教育经历
2019 北京大学 博士
2012 南开大学 学士
2012 南开大学 学士
工作经历
2021.12-现在，北京大学，助理教授
2021.8- 2021.11，宾夕法尼亚大学，博士后
2018.11-2021.7，普林斯顿大学，博士后
2021.8- 2021.11，宾夕法尼亚大学，博士后
2018.11-2021.7，普林斯顿大学，博士后
代表作
1.Weinan E, Chao Ma, Lei Wu. Machine Learning from a Continuous Viewpoint. Science China Mathematics, 2020
2.Weinan E, Chao Ma, Lei Wu. Barron spaces and flow-induced function spaces for neural network models. Constructive Approximation, 2021.
3.Weinan E, Chao Ma, Lei Wu. A comparative analysis of the optimization and generalization property of two-layer neural network and random feature models under gradient descent dynamics. Science China Mathematics, 2020.
4.Weinan E, Chao Ma, Lei Wu. A priori estimates of the population risk for two-layer neural networks. Communications in Mathematical Sciences, 2019
5.Lei Wu, Chao Ma, Weinan E. How SGD selects the global minima in over-parameterized learning: A dynamical stability perspective. Advances in Neural Information Processing Systems (NeurIPS), 2018
2.Weinan E, Chao Ma, Lei Wu. Barron spaces and flow-induced function spaces for neural network models. Constructive Approximation, 2021.
3.Weinan E, Chao Ma, Lei Wu. A comparative analysis of the optimization and generalization property of two-layer neural network and random feature models under gradient descent dynamics. Science China Mathematics, 2020.
4.Weinan E, Chao Ma, Lei Wu. A priori estimates of the population risk for two-layer neural networks. Communications in Mathematical Sciences, 2019
5.Lei Wu, Chao Ma, Weinan E. How SGD selects the global minima in over-parameterized learning: A dynamical stability perspective. Advances in Neural Information Processing Systems (NeurIPS), 2018