Chun-Shu Wei - RankMe

45 papers A* 1B 5C 1Journal 16Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impairment: A Mini Review. BCI Vasilii Zaitsev, Chun-Shu Wei
2025	J	`jnl`	Interbrain synchrony attenuation during a peer cooperative task in young children with autistic traits -an EEG hyperscanning study. NeuroImage I-Chun Chen, Hao-Che Hsu, Chia-Ling Chen, Meng-Han Chang, Chun-Shu Wei, Chun-Hsiang Chuang
2024	B	`conf`	A Unified Brain Signal Decoder Based on Multi-Branch Architecture. IJCNN Jing-Lun Chou, Yih-Ning Huang, Chun-Shu Wei
2024	J	`jnl`	Enhancing Low-Density EEG-Based Brain-Computer Interfacing With Similarity-Keeping Knowledge Distillation. IEEE Trans. Emerg. Top. Comput. Intell. Xin-Yao Huang, Sung-Yu Chen, Chun-Shu Wei
2024	J	`jnl`	Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning. CoRR Chi-Sheng Chen, Chun-Shu Wei
2024	—	`conf`	QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding. SiPS Chi-Sheng Chen, Samuel Yen-Chi Chen, Aidan Hung-Wen Tsai, Chun-Shu Wei
2024	—	`conf`	Toward EEG-Based Objective Assessment of Emotion Intensity. EMBC Pin-Han Ho, Yong-Sheng Chen, Chun-Shu Wei
2024	—	`conf`	Utilizing Motor-Imagery Brain-Computer Interfaces for the Assessment of Developmental Coordination Disorder in Children. EMBC Kuan-Yi Lee, Kong-Yi Chang, Hao-Che Hsu, Yu-Ting Tseng, Chun-Shu Wei, Shih-Syun Lin, Chun-Hsiang Chuang
2023	—	`conf`	2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field. AutomotiveUI (Adjunct Proceedings) Katharina Margareta Theresa Pöhlmann, Ammar Jamal Said Al-Taie, Gang Li, Abhraneil Dam, Yu-Kai Wang, Chun-Shu Wei, Georgios Papaioannou
2023	—	`conf`	Delay Analysis in Closed-Loop EEG Phase-Triggered Transcranial Magnetic Stimulation. EMBC 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
2023	—	`conf`	Exploring fNIRS-Based Brain State Recognition and Visualization through the use of Explainable Convolutional Neural Networks. EMBC Pin-Hua Chen, Chun-Shu Wei, Chen-Chia Lan, Nai-Feng Chen, Li-Chun Wang
2023	—	`conf`	Quantitative Quality Assessment for EEG Data: A Mini Review. SSCI Chun-Shu Wei
2023	J	`jnl`	SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces. CoRR Sung-Yu Chen, Chi-Min Chang, Kuan-Jung Chiang, Chun-Shu Wei
2022	—	`conf`	Accelerating Brain Research using Explainable Artificial Intelligence. ICME Workshops Jing-Lun Chou, Ya-Lin Huang, Chia-Ying Hsieh, Jian-Xue Huang, Chun-Shu Wei
2022	J	`jnl`	CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction. CoRR Pin-Hua Lai, Wei-Chun Yang, Hsiang-Chieh Tsou, Chun-Shu Wei
2022	J	`jnl`	Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation. CoRR Xin-Yao Huang, Sung-Yu Chen, Chun-Shu Wei
2022	J	`jnl`	ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation. CoRR Ya-Lin Huang, Chia-Ying Hsieh, Jian-Xue Huang, Chun-Shu Wei
2022	A*	`conf`	MAtt: A Manifold Attention Network for EEG Decoding. NeurIPS Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei
2022	J	`jnl`	MAtt: A Manifold Attention Network for EEG Decoding. CoRR Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei
2022	J	`jnl`	Recognizing Tonal and Nontonal Mandarin Sentences for EEG-Based Brain-Computer Interface. IEEE Trans. Cogn. Dev. Syst. 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
2022	J	`jnl`	Toward CNN-Based Motor-Imagery EEG Classification with Fuzzy Fusion. Int. J. Fuzzy Syst. Jian-Xue Huang, Chia-Ying Hsieh, Ya-Lin Huang, Chun-Shu Wei
2022	—	`conf`	Toward EEG-Based Brain State Recognition for Personalized Neuromodulation. MCSoC Yu-Cheng Chang, Pin-Hsuan Chao, Sin-Horng Chen, Chun-Shu Wei
