression. - Li-Wei Ko; Chun-Shu Wei; Shi-An Chen; Chin-Teng Lin (ICONIP (1), 2011)

Genetic feature selection in EEG-based motion sickness estimation. - Chun-Shu Wei; Li-Wei Ko; Shang-Wen Chuang; Tzyy-Ping Jung; Chin-Teng Lin (IJCNN, 2011)

Implementation of a motion sickness evaluation system based on EEG spectrum analysis. - Chun-Shu Wei; Shang-Wen Chuang; Wan-Ru Wang; Li-Wei Ko; Tzyy-Ping Jung; Chin-Teng Lin (ISCAS, 2011)

A Mobile Brain-Computer Interface for Freely Moving Humans. - Yuan-Pin Lin; Yijun Wang 001; Chun-Shu Wei; Tzyy-Ping Jung (HCI (5), 2013)

Toward non-hair-bearing brain-computer interfaces for neurocognitive lapse detection. - Chun-Shu Wei; Yu-Te Wang; Chin-Teng Lin; Tzyy-Ping Jung (EMBC, 2015)

Monitoring and Analysis of Multiplicative Characteristic Variations for Adhesive Electrode by Using Self-Electrocardiogram Signals. - Jingyi Song; Chun-Shu Wei; Tzyy-Ping Jung; Yikai Wang (SMC, 2015)

Selective Transfer Learning for EEG-Based Drowsiness Detection. - Chun-Shu Wei; Yuan-Pin Lin; Yu-Te Wang; Tzyy-Ping Jung; Nima Bigdely Shamlo; Chin-Teng Lin (SMC, 2015)

Transfer learning with large-scale data in brain-computer interfaces. - Chun-Shu Wei; Yuan-Pin Lin; Yu-Te Wang; Chin-Teng Lin; Tzyy-Ping Jung (EMBC, 2016)

Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis. - Chun-Shu Wei; Yuan-Pin Lin; Tzyy-Ping Jung (HCI (13), 2016)

Towards Brain Decoding for Real-World Drowsiness Detection - Chun-Shu Wei (2017)

Exploring Human Variability in Steady-State Visual Evoked Potentials. - Chun-Shu Wei; Masaki Nakanishi; Kuan-Jung Chiang; Tzyy-Ping Jung (SMC, 2018)

Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface. - Kuan-Jung Chiang; Chun-Shu Wei; Masaki Nakanishi; Tzyy-Ping Jung (CoRR, 2018)

A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection. - Chun-Shu Wei; Yuan-Pin Lin; Yu-Te Wang; Chin-Teng Lin; Tzyy-Ping Jung (NeuroImage, 2018)

Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces. - Kuan-Jung Chiang; Chun-Shu Wei; Masaki Nakanishi; Tzyy-Ping Jung (NER, 2019)

Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification. - Chun-Shu Wei; Toshiaki Koike-Akino; Ye Wang 001 (NER, 2019)

EEG-Based User Authentication Using a Convolutional Neural Network. - Ting Yu; Chun-Shu Wei; Kuan-Jung Chiang; Masaki Nakanishi; Tzyy-Ping Jung (NER, 2019)

Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses. - Masaki Nakanishi; Yu-Te Wang; Chun-Shu Wei; Kuan-Jung Chiang; Tzyy-Ping Jung (IEEE Trans. Biomed. Eng., 2020)

Normalized Canonical Correlation Analysis for Calibrating the Background EEG Activity in SSVEP Detection. - Chun-Shu Wei (SSCI, 2021)

Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning. - Kuan-Jung Chiang; Chun-Shu Wei; Masaki Nakanishi; Tzyy-Ping Jung (CoRR, 2021)

Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding. - Chun-Shu Wei; Corey J. Keller; Junhua Li; Yuan-Pin Lin; Masaki Nakanishi; Johanna Wagner; Wei Wu 022; Yu Zhang 009; Tzyy-Ping Jung (Frontiers Comput. Neurosci., 2021)

Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding. - Poyuan Jeng; Chun-Shu Wei; Tzyy-Ping Jung; Li-Chun Wang 001 (IEEE J. Biomed. Health Informatics, 2021)

Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. - Katharina Margareta Theresa Pöhlmann; Gang Li 011; Abhraneil Dam; Yu-Kai Wang; Chun-Shu Wei; Adrian Brietzke; Georgios Papaioannou (AutomotiveUI (Adjunct Proceedings), 2022)

