Yunfei Yang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
InstLane Dataset and Geometry-Aware Network for Instance Segmentation of Lane Line Detection.
Remote. Sens., August, 2024

Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model.
Sensors, March, 2024

Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks.
J. Mach. Learn. Res., 2024

On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks.
CoRR, 2024

On the rates of convergence for learning with convolutional neural networks.
CoRR, 2024

TextStyler: A CLIP-based approach to text-guided style transfer.
Comput. Graph., 2024

STMS: An Out-Of-Distribution Model Stealing Method Based on Causality.
Proceedings of the International Joint Conference on Neural Networks, 2024

DualCOS: Query-Efficient Data-Free Model Stealing with Dual Clone Networks and Optimal Samples.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
A Boost-Type Three-Port Resonant Forward Converter With Flexible Power Flow Path Optimization for PV Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2023

EPformer: an efficient transformer-based approach for retail product detection in fisheye images.
J. Electronic Imaging, 2023

Optimal rates of approximation by shallow ReLU<sup>k</sup> neural networks and applications to nonparametric regression.
CoRR, 2023

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

A Data-free Backdoor Injection Approach in Neural Networks.
Proceedings of the 32nd USENIX Security Symposium, 2023

DBIA: Data-Free Backdoor Attack Against Transformer Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

UDBNet: Detecting Unsafe Driving Behaviors Relevant to Urban Traffic Safety.
Proceedings of the 2023 30th International Conference on Geoinformatics, 2023

2022
Evaluation of sports public service under fuzzy integral and deep neural network.
J. Supercomput., 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

The inconsistency of documentation: a study of online C standard library documents.
Cybersecur., 2022

Universality and approximation bounds for echo state networks with random weights.
CoRR, 2022

Learning Distributions by Generative Adversarial Networks: Approximation and Generalization.
CoRR, 2022

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

Power Consumption Forecast of Three Major Industries in China Based on Fractional Grey Model.
Axioms, 2022

2021
DBIA: Data-free Backdoor Injection Attack against Transformer Networks.
CoRR, 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

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Progressive Weight Pruning of Deep Neural Networks using ADMM.
CoRR, 2018

TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis.
Comput. Biol. Medicine, 2018

2016
Evaluating the Ontological Semantic Description of Web Services Generated from Algebraic Specifications.
Proceedings of the 2016 IEEE Symposium on Service-Oriented System Engineering, 2016


  Loading...