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2020 – today
- 2024
[j7]Xin-Yao Huang
, Sung-Yu Chen, Chun-Shu Wei:
Enhancing Low-Density EEG-Based Brain-Computer Interfacing With Similarity-Keeping Knowledge Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1156-1166 (2024)- [c24]Jing-Lun Chou, Yih-Ning Huang, Chun-Shu Wei:
A Unified Brain Signal Decoder Based on Multi-Branch Architecture. IJCNN 2024: 1-8 - [i8]Chi-Sheng Chen, Chun-Shu Wei:
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning. CoRR abs/2406.16910 (2024) - 2023
- [c23]Katharina Margareta Theresa Pöhlmann, Ammar Jamal Said Al-Taie, Gang Li, Abhraneil Dam, Yu-Kai Wang, Chun-Shu Wei, Georgios Papaioannou:
2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field. AutomotiveUI (Adjunct Proceedings) 2023: 223-226 - [c22]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:
Delay Analysis in Closed-Loop EEG Phase-Triggered Transcranial Magnetic Stimulation. EMBC 2023: 1-4 - [c21]Pin-Hua Chen, Chun-Shu Wei, Chen-Chia Lan, Nai-Feng Chen, Li-Chun Wang:
Exploring fNIRS-Based Brain State Recognition and Visualization through the use of Explainable Convolutional Neural Networks. EMBC 2023: 1-4 - [c20]Chun-Shu Wei:
Quantitative Quality Assessment for EEG Data: A Mini Review. SSCI 2023: 64-68 - [i7]Sung-Yu Chen, Chi-Min Chang, Kuan-Jung Chiang, Chun-Shu Wei:
SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces. CoRR abs/2311.12666 (2023) - 2022
- [j6]Jian-Xue Huang, Chia-Ying Hsieh, Ya-Lin Huang, Chun-Shu Wei:
Toward CNN-Based Motor-Imagery EEG Classification with Fuzzy Fusion. Int. J. Fuzzy Syst. 24(8): 3812-3823 (2022) - [j5]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:
Recognizing Tonal and Nontonal Mandarin Sentences for EEG-Based Brain-Computer Interface. IEEE Trans. Cogn. Dev. Syst. 14(4): 1666-1677 (2022) - [c19]Katharina Margareta Theresa Pöhlmann, Gang Li, Abhraneil Dam, Yu-Kai Wang, Chun-Shu Wei, Adrian Brietzke, Georgios Papaioannou:
Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. AutomotiveUI (Adjunct Proceedings) 2022: 157-160 - [c18]Jing-Lun Chou, Ya-Lin Huang, Chia-Ying Hsieh, Jian-Xue Huang, Chun-Shu Wei:
Accelerating Brain Research using Explainable Artificial Intelligence. ICME Workshops 2022: 1 - [c17]Yu-Cheng Chang, Pin-Hsuan Chao, Sin-Horng Chen, Chun-Shu Wei:
Toward EEG-Based Brain State Recognition for Personalized Neuromodulation. MCSoC 2022: 291-296 - [c16]Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei:
MAtt: A Manifold Attention Network for EEG Decoding. NeurIPS 2022 - [i6]Ya-Lin Huang, Chia-Ying Hsieh, Jian-Xue Huang, Chun-Shu Wei:
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation. CoRR abs/2201.04065 (2022) - [i5]Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei:
MAtt: A Manifold Attention Network for EEG Decoding. CoRR abs/2210.01986 (2022) - [i4]Pin-Hua Lai, Wei-Chun Yang, Hsiang-Chieh Tsou, Chun-Shu Wei:
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction. CoRR abs/2210.05988 (2022) - [i3]Xin-Yao Huang, Sung-Yu Chen, Chun-Shu Wei:
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation. CoRR abs/2212.03329 (2022) - 2021
- [j4]Chun-Shu Wei, Corey J. Keller, Junhua Li, Yuan-Pin Lin, Masaki Nakanishi, Johanna Wagner, Wei Wu, Yu Zhang, Tzyy-Ping Jung:
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding. Frontiers Comput. Neurosci. 15: 791129 (2021) - [j3]Poyuan Jeng, Chun-Shu Wei, Tzyy-Ping Jung, Li-Chun Wang:
Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding. IEEE J. Biomed. Health Informatics 25(6): 1915-1925 (2021) - [c15]Chun-Shu Wei:
Normalized Canonical Correlation Analysis for Calibrating the Background EEG Activity in SSVEP Detection. SSCI 2021: 1-6 - [i2]Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning. CoRR abs/2102.05194 (2021) - 2020
- [j2]Masaki Nakanishi, Yu-Te Wang, Chun-Shu Wei, Kuan-Jung Chiang, Tzyy-Ping Jung:
Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses. IEEE Trans. Biomed. Eng. 67(4): 1105-1113 (2020)
2010 – 2019
- 2019
- [c14]Chun-Shu Wei, Toshiaki Koike-Akino, Ye Wang:
Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification. NER 2019: 328-331 - [c13]Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces. NER 2019: 424-427 - [c12]Ting Yu, Chun-Shu Wei, Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung:
EEG-Based User Authentication Using a Convolutional Neural Network. NER 2019: 1011-1014 - 2018
- [j1]Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung:
A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection. NeuroImage 174: 407-419 (2018) - [c11]Chun-Shu Wei, Masaki Nakanishi, Kuan-Jung Chiang, Tzyy-Ping Jung:
Exploring Human Variability in Steady-State Visual Evoked Potentials. SMC 2018: 474-479 - [i1]Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface. CoRR abs/1810.02842 (2018) - 2017
- [b1]Chun-Shu Wei:
Towards Brain Decoding for Real-World Drowsiness Detection. University of California, San Diego, USA, 2017 - 2016
- [c10]Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung:
Transfer learning with large-scale data in brain-computer interfaces. EMBC 2016: 4666-4669 - [c9]Chun-Shu Wei, Yuan-Pin Lin, Tzyy-Ping Jung:
Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis. HCI (13) 2016: 113-120 - 2015
- [c8]Chun-Shu Wei, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung:
Toward non-hair-bearing brain-computer interfaces for neurocognitive lapse detection. EMBC 2015: 6638-6641 - [c7]Jingyi Song, Chun-Shu Wei, Tzyy-Ping Jung, Yikai Wang:
Monitoring and Analysis of Multiplicative Characteristic Variations for Adhesive Electrode by Using Self-Electrocardiogram Signals. SMC 2015: 761-764 - [c6]Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Tzyy-Ping Jung, Nima Bigdely Shamlo, Chin-Teng Lin:
Selective Transfer Learning for EEG-Based Drowsiness Detection. SMC 2015: 3229-3232 - 2013
- [c5]Yuan-Pin Lin, Yijun Wang, Chun-Shu Wei, Tzyy-Ping Jung:
A Mobile Brain-Computer Interface for Freely Moving Humans. HCI (5) 2013: 448-453 - 2011
- [c4]Li-Wei Ko, Chun-Shu Wei, Tzyy-Ping Jung, Chin-Teng Lin:
Estimating the Level of Motion Sickness Based on EEG Spectra. HCI (20) 2011: 169-176 - [c3]Li-Wei Ko, Chun-Shu Wei, Shi-An Chen, Chin-Teng Lin:
EEG-Based Motion Sickness Estimation Using Principal Component Regression. ICONIP (1) 2011: 717-724 - [c2]Chun-Shu Wei, Li-Wei Ko, Shang-Wen Chuang, Tzyy-Ping Jung, Chin-Teng Lin:
Genetic feature selection in EEG-based motion sickness estimation. IJCNN 2011: 365-369 - [c1]Chun-Shu Wei, Shang-Wen Chuang, Wan-Ru Wang, Li-Wei Ko, Tzyy-Ping Jung, Chin-Teng Lin:
Implementation of a motion sickness evaluation system based on EEG spectrum analysis. ISCAS 2011: 1081-1084
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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