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  • Biography:Jianfeng Feng is the chair professor of Shanghai National Centre for Mathematic Sciences, and the Dean of Institute of Science and Technology for Brain-Inspired Intellignece in Fudan University. He has been developing new mathematical, statistical and computational theories and methods to meet the challenges raised in neuroscience and mental health researches. Recently, his research interests are mainly in big data analysis and mining for neuroscience and brain diseases. He was awarded the Royal Society Wolfson Research Merit Award in 2011, as a scientist ‘being of great achievements or potentials’. He has made considerable contributions on modelling single neurons and neuronal networks, machine learning, and causality analysis with publications on Molecular Psychiatry, Brain, PNAS, PRL, J Neuroscience etc. He has proposed and developed BWAS method (Brain-wide association study), and successfully applied it to search the roots in depression, schizophrenia and autism; developed functional entropy method and applied it to the study of ageing, intelligence and creativity, etc.
  • Achievement:

    Tao CY et al. (2018) Chi2 Generative Adverarial Netorks ICML 2018.

    Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu, Jianfeng Feng, Xiangyang Xue (2018) Dual Skipping Networks CVPR 2018.

    Sylvane Desrivieres, et al. Jianfeng Feng, Gunter Schumann (2014). Single nucleotide polymorphism in the neuroplastin locus associates with cortical thickness and intellectual ability in adolescents Molecular Psychiatry doi:10.1038/mp.2013.197, IF=15.