Approximation in shift-invariant spaces with deep ReLU neural networks. - Yunfei Yang 002; Yang Wang 020 (CoRR, 2020)

Non-asymptotic Error Bounds for Bidirectional GANs. - Shiao Liu; Yunfei Yang 002; Jian Huang 003; Yuling Jiao; Yang Wang 020 (NeurIPS, 2021)

Exponential Approximation of Band-limited Signals from Nonuniform Sampling. - Yunfei Yang 002; Haizhang Zhang (CoRR, 2021)

Error Analysis of Deep Ritz Methods for Elliptic Equations. - Yuling Jiao; Yanming Lai; Yisu Luo; Yang Wang 020; Yunfei Yang 002 (CoRR, 2021)

Approximation bounds for norm constrained neural networks with applications to regression and GANs. - Yuling Jiao; Yang Wang 020; Yunfei Yang 002 (CoRR, 2022)

An Error Analysis of Generative Adversarial Networks for Learning Distributions. - Jian Huang 003; Yuling Jiao; Zhen Li; Shiao Liu; Yang Wang 020; Yunfei Yang 002 (J. Mach. Learn. Res., 2022)

On the capacity of deep generative networks for approximating distributions. - Yunfei Yang 002; Zhen Li; Yang Wang 020 (Neural Networks, 2022)

Approximation in shift-invariant spaces with deep ReLU neural networks. - Yunfei Yang 002; Zhen Li; Yang Wang 020 (Neural Networks, 2022)

Convergence Analysis of the Deep Galerkin Method for Weak Solutions. - Yuling Jiao; Yanming Lai; Yang Wang 020; Haizhao Yang; Yunfei Yang 002 (CoRR, 2023)

Universality and Approximation Bounds for Echo State Networks With Random Weights. - Zhen Li; Yunfei Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)