20102022

Research output per year

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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 2012Dec 2017

Award Date: 16 Dec 2017

Master, National Chiao Tung Univerisity

Sep 2009Jun 2011

Bachelor, National Chiao Tung Univerisity

Sep 2005Jun 2009

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  • 14 Similar Profiles

Projects

YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking

Wei, C.

1/04/2031/03/21

Project: Government MinistryMinistry of Science and Technology

YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking

Wei, C.

1/04/2231/03/23

Project: Government MinistryMinistry of Science and Technology

YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking

Wei, C.

1/04/2131/03/22

Project: Government MinistryMinistry of Science and Technology

Research Output

  • 17 Conference contribution
  • 6 Article

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 journalArticle

  • 3 Scopus citations

    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 proceedingConference contribution

  • 1 Scopus citations

    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 proceedingConference contribution

  • 1 Scopus citations

    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 proceedingConference contribution

  • 6 Scopus citations

    Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification

    Wei, C-S., Koike-Akino, T. & Wang, Y., 16 May 2019, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, p. 328-331 4 p. 8716937. (International IEEE/EMBS Conference on Neural Engineering, NER; vol. 2019-March).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2 Scopus citations