Yongyong Chen

According to our database, Yongyong Chen authored at least 89 papers between 2017 and 2024.

Collaborative distances:

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

2024

Self-Completed Bipartite Graph Learning for Fast Incomplete Multi-View Clustering.

Xiaojia Zhao, Qiangqiang Shen, Yongyong Chen, Yongsheng Liang, Junxin Chen, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Double High-Order Correlation Preserved Robust Multi-View Ensemble Clustering.

Xiaojia Zhao, Tingting Xu, Qiangqiang Shen, Youfa Liu, Yongyong Chen, Jingyong Su

ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Robust Tensor Recovery for Incomplete Multi-View Clustering.

Qiangqiang Shen, Tingting Xu, Yongsheng Liang, Yongyong Chen, Zhenyu He

IEEE Trans. Multim., 2024

When Channel Correlation Meets Sparse Prior: Keeping Interpretability in Image Compressive Sensing.

Xiaoyu Kong, Yongyong Chen, Zhenyu He

IEEE Trans. Multim., 2024

RCUMP: Residual Completion Unrolling With Mixed Priors for Snapshot Compressive Imaging.

Yin-Ping Zhao, Jiancheng Zhang, Yongyong Chen, Zhen Wang, Xuelong Li

IEEE Trans. Image Process., 2024

Pick-and-Place Transform Learning for Fast Multi-View Clustering.

Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang

IEEE Trans. Image Process., 2024

Double Discrete Cosine Transform-Oriented Multi-View Subspace Clustering.

Yongyong Chen, Shuqin Wang, Yin-Ping Zhao, C. L. Philip Chen

IEEE Trans. Image Process., 2024

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection.

Weiwei Xiao, Yongyong Chen, Qiben Shan, Yaowei Wang, Jingyong Su

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Block Image Compressive Sensing with Local and Global Information Interaction.

Xiaoyu Kong, Yongyong Chen, Feng Zheng, Zhenyu He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Pose-Aided Video-Based Person Re-Identification via Recurrent Graph Convolutional Network.

Honghu Pan, Qiao Liu, Yongyong Chen, Yunqi He, Yuan Zheng, Feng Zheng, Zhenyu He

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering.

Shuqin Wang, Yongyong Chen, Zhiping Lin, Yigang Cen, Qi Cao

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Global and local similarity learning in multi-kernel space for nonnegative matrix factorization.

Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Knowl. Based Syst., November, 2023

Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory.

Jingyong Su, Junyao Ye, Liqiang Nie, Yilong Cao, Yongyong Chen

IEEE Trans. Knowl. Data Eng., October, 2023

HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer.

Youfa Liu, Shufan Tong, Yongyong Chen

Neural Networks, October, 2023

Laplacian regularized deep low-rank subspace clustering network.

Yongyong Chen, Lei Cheng, Zhongyun Hua, Shuang Yi

Appl. Intell., October, 2023

Deep Dynamic Memory Augmented Attentional Dictionary Learning for Image Denoising.

Zheng Zhou, Yongyong Chen, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Deep and Low-Rank Quaternion Priors for Color Image Processing.

Tingting Xu, Xiaoyu Kong, Qiangqiang Shen, Yongyong Chen, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Saliency Transfer Learning and Central-Cropping Network for Prostate Cancer Classification.

Guokai Zhang, Mengpei Jia, Lin Gao, Jihao Luo, Aijun Zhang, Yongyong Chen, Peipei Shan, Binghui Zhao

Neural Process. Lett., June, 2023

Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion.

Yongyong Chen, Tingting Xu, Xiaojia Zhao, Haijin Zeng, Yanhui Xu, Junxing Chen

Signal Process., May, 2023

Enabling Large-Capacity Reversible Data Hiding Over Encrypted JPEG Bitstreams.

Zhongyun Hua, Ziyi Wang, Yifeng Zheng, Yongyong Chen, Yuanman Li

IEEE Trans. Circuits Syst. Video Technol., March, 2023

Multi-granularity graph pooling for video-based person re-identification.

Honghu Pan, Yongyong Chen, Zhenyu He

Neural Networks, March, 2023

Structured anchor-inferred graph learning for universal incomplete multi-view clustering.

Wenjue He, Zheng Zhang, Yongyong Chen, Jie Wen

World Wide Web (WWW), January, 2023

Ensemble Learning-Based Atrial Fibrillation Detection From Single Lead ECG Wave for Wireless Body Sensor Network.

Yu Liu, Junxin Chen, Bo Fang, Yongyong Chen, Zhihan Lv

IEEE Trans. Netw. Sci. Eng., 2023

AMS-Net: Adaptive Multi-Scale Network for Image Compressive Sensing.

