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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.



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


github code


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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.