Weiyang Shi completed his PhD study (2017-2022) at the Brainnetome Center & National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,supervised by Prof. Tianzi Jiang. Previously,he received the B. Eng degree from the Honors College of Northwestern Polytechnical University in 2017

My research focus is on brain connectome,committed to utilizing machine learning techniques to uncover neuroimaging biomarkers for mental illnesses,investigate the organizational principles of brain structure and function,and develop brain-inspired AI models.

Shi W,Fan L,Wang H,et al. Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement[J]. Cerebral Cortex,2023,33(7):3683-3700.
Shi W,Xu K,Song M,et al. Constrain latent space for schizophrenia classification via dual space mapping net[C]//Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference,Lima,Peru,October 4–8,2020,Proceedings,Part I 23. Springer International Publishing,2020: 85-94.