2022	—	`conf`	Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. AutomotiveUI (Adjunct Proceedings) Katharina Margareta Theresa Pöhlmann, Gang Li, Abhraneil Dam, Yu-Kai Wang, Chun-Shu Wei, Adrian Brietzke, Georgios Papaioannou
2021	J	`jnl`	Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning. CoRR Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung
2021	J	`jnl`	Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding. Frontiers Comput. Neurosci. Chun-Shu Wei, Corey J. Keller, Junhua Li, Yuan-Pin Lin, Masaki Nakanishi, Johanna Wagner, Wei Wu, Yu Zhang, Tzyy-Ping Jung
2021	J	`jnl`	Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding. IEEE J. Biomed. Health Informatics Poyuan Jeng, Chun-Shu Wei, Tzyy-Ping Jung, Li-Chun Wang
2021	—	`conf`	Normalized Canonical Correlation Analysis for Calibrating the Background EEG Activity in SSVEP Detection. SSCI Chun-Shu Wei
2020	J	`jnl`	Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses. IEEE Trans. Biomed. Eng. Masaki Nakanishi, Yu-Te Wang, Chun-Shu Wei, Kuan-Jung Chiang, Tzyy-Ping Jung
2019	—	`conf`	Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces. NER Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung
2019	—	`conf`	EEG-Based User Authentication Using a Convolutional Neural Network. NER Ting Yu, Chun-Shu Wei, Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung
2019	—	`conf`	Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification. NER Chun-Shu Wei, Toshiaki Koike-Akino, Ye Wang
2018	J	`jnl`	A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection. NeuroImage Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung
2018	J	`jnl`	Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface. CoRR Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung
2018	B	`conf`	Exploring Human Variability in Steady-State Visual Evoked Potentials. SMC Chun-Shu Wei, Masaki Nakanishi, Kuan-Jung Chiang, Tzyy-Ping Jung
2017	—	`—`	Towards Brain Decoding for Real-World Drowsiness Detection Chun-Shu Wei
2016	—	`conf`	Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis. HCI (13) Chun-Shu Wei, Yuan-Pin Lin, Tzyy-Ping Jung
2016	—	`conf`	Transfer learning with large-scale data in brain-computer interfaces. EMBC Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung
2015	B	`conf`	Monitoring and Analysis of Multiplicative Characteristic Variations for Adhesive Electrode by Using Self-Electrocardiogram Signals. SMC Jingyi Song, Chun-Shu Wei, Tzyy-Ping Jung, Yikai Wang
2015	B	`conf`	Selective Transfer Learning for EEG-Based Drowsiness Detection. SMC Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Tzyy-Ping Jung, Nima Bigdely Shamlo, Chin-Teng Lin
2015	—	`conf`	Toward non-hair-bearing brain-computer interfaces for neurocognitive lapse detection. EMBC Chun-Shu Wei, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung
2013	—	`conf`	A Mobile Brain-Computer Interface for Freely Moving Humans. HCI (5) Yuan-Pin Lin, Yijun Wang, Chun-Shu Wei, Tzyy-Ping Jung
2011	—	`conf`	EEG-Based Motion Sickness Estimation Using Principal Component Regression. ICONIP (1) Li-Wei Ko, Chun-Shu Wei, Shi-An Chen, Chin-Teng Lin
2011	—	`conf`	Estimating the Level of Motion Sickness Based on EEG Spectra. HCI (20) Li-Wei Ko, Chun-Shu Wei, Tzyy-Ping Jung, Chin-Teng Lin
2011	B	`conf`	Genetic feature selection in EEG-based motion sickness estimation. IJCNN Chun-Shu Wei, Li-Wei Ko, Shang-Wen Chuang, Tzyy-Ping Jung, Chin-Teng Lin
2011	C	`conf`	Implementation of a motion sickness evaluation system based on EEG spectrum analysis. ISCAS Chun-Shu Wei, Shang-Wen Chuang, Wan-Ru Wang, Li-Wei Ko, Tzyy-Ping Jung, Chin-Teng Lin