Professor | Lei Wu | Asia Growth Partners

Name	Lei Wu
Contact Information	leiwu@math.pku.edu.cn
Language ability	Chinese, English
Province	Beijing

Name

Lei Wu

Contact Information

leiwu@math.pku.edu.cn

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Mathematical Sciences
Academic Background & Achievements	2019 PhD: Peking University 2012 Bachelor: Nankai University
Work Experience	2021.12-present - Peking University - Assistant Professor 2021.8-2021.11 - University of Pennsylvania - Postdoctoral Researcher 2018.11-2021.7 - Princeton University - Postdoctoral Researcher

University/Lab Affiliation and Title

Peking University

Faculty

Mathematical Sciences

Academic Background & Achievements

2019 PhD: Peking University
2012 Bachelor: Nankai University

Work Experience

2021.12-present - Peking University - Assistant Professor
2021.8-2021.11 - University of Pennsylvania - Postdoctoral Researcher
2018.11-2021.7 - Princeton University - Postdoctoral Researcher

Areas of Focus	Mathematical theories of deep learning
Publications	Machine Learning from a Continuous Viewpoint, Weinan E, Chao Ma, Lei Wu, 2020 Barron spaces and flow-induced function spaces for neural network models, Weinan E, Chao Ma, Lei Wu, 2021 A comparative analysis of the optimization and generalization property of two-layer neural network and random feature models under gradient descent dynamics, Weinan E, Chao Ma, Lei Wu, 2020 A priori estimates of the population risk for two-layer neural networks, Weinan E, Chao Ma, Lei Wu, 2019 How SGD selects the global minima in over-parameterized learning: A dynamical stability perspective, Lei Wu, Chao Ma, Weinan E, 2018

Areas of Focus

Mathematical theories of deep learning

Publications

Machine Learning from a Continuous Viewpoint, Weinan E, Chao Ma, Lei Wu, 2020
Barron spaces and flow-induced function spaces for neural network models, Weinan E, Chao Ma, Lei Wu, 2021
A comparative analysis of the optimization and generalization property of two-layer neural network and random feature models under gradient descent dynamics, Weinan E, Chao Ma, Lei Wu, 2020
A priori estimates of the population risk for two-layer neural networks, Weinan E, Chao Ma, Lei Wu, 2019
How SGD selects the global minima in over-parameterized learning: A dynamical stability perspective, Lei Wu, Chao Ma, Weinan E, 2018

Deep Learning Mathematics Neural Networks Optimization Gradient Descent Generalization Two-Layer Networks Random Features Population Risk Dynamical Stability

Muke Dian - Peking University

Zhihua Zhang - Peking University

Zhan Xiaoping - Wuhan University

View All

Personal Information

Academic Information

Research

Contact us

No account yet?

Personal Information

Academic Information

Research

Contact us