Bingchuan Liu

Postdoc at Caltech

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I’m currently a postdoc scholar in Biology and Biological Engineering at California Institute of Technology (Caltech), where I have been fortunate to be advised by Prof. Richard Andersen. I received my Ph.D. in Biomedical Engineering from Tsinghua University, graduating with honors.

My research interest is brain-computer interface, which aims to improve the quality of life for those individuals with neurological disorders. I serve as a peer reviewer for several journals, including IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Journal of Biomedical and Health Informatics, Journal of Neural Engineering, Frontiers in Neuroscience, Neural Networks, Pattern Recognition, Knowledge-Based Systems, iScience, Scientific Reports, Cyborg and Bionic Systems, Brain Science Advances, and the International Journal of Human-Computer Interaction.

news

May 16, 2025 I will be presenting my poster at the BRIDGE-STIM Workshop at the University of Pittsburg on May 19-20! :sparkles: :smile:

selected publications

  1. song-iclr.jpg
    Decoding Natural Images from EEG for Object Recognition
    Yonghao Song, Bingchuan Liu, Xiang Li, and 3 more authors
    In International Conference on Learning Representations, 2024
  2. song_tnsre.jpg
    EEG conformer: Convolutional transformer for EEG decoding and visualization
    Yonghao Song, Qingqing Zheng, Bingchuan Liu, and 1 more author
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
  3. liu_scidata.png
    eldBETA: A large eldercare-oriented benchmark database of SSVEP-BCI for the aging population
    Bingchuan Liu, Yijun Wang, Xiaorong Gao, and 1 more author
    Scientific data, 2022
  4. liu_tbme.gif
    Align and pool for EEG headset domain adaptation (ALPHA) to facilitate dry electrode based SSVEP-BCI
    Bingchuan Liu, Xiaogang Chen, Xiang Li, and 3 more authors
    IEEE Transactions on Biomedical Engineering, 2022
  5. liu_tnsre.png
    Improving the performance of individually calibrated SSVEP-BCI by task-discriminant component analysis
    Bingchuan Liu, Xiaogang Chen, Nanlin Shi, and 3 more authors
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021
  6. liu_frontiers.png
    BETA: A large benchmark database toward SSVEP-BCI application
    Bingchuan Liu, Xiaoshan Huang, Yijun Wang, and 2 more authors
    Frontiers in neuroscience, 2020