Yunfei Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Rates Of Convergence

Top Venues

Neural Networks

Publications

Qimin Cheng, Jiajun Ling, Yunfei Yang, Kaiji Liu, Huanying Li, Xiao Huang
InstLane Dataset and Geometry-Aware Network for Instance Segmentation of Lane Line Detection. Remote. Sens. 16 (15) (2024)
Qimin Cheng, Huanying Li, Yunfei Yang, Jiajun Ling, Xiao Huang
Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model. Sensors 24 (5) (2024)
Yichun Wu, Huihuang Zhao, Wenhui Chen, Yunfei Yang, Jiayi Bu
TextStyler: A CLIP-based approach to text-guided style transfer. Comput. Graph. 119 (2024)
Yunfei Yang, Han Feng, Ding-Xuan Zhou
On the rates of convergence for learning with convolutional neural networks. CoRR (2024)
Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang
DBIA: Data-Free Backdoor Attack Against Transformer Networks. ICME (2023)
Yunfei Yang, Ding-Xuan Zhou
neural networks and applications to nonparametric regression. CoRR (2023)
Peizhuo Lv, Chang Yue, Ruigang Liang, Yunfei Yang, Shengzhi Zhang, Hualong Ma, Kai Chen
A Data-free Backdoor Injection Approach in Neural Networks. USENIX Security Symposium (2023)
Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang
Convergence Analysis of the Deep Galerkin Method for Weak Solutions. CoRR (2023)
Qimin Cheng, Yunfei Yang, Huanying Li, Jiajun Ling, Zhenfeng Shao
UDBNet: Detecting Unsafe Driving Behaviors Relevant to Urban Traffic Safety. Geoinformatics (2023)
Ting Qian, Yunfei Yang, Wenrui Zhao
A Boost-Type Three-Port Resonant Forward Converter With Flexible Power Flow Path Optimization for PV Systems. IEEE Trans. Circuits Syst. II Express Briefs 70 (1) (2023)
Yunfei Yang, Ding-Xuan Zhou
Nonparametric regression using over-parameterized shallow ReLU neural networks. CoRR (2023)
Yunfei Yang, Zhen Li, Yang Wang
On the capacity of deep generative networks for approximating distributions. Neural Networks 145 (2022)
Yunfei Yang, Zhen Li, Yang Wang
Approximation in shift-invariant spaces with deep ReLU neural networks. Neural Networks 153 (2022)
Ruishi Li, Yunfei Yang, Jinghua Liu, Peiwei Hu, Guozhu Meng
The inconsistency of documentation: a study of online C standard library documents. Cybersecur. 5 (1) (2022)
Zhen Li, Yunfei Yang
Universality and approximation bounds for echo state networks with random weights. CoRR (2022)
Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
An Error Analysis of Generative Adversarial Networks for Learning Distributions. J. Mach. Learn. Res. 23 (2022)
Yunfei Yang, Jingwei Yang, Xiantao Huang
Evaluation of sports public service under fuzzy integral and deep neural network. J. Supercomput. 78 (4) (2022)
Yuhan Xie, Yunfei Yang, Lifeng Wu
Power Consumption Forecast of Three Major Industries in China Based on Fractional Grey Model. Axioms 11 (8) (2022)
Yuling Jiao, Yang Wang, Yunfei Yang
Approximation bounds for norm constrained neural networks with applications to regression and GANs. CoRR (2022)
Yunfei Yang
Learning Distributions by Generative Adversarial Networks: Approximation and Generalization. CoRR (2022)
Yuling Jiao, Yanming Lai, Yisu Luo, Yang Wang, Yunfei Yang
Error Analysis of Deep Ritz Methods for Elliptic Equations. CoRR (2021)
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Non-Asymptotic Error Bounds for Bidirectional GANs. CoRR (2021)
Yunfei Yang, Haizhang Zhang
Exponential Approximation of Band-limited Signals from Nonuniform Sampling. CoRR (2021)
Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang
DBIA: Data-free Backdoor Injection Attack against Transformer Networks. CoRR (2021)
Yunfei Yang, Zhen Li, Yang Wang
On the capacity of deep generative networks for approximating distributions. CoRR (2021)
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Non-asymptotic Error Bounds for Bidirectional GANs. NeurIPS (2021)
Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
An error analysis of generative adversarial networks for learning distributions. CoRR (2021)
Yunfei Yang, Yang Wang
Approximation in shift-invariant spaces with deep ReLU neural networks. CoRR (2020)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. CVPR (2020)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. CoRR (2019)
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
Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR (2018)
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
TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis. Comput. Biol. Medicine 99 (2018)
Dongmei Liu, Yunfei Yang, Ying Chen, Hong Zhu, Ian Bayley, Arantza Aldea
Evaluating the Ontological Semantic Description of Web Services Generated from Algebraic Specifications. SOSE (2016)