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Zhi-Qin John Xu, 许志钦 Tenure-track Associate Professor, 副教授 Institute of Natural Sciences, 自然科学研究院 School of Mathematical Sciences, 数学科学学院 Shanghai Jiao Tong University, 上海交通大学 |
I work on deep learning and computational neuroscience. I obtained my B.S. in Physics (Zhiyuan College) and a Ph.D. degree in Mathematics from SJTU under the supervision of Profs. David Cai and Douglas Zhou. Before joining SJTU, I worked as a Postdoc at NYUAD and Courant Institute from 2016 to 2019.
materials
机器学习联合研讨计划及机器学习与科学应用大会主页: c2sml.cn
A suggested notation for machine learning (通用机器学习符号) published by BAAI (北京智源), see page in github or the page in BAAI
slides at CSIAM 2020
Contact
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更多信息请关注我的公众号 |
Email: xuzhiqin at sjtu dot edu dot cn, Tel: 021-54742760
Office: 326, No.5 Science Building，No. 800 Dongchuan Road，
Shanghai Jiao Tong University，Minhang District, Shanghai
Research Interest
I am interested in understanding deep learning from training process, loss landscape, generalization and application. For example, we found a Frequency Principle (F-Principle) that deep neural networks (DNNs) often capture target functions from low frequency to high frequency in order during the training; we found an embedding principle that the loss landscape of a DNN “contains” all the critical points of all the narrower DNNs.
I am also interested in computational neuroscience, ranging from theoretical study and simulation to data analysis.