Yunfei Yang

According to our database, Yunfei Yang authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model.

Qimin Cheng, Huanying Li, Yunfei Yang, Jiajun Ling, Xiao Huang

Sensors, March, 2024

On the rates of convergence for learning with convolutional neural networks.

Yunfei Yang, Han Feng, Ding-Xuan Zhou

CoRR, 2024

2023

A Boost-Type Three-Port Resonant Forward Converter With Flexible Power Flow Path Optimization for PV Systems.

Ting Qian, Yunfei Yang, Wenrui Zhao

IEEE Trans. Circuits Syst. II Express Briefs, 2023

Nonparametric regression using over-parameterized shallow ReLU neural networks.

Yunfei Yang, Ding-Xuan Zhou

CoRR, 2023

Optimal rates of approximation by shallow ReLU^k neural networks and applications to nonparametric regression.

Yunfei Yang, Ding-Xuan Zhou

CoRR, 2023

Convergence Analysis of the Deep Galerkin Method for Weak Solutions.

Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang

CoRR, 2023

A Data-free Backdoor Injection Approach in Neural Networks.

Peizhuo Lv, Chang Yue, Ruigang Liang, Yunfei Yang, Shengzhi Zhang, Hualong Ma, Kai Chen

Proceedings of the 32nd USENIX Security Symposium, 2023

DBIA: Data-Free Backdoor Attack Against Transformer Networks.

Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

UDBNet: Detecting Unsafe Driving Behaviors Relevant to Urban Traffic Safety.

Qimin Cheng, Yunfei Yang, Huanying Li, Jiajun Ling, Zhenfeng Shao

Proceedings of the 2023 30th International Conference on Geoinformatics, 2023

2022

Evaluation of sports public service under fuzzy integral and deep neural network.

Yunfei Yang, Jingwei Yang, Xiantao Huang

J. Supercomput., 2022

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

Yunfei Yang, Zhen Li, Yang Wang

Neural Networks, 2022

On the capacity of deep generative networks for approximating distributions.

Yunfei Yang, Zhen Li, Yang Wang

Neural Networks, 2022

An Error Analysis of Generative Adversarial Networks for Learning Distributions.

Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang

J. Mach. Learn. Res., 2022

The inconsistency of documentation: a study of online C standard library documents.

Ruishi Li, Yunfei Yang, Jinghua Liu, Peiwei Hu, Guozhu Meng

Cybersecur., 2022

Universality and approximation bounds for echo state networks with random weights.

Zhen Li, Yunfei Yang

CoRR, 2022

Learning Distributions by Generative Adversarial Networks: Approximation and Generalization.

Yunfei Yang

CoRR, 2022

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

Yuling Jiao, Yang Wang, Yunfei Yang

CoRR, 2022

Power Consumption Forecast of Three Major Industries in China Based on Fractional Grey Model.

Yuhan Xie, Yunfei Yang, Lifeng Wu

Axioms, 2022

2021

DBIA: Data-free Backdoor Injection Attack against Transformer Networks.

Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang

CoRR, 2021

Error Analysis of Deep Ritz Methods for Elliptic Equations.

Yuling Jiao, Yanming Lai, Yisu Luo, Yang Wang, Yunfei Yang

CoRR, 2021

Exponential Approximation of Band-limited Signals from Nonuniform Sampling.

Yunfei Yang, Haizhang Zhang

CoRR, 2021

Non-asymptotic Error Bounds for Bidirectional GANs.

Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang

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.

Yunfei Yang, Yang Wang

CoRR, 2020

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation.

Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.

Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang

CoRR, 2018

TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis.

Ruixue Zhao, Ruochi Zhang, Tongyu Tang, Xin Feng, Jialiang Li, Yue Liu, Renxiang Zhu, Guangze Wang, Kangning Li, Wenyang Zhou, Yunfei Yang, Yuzhao Wang, Yuanjie Ba, Jiaojiao Zhang, Yang Liu, Fengfeng Zhou

Comput. Biol. Medicine, 2018

2016

Evaluating the Ontological Semantic Description of Web Services Generated from Algebraic Specifications.

Dongmei Liu, Yunfei Yang, Ying Chen, Hong Zhu, Ian Bayley, Arantza Aldea

Proceedings of the 2016 IEEE Symposium on Service-Oriented System Engineering, 2016