Shengpei Wang, Associate Professor of Institute of Automation, Chinese Academy of Sciences, has long been engaged in methodological and applied research on medical imaging and neuromodulation, using multimodal electrophysiology and brain imaging as technical means, integrating multidisciplinary theories of cognitive neuroscience, complex network science, system dynamics, artificial intelligence science and psychiatry, and proposing a series of cross-field intersecting analytical methods, which empowers the specific application tasks of intelligent medical treatment while Systematically solved the bottleneck problems in intelligent diagnosis and treatment and precise regulation in psychiatry. He has published 19 SCI papers, 6 SCI papers as the first (including co-authors)/corresponding authors, and as the project leader and project backbone, he has undertaken a number of national and provincial projects, and the research results have been popularized and piloted in the field of neuromodulation and medical treatment. Education: (1) 2014-09 to 2020-10, University of Chinese Academy of Sciences (UCAS), Pattern Recognition and Intelligent Systems, Ph.D.; (2) 2009-09 to 2013-06, East China University of Science and Technology (ECUST), Measurement and Control Technology and Instrumentation, B.S.; Research and Academic Experience: (1) 2023-07 to present, Chinese Academy of Sciences (CAS), Institute of Automation (IAS), Associate Researcher (2) 2020-10 to 2023-06, Chinese Academy of Sciences (CAS), Institute of Automation (IA), Associate Researcher (2) 2020-10 to 2023-06, Chinese Academy of Sciences, Institute of Automation, Assistant Researcher.

Neurocomputing and Neuromodulation

National Natural Science Foundation of China, Youth Science Fund Project, 62201569; Title: Key techniques for personalized modulation of repetitive transcranial magnetic stimulation for depression; Duration: January 1, 2023 to December 31, 2025; Status: Ongoing; Role: Principal Investigator 

[1] Wang Shengpei*, Wen Hongwei*, Qiu Shuang, Xie Peng, Qiu Jiang, He Huiguang# (2022): Driving brain state transitions in major depressive disorder through external stimulation. In Human Brain Mapping 43 (17), pp. 5326–5339.
[2] Wang Shengpei*, Li Yun, Qiu Shuang, Zhang Chuncheng, Wang Guyan, Xian Junfang, He Huiguang#. (2020): Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep. In NeuroImage: Clinical 25, p. 102188.
[3] Wang Shengpei*, Wen Hongwei, Hu Xiaopeng, Xie Peng, Qiu Shuang, Qian,Yinfeng, He Huiguang#. (2020c): Transition and dynamic reconfiguration of whole-brain network in major depressive disorder. In Molecular neurobiology 57, pp. 4031–4044.
[4] Li Dan, Wang Haibao, Wang Yufeng, Wang Shengpei# (2023): Instance-wise multi-view representation learning. In Information Fusion 91, pp. 612–622.
[5] Qiu Shuang*, Wang Shengpei*, Peng, Weiwei, Yi, Weibo, Zhang, Chuncheng, Zhang, Jing, He, Huiguang (2021): Continuous theta-burst stimulation modulates resting-state EEG microstates in healthy subjects. In Cognitive Neurodynamics, pp. 1–11.
[6] Wang Shengpei*, Li TianZuo, He Huiguang, Li Yun. Dynamical changes of interaction across functional brain communities during propofol-induced sedation[J]. Cerebral Cortex, 2024, 34(6).