Yunfei Yang

Orcid: 0000-0001-7231-4816

Affiliations:
  • Sun Yat-sen University, School of Mathematics, Zhuhai, China
  • Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong (PhD 2022)
  • Huawei Technologies, Shenzhen, China (2020 - 2022)


According to our database1, Yunfei Yang authored at least 10 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Universality and Approximation Bounds for Echo State Networks With Random Weights.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

2023
Convergence Analysis of the Deep Galerkin Method for Weak Solutions.
CoRR, 2023

2022
Approximation in shift-invariant spaces with deep ReLU neural networks.
Neural Networks, 2022

On the capacity of deep generative networks for approximating distributions.
Neural Networks, 2022

An Error Analysis of Generative Adversarial Networks for Learning Distributions.
J. Mach. Learn. Res., 2022

Approximation bounds for norm constrained neural networks with applications to regression and GANs.
CoRR, 2022

2021
Error Analysis of Deep Ritz Methods for Elliptic Equations.
CoRR, 2021

Exponential Approximation of Band-limited Signals from Nonuniform Sampling.
CoRR, 2021

Non-asymptotic Error Bounds for Bidirectional GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Approximation in shift-invariant spaces with deep ReLU neural networks.
CoRR, 2020


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