Projects per year
Personal profile
Research Interests
- Cognitive engineering
- Computational neuroscience
- Brain-computer interface (BCI)
- Machine learning
- Biomedical data analysis
Experience
- Postdoctoral Fellow, Psychiatry and Behavioral Sciences, Stanford University, CA, USA, 11/2018 – 07/2019
- Postdoctoral Researcher, Neural Computation, University of California San Diego, USA, 01/2018 – 11/2018
- Research Intern, Mitsubishi Electric Research Laboratories (MERL), MA, USA, 06/2017 – 09/2017
Education/Academic qualification
PhD, University of California, San Diego
Sep 2012 → Dec 2017
Award Date: 16 Dec 2017
Master, National Chiao Tung Univerisity
Sep 2009 → Jun 2011
Bachelor, National Chiao Tung Univerisity
Sep 2005 → Jun 2009
Fingerprint
Dive into the research topics where Chun-Shu Wei is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 14 Similar Profiles
Projects
-
YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking
1/04/20 → 31/03/21
Project: Government Ministry › Ministry of Science and Technology
-
YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking
1/04/22 → 31/03/23
Project: Government Ministry › Ministry of Science and Technology
-
YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking
1/04/21 → 31/03/22
Project: Government Ministry › Ministry of Science and Technology
Research Output
-
Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses
Nakanishi, M., Wang, Y. T., Wei, C-S., Chiang, K. J. & Jung, T. P., Apr 2020, In: IEEE Transactions on Biomedical Engineering. 67, 4, p. 1105-1113 9 p., 8765815.Research output: Contribution to journal › Article › peer-review
-
Low-Dimensional Subject Representation-based Transfer Learning in EEG Decoding
Jeng, P. Y., Wei, C. S., Jung, T. P. & Wang, L. C., 2020, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
Open Access -
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces
Chiang, K. J., Wei, C-S., Nakanishi, M. & Jung, T. P., 16 May 2019, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, p. 424-427 4 p. 8716958. (International IEEE/EMBS Conference on Neural Engineering, NER; vol. 2019-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
EEG-Based User Authentication Using a Convolutional Neural Network
Yu, T., Wei, C-S., Chiang, K. J., Nakanishi, M. & Jung, T. P., 16 May 2019, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, p. 1011-1014 4 p. 8716965. (International IEEE/EMBS Conference on Neural Engineering, NER; vol. 2019-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Exploring Human Variability in Steady-State Visual Evoked Potentials
Wei, C-S., Nakanishi, M., Chiang, K. J. & Jung, T. P., 16 Jan 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 474-479 6 p. 8616085. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review