Accelerating Brain Research using Explainable Artificial Intelligence. - Jing-Lun Chou; Ya-Lin Huang; Chia-Ying Hsieh; Jian-Xue Huang; Chun-Shu Wei (ICME Workshops, 2022)

Toward EEG-Based Brain State Recognition for Personalized Neuromodulation. - Yu-Cheng Chang; Pin-Hsuan Chao; Sin-Horng Chen; Chun-Shu Wei (MCSoC, 2022)

MAtt: A Manifold Attention Network for EEG Decoding. - Yue-Ting Pan; Jing-Lun Chou; Chun-Shu Wei (NeurIPS, 2022)

ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation. - Ya-Lin Huang; Chia-Ying Hsieh; Jian-Xue Huang; Chun-Shu Wei (CoRR, 2022)

CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction. - Pin-Hua Lai; Wei-Chun Yang; Hsiang-Chieh Tsou; Chun-Shu Wei (CoRR, 2022)

Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation. - Xin-Yao Huang; Sung-Yu Chen; Chun-Shu Wei (CoRR, 2022)

Toward CNN-Based Motor-Imagery EEG Classification with Fuzzy Fusion. - Jian-Xue Huang; Chia-Ying Hsieh; Ya-Lin Huang; Chun-Shu Wei (Int. J. Fuzzy Syst., 2022)

Recognizing Tonal and Nontonal Mandarin Sentences for EEG-Based Brain-Computer Interface. - Shiau-Ru Yang; Tzyy-Ping Jung; Chin-Teng Lin; Kuan-Chih Huang; Chun-Shu Wei; Herming Chiueh; Yue-Loong Hsin; Guan-Ting Liou; Li-Chun Wang 001 (IEEE Trans. Cogn. Dev. Syst., 2022)

2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field. - Katharina Margareta Theresa Pöhlmann; Ammar Jamal Said Al-Taie; Gang Li 011; Abhraneil Dam; Yu-Kai Wang; Chun-Shu Wei; Georgios Papaioannou (AutomotiveUI (Adjunct Proceedings), 2023)

Delay Analysis in Closed-Loop EEG Phase-Triggered Transcranial Magnetic Stimulation. - Yu-Cheng Chang; Pin-Hsuan Chao; Yan-Ming Kuan; Chiu-Jung Huang; Li-Fen Chen; Wei-Chung Mao; Tung-Ping Su; Sin-Horng Chen; Chun-Shu Wei (EMBC, 2023)

Exploring fNIRS-Based Brain State Recognition and Visualization through the use of Explainable Convolutional Neural Networks. - Pin-Hua Chen; Chun-Shu Wei; Chen-Chia Lan; Nai-Feng Chen; Li-Chun Wang 001 (EMBC, 2023)

Quantitative Quality Assessment for EEG Data: A Mini Review. - Chun-Shu Wei (SSCI, 2023)

SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces. - Sung-Yu Chen; Chi-Min Chang; Kuan-Jung Chiang; Chun-Shu Wei (CoRR, 2023)

Toward EEG-Based Objective Assessment of Emotion Intensity. - Pin-Han Ho; Yong-Sheng Chen; Chun-Shu Wei (EMBC, 2024)

Utilizing Motor-Imagery Brain-Computer Interfaces for the Assessment of Developmental Coordination Disorder in Children. - Kuan-Yi Lee; Kong-Yi Chang; Hao-Che Hsu; Yu-Ting Tseng; Chun-Shu Wei; Shih-Syun Lin; Chun-Hsiang Chuang (EMBC, 2024)

A Unified Brain Signal Decoder Based on Multi-Branch Architecture. - Jing-Lun Chou; Yih-Ning Huang; Chun-Shu Wei (IJCNN, 2024)

QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding. - Chi-Sheng Chen; Samuel Yen-Chi Chen; Aidan Hung-Wen Tsai; Chun-Shu Wei (SiPS, 2024)

Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning. - Chi-Sheng Chen; Chun-Shu Wei (CoRR, 2024)

Enhancing Low-Density EEG-Based Brain-Computer Interfacing With Similarity-Keeping Knowledge Distillation. - Xin-Yao Huang; Sung-Yu Chen; Chun-Shu Wei (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impairment: A Mini Review. - Vasilii Zaitsev; Chun-Shu Wei (BCI, 2025)

Interbrain synchrony attenuation during a peer cooperative task in young children with autistic traits -an EEG hyperscanning study. - I-Chun Chen; Hao-Che Hsu; Chia-Ling Chen; Meng-Han Chang; Chun-Shu Wei; Chun-Hsiang Chuang (NeuroImage, 2025)