基本信息：
杨云斐，男，中山大学数学学院（珠海）预聘助理教授（副教授职务）、博士生导师

教育背景：
2018年9月-2022年6月，香港科技大学，数学，博士学位
2015年9月-2018年6月，中山大学，基础数学，硕士学位
2011年9月-2015年6月，中山大学，数学与应用数学，学士学位

工作经历：
2024年7月至今，中山大学，预聘助理教授
2022年7月-2024年6月，香港城市大学，博士后
2020年9月-2022年6月，华为，科研实习

研究领域：
机器学习理论、应用调和分析、逼近论

学术论文：
Recent topic: Analyzing the performances of machine learning algorithms and models, especially deep learning, by using tools from applied harmonic analysis, approximation theory and statistical learning theory.

[1]Y. Yang* and D. X. Zhou. Nonparametric regression using over-parameterized shallow ReLU neural networks. Journal of Machine Learning Research, 2024.
[2]Y. Yang* and D. X. Zhou. Optimal rates of approximation by shallow ReLU^k neural networks and applications to nonparametric regression. Constructive Approximation, 2024.
[3]Z. Li and Y. Yang*. Universality and approximation bounds for echo state networks with random weights. IEEE Transactions on Neural Networks and Learning Systems, 2024.
[4]Y. Jiao, Y. Lai, Y. Lo, Y. Wang and Y. Yang. Error analysis of deep Ritz methods for elliptic equations. Analysis and Applications, 2024.
[5]Y. Jiao, Y. Lai, Y. Wang, H. Yang and Y. Yang. Convergence analysis of the deep Galerkin method for weak solutions. Book Chapter in From Classical Analysis to Analysis on Fractals: A Tribute to Robert Strichartz, Volume 1, 2023.
[6]Y. Jiao, Y. Wang and Y. Yang*. Approximation bounds for norm constrained neural networks with applications to regression and GANs. Applied and Computational Harmonic Analysis, 2023.
[7]J. Huang, Y. Jiao, Z. Li, S. Liu, Y. Wang and Y. Yang*. An error analysis of generative adversarial networks for learning distributions. Journal of Machine Learning Research, 2022. 
[8]Y. Yang*, Z. Li and Y. Wang. Approximation in shift-invariant spaces with deep ReLU neural networks. Neural Networks, 2022.
[9]Y. Yang*, Z. Li and Y. Wang. On the capacity of deep generative networks for approximating distributions. Neural Networks, 2022.
[10]S. Liu, Y. Yang*, J. Huang, Y. Jiao and Y. Wang. Non-asymptotic error bounds for bidirectional GANs. Advances in Neural Information Processing Systems (NeurIPS), 2021.
[11]F. Huang, R. Lin and Y. Yang. The circular Bedrosian identity and multidimensional periodic analytic signals. Complex Variables and Elliptic Equations, 2017.

* indicates that I am the corresponding author
Updated: 2024/9/6