Hengyou Wang

According to our database, Hengyou Wang authored at least 47 papers between 2010 and 2024.

Collaborative distances:

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

2024

DMFNet: deep matrix factorization network for image compressed sensing.

Hengyou Wang, Haocheng Li, Xiang Jiang

Multim. Syst., August, 2024

Global and edge enhanced transformer for semantic segmentation of remote sensing.

Hengyou Wang, Xiao Li, Lianzhi Huo, Changmiao Hu

Appl. Intell., April, 2024

Low-rank matrix recovery with total generalized variation for defending adversarial examples.

Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng

Frontiers Inf. Technol. Electron. Eng., March, 2024

Style-Enhanced Transformer for Image Captioning in Construction Scenes.

Kani Song, Linlin Chen, Hengyou Wang

Entropy, March, 2024

Multiscale Hyperspectral Pansharpening Network Based on Dual Pyramid and Transformer.

Hengyou Wang, Jie Zhang, Lian-Zhi Huo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Key Feature Repairing Based on Self-Supervised for Remote Sensing Semantic Segmentation.

Hengyou Wang, Xiao Li, Lian-Zhi Huo

IEEE Geosci. Remote. Sens. Lett., 2024

Irregular adaptive refinement network for semantic segmentation of high-resolution remote sensing images.

Lulu Deng, Changlun Zhang, Qiang He, Hengyou Wang, Lianzhi Huo, Haibing Mu

J. Intell. Fuzzy Syst., 2024

ragBERT: Relationship-aligned and grammar-wise BERT model for image captioning.

Hengyou Wang, Kani Song, Xiang Jiang, Zhiquan He

Image Vis. Comput., 2024

2023

PU-FPG: Point cloud upsampling via form preserving graph convolutional networks.

Haochen Wang, Changlun Zhang, Shuang Chen, Hengyou Wang, Qiang He, Haibing Mu

J. Intell. Fuzzy Syst., November, 2023

Robust attention ranking architecture with frequency-domain transform to defend against adversarial samples.

Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Changlun Zhang

Comput. Vis. Image Underst., August, 2023

Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction.

Zhiquan He, Lujun Zhang, Hengyou Wang

Frontiers Comput. Neurosci., February, 2023

An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction.

Zhiquan He, Lujun Zhang, Hengyou Wang

Frontiers Comput. Neurosci., February, 2023

Accurate few-shot object counting with Hough matching feature enhancement.

Zhiquan He, Donghong Zheng, Hengyou Wang

Frontiers Comput. Neurosci., February, 2023

Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement.

Zhiquan He, Donghong Zheng, Hengyou Wang

Frontiers Comput. Neurosci., February, 2023

Multiscale object detection based on channel and data enhancement at construction sites.

Hengyou Wang, Yanfei Song, Lianzhi Huo, Linlin Chen, Qiang He

Multim. Syst., 2023

A boundary optimization model of instance segmentation combined with wavelet transform on Buildings.

Chenchen Shi, Changlun Zhang, Lulu Deng, Qiang He, Hengyou Wang, Lianzhi Huo

J. Intell. Fuzzy Syst., 2023

Multivariate time-series anomaly detection via temporal convolutional and graph attention networks.

Qiang He, Guanqun Wang, Hengyou Wang, Linlin Chen

J. Intell. Fuzzy Syst., 2023

ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series.

Qiang He, Guanqun Wang, Lianzhi Huo, Hengyou Wang, Changlun Zhang

J. Intell. Fuzzy Syst., 2023

ICSS: Semantic Segmentation of Remote Sensing Images Based on Image Inpainting and Contrast Self-Supervised.

Xiao Li, Hengyou Wang, Lian-Zhi Huo

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.

Fan Gu, Changlun Zhang, Hengyou Wang, Qiang He, Lianzhi Huo

Remote. Sens., 2022

Structural smoothness low-rank matrix recovery via outlier estimation for image denoising.

Hengyou Wang, Wen Li, Lujin Hu, Changlun Zhang, Qiang He

Multim. Syst., 2022

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

Jiawei Wu, Hengyou Wang

Entropy, 2022

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

Xiaoxuan Ma, Zhiwen Li, Hengyou Wang

Entropy, 2022

Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering.

