Hengyou Wang

Orcid: 0000-0001-6693-0161

According to our database1, Hengyou Wang authored at least 40 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Key Feature Repairing Based on Self-Supervised for Remote Sensing Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
PU-FPG: Point cloud upsampling via form preserving graph convolutional networks.
J. Intell. Fuzzy Syst., November, 2023

Robust attention ranking architecture with frequency-domain transform to defend against adversarial samples.
Comput. Vis. Image Underst., August, 2023

Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction.
Frontiers Comput. Neurosci., February, 2023

An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction.
Frontiers Comput. Neurosci., February, 2023

Accurate few-shot object counting with Hough matching feature enhancement.
Frontiers Comput. Neurosci., February, 2023

Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement.
Frontiers Comput. Neurosci., February, 2023

Multiscale object detection based on channel and data enhancement at construction sites.
Multim. Syst., 2023

A boundary optimization model of instance segmentation combined with wavelet transform on Buildings.
J. Intell. Fuzzy Syst., 2023

Multivariate time-series anomaly detection via temporal convolutional and graph attention networks.
J. Intell. Fuzzy Syst., 2023

ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series.
J. Intell. Fuzzy Syst., 2023

ICSS: Semantic Segmentation of Remote Sensing Images Based on Image Inpainting and Contrast Self-Supervised.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022
PU-WGCN: Point Cloud Upsampling Using Weighted Graph Convolutional Networks.
Remote. Sens., 2022

Structural smoothness low-rank matrix recovery via outlier estimation for image denoising.
Multim. Syst., 2022

Structural Smoothing Low-Rank Matrix Restoration Based on Sparse Coding and Dual-Weighted Model.
Entropy, 2022

Deep Matrix Factorization Based on Convolutional Neural Networks for Image Inpainting.
Entropy, 2022

Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering.
Appl. Intell., 2022

2021
Removing Adversarial Noise via Low-Rank Completion of High-Sensitivity Points.
IEEE Trans. Image Process., 2021

Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks.
CoRR, 2021

Structure-Oriented Progressive Low-Rank Image Restoration for Defending Adversarial Attacks.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Multi-Matrices Low-Rank Decomposition With Structural Smoothness for Image Denoising.
IEEE Trans. Circuits Syst. Video Technol., 2020

L1-norm low-rank linear approximation for accelerating deep neural networks.
Neurocomputing, 2020

MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern.
Complex., 2020

Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine.
Complex., 2020

2019
A supervised learning to index model for approximate nearest neighbor image retrieval.
Signal Process. Image Commun., 2019

Robust discriminant low-rank representation for subspace clustering.
Soft Comput., 2019

Block Sparse Low-rank Matrix Decomposition based Visual Defect Inspection of Rail Track Surfaces.
KSII Trans. Internet Inf. Syst., 2019

Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising.
IEEE Trans. Image Process., 2018

Low-rank matrix recovery via smooth rank function and its application in image restoration.
Int. J. Mach. Learn. Cybern., 2018

2017
Robust Generalized Low-Rank Decomposition of Multimatrices for Image Recovery.
IEEE Trans. Multim., 2017

Analytic separable dictionary learning based on oblique manifold.
Neurocomputing, 2017

Fast smooth rank function approximation based on matrix tri-factorization.
Neurocomputing, 2017

Separable vocabulary and feature fusion for image retrieval based on sparse representation.
Neurocomputing, 2017

2016
Matric completion based on TV norm regularization and its application in image restoration.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Marker tracking for video-based augmented reality.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2014
Rank adaptive atomic decomposition for low-rank matrix completion and its application on image recovery.
Neurocomputing, 2014

Fast and robust skew correction in scanned document images based on low-rank matrix decompositon.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

2011
Multi-class support vector machines based on the mahalanobis distance.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
Performance analysis of cooperative diversity in hierarchical heterogeneous radio access networks.
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010


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