Shuqin Wang, Yongyong Chen, Yigang Cen, Linna Zhang, Hengyou Wang, Viacheslav V. Voronin

Appl. Intell., 2022

2021

Removing Adversarial Noise via Low-Rank Completion of High-Sensitivity Points.

Zhiqun Zhao, Hengyou Wang, Hao Sun, Jianhe Yuan, Zhongchao Huang, Zhihai He

IEEE Trans. Image Process., 2021

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

Zhiqun Zhao, Hengyou Wang, Hao Sun, Zhihai He

CoRR, 2021

Structure-Oriented Progressive Low-Rank Image Restoration for Defending Adversarial Attacks.

Zhiqun Zhao, Hengyou Wang, Hao Sun, Wenming Cao, Zhihai He

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Multi-Matrices Low-Rank Decomposition With Structural Smoothness for Image Denoising.

Hengyou Wang, Yang Li, Yigang Cen, Zhihai He

IEEE Trans. Circuits Syst. Video Technol., 2020

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

Zhiqun Zhao, Hengyou Wang, Hao Sun, Zhihai He

Neurocomputing, 2020

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

Qiang He, Y. J. Zheng, Changlun Zhang, Heng-You Wang

Complex., 2020

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

Qiang He, Qingshuo Zhang, Hengyou Wang, Changlun Zhang

Complex., 2020

2019

A supervised learning to index model for approximate nearest neighbor image retrieval.

Shichao Kan, Lihui Cen, Xinwei Zheng, Yigang Cen, Zhenmin Zhu, Hengyou Wang

Signal Process. Image Commun., 2019

Robust discriminant low-rank representation for subspace clustering.

Xian Zhao, Gaoyun An, Yigang Cen, Hengyou Wang, Ruizhen Zhao

Soft Comput., 2019

Block Sparse Low-rank Matrix Decomposition based Visual Defect Inspection of Rail Track Surfaces.

Linna Zhang, Shiming Chen, Yigang Cen, Yi Cen, Hengyou Wang, Ming Zeng

KSII Trans. Internet Inf. Syst., 2019

Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine.

Qiang He, Qingshuo Zhang, Hengyou Wang

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.

Hengyou Wang, Yigang Cen, Zhiquan He, Zhihai He, Ruizhen Zhao, Fengzhen Zhang

IEEE Trans. Image Process., 2018

Low-rank matrix recovery via smooth rank function and its application in image restoration.

Hengyou Wang, Ruizhen Zhao, Yigang Cen, Liequan Liang, Qiang He, Fengzhen Zhang, Ming Zeng

Int. J. Mach. Learn. Cybern., 2018

2017

Robust Generalized Low-Rank Decomposition of Multimatrices for Image Recovery.

Hengyou Wang, Yigang Cen, Zhihai He, Ruizhen Zhao, Yi Cen, Fengzhen Zhang

IEEE Trans. Multim., 2017

Analytic separable dictionary learning based on oblique manifold.

Fengzhen Zhang, Yigang Cen, Ruizhen Zhao, Hengyou Wang, Yi Cen, Lihong Cui, Shaohai Hu

Neurocomputing, 2017

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

Hengyou Wang, Yigang Cen, Ruizhen Zhao, Viacheslav V. Voronin, Fengzhen Zhang, Yanhong Wang

Neurocomputing, 2017

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

Yanhong Wang, Yigang Cen, Rui-Zhen Zhao, Yi Cen, Shaohai Hu, Viacheslav V. Voronin, Hengyou Wang

Neurocomputing, 2017

2016

Matric completion based on TV norm regularization and its application in image restoration.

Heng-You Wang, Rui-Zhen Zhao, Yi-Gang Cen, Qiang He

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Marker tracking for video-based augmented reality.

Yan-Fei Gao, Heng-You Wang, Xiao-Ning Bian

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.

Hengyou Wang, Ruizhen Zhao, Yigang Cen

Neurocomputing, 2014

Fast and robust skew correction in scanned document images based on low-rank matrix decompositon.

Hengyou Wang, Rui-Zhen Zhao, Jing-An Cui

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

2011

Multi-class support vector machines based on the mahalanobis distance.

Heng-You Wang, Yan-Fei Gao, Changlun Zhang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Performance analysis of cooperative diversity in hierarchical heterogeneous radio access networks.

Hengyou Wang, Mugen Peng, Wenbo Wang, Hequan Wu

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010