Kuiyuan Zhang, Zhongyun Hua, Yuanman Li, Yongyong Chen, Yicong Zhou

IEEE Trans. Multim., 2023

Bilateral Fast Low-Rank Representation With Equivalent Transformation for Subspace Clustering.

Qiangqiang Shen, Shuangyan Yi, Yongsheng Liang, Yongyong Chen, Wei Liu

IEEE Trans. Multim., 2023

Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering.

Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang

IEEE Trans. Multim., 2023

Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor.

Xuanqi Zhang, Qiangqiang Shen, Yongyong Chen, Guokai Zhang, Zhongyun Hua, Jingyong Su

ACM Trans. Knowl. Discov. Data, 2023

Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering.

Shuqin Wang, Zhiping Lin, Qi Cao, Yigang Cen, Yongyong Chen

IEEE Trans. Image Process., 2023

Toward Complete-View and High-Level Pose-Based Gait Recognition.

Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He

IEEE Trans. Inf. Forensics Secur., 2023

Hyperspectral Anomaly Detection via Structured Sparsity Plus Enhanced Low-Rankness.

Yin-Ping Zhao, Hongyan Li, Yongyong Chen, Zhen Wang, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2023

Cross-Scale-Guided Fusion Transformer for Disaster Assessment Using Satellite Imagery.

Weiwei Xiao, Jingyong Su, Yongyong Chen, Guofeng Cao

IEEE Trans. Geosci. Remote. Sens., 2023

Generalized Nonconvex Low-Rank Tensor Representation for Hyperspectral Anomaly Detection.

Hao Qin, Qiangqiang Shen, Haijin Zeng, Yongyong Chen, Guangming Lu

IEEE Trans. Geosci. Remote. Sens., 2023

Matrix-Based Secret Sharing for Reversible Data Hiding in Encrypted Images.

Zhongyun Hua, Yanxiang Wang, Shuang Yi, Yifeng Zheng, Xingyu Liu, Yongyong Chen, Xinpeng Zhang

IEEE Trans. Dependable Secur. Comput., 2023

Cross-Modality LGE-CMR Segmentation Using Image-to-Image Translation Based Data Augmentation.

Wei Wang, Xinhua Yu, Bo Fang, Yue Zhao, Yongyong Chen, Wei Wei, Junxin Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model.

Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen

CoRR, 2023

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing.

Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips

CoRR, 2023

End-to-end XY Separation for Single Image Blind Deblurring.

Liuhan Chen, Yirou Wang, Yongyong Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PnP-AE: A Plug-and-Play Module for Volumetric Medical Image Segmentation.

Qiankun Li, Xiaolong Huang, Bo Fang, Yani Zhang, Yongyong Chen, Junxin Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Two-Dimensional Parametric Polynomial Chaotic System.

Zhongyun Hua, Yongyong Chen, Han Bao, Yicong Zhou

IEEE Trans. Syst. Man Cybern. Syst., 2022

Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering.

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

IEEE Trans. Signal Inf. Process. over Networks, 2022

Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering.

Yongyong Chen, Xiaolin Xiao, Zhongyun Hua, Yicong Zhou

IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering.

Yongyong Chen, Shuqin Wang, Xiaolin Xiao, Youfa Liu, Zhongyun Hua, Yicong Zhou

IEEE Trans. Multim., 2022

DDCNN: A Deep Learning Model for AF Detection From a Single-Lead Short ECG Signal.

Zhaocheng Yu, Junxin Chen, Yu Liu, Yongyong Chen, Tingting Wang, Robert M. Nowak, Zhihan Lv

IEEE J. Biomed. Health Informatics, 2022

Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization.

Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng

IEEE Trans. Geosci. Remote. Sens., 2022

TCDesc: Learning Topology Consistent Descriptors for Image Matching.

Honghu Pan, Yongyong Chen, Zhenyu He, Fanyang Meng, Nana Fan

IEEE Trans. Circuits Syst. Video Technol., 2022

Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering.

Yongyong Chen, Xiaolin Xiao, Chong Peng, Guangming Lu, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., 2022

Weighted Schatten p-norm minimization with logarithmic constraint for subspace clustering.

Qiangqiang Shen, Yongyong Chen, Yongsheng Liang, Shuangyan Yi, Wei Liu

Signal Process., 2022

Preserving bilateral view structural information for subspace clustering.

Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng

Knowl. Based Syst., 2022

Log-based sparse nonnegative matrix factorization for data representation.

Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Knowl. Based Syst., 2022

How Image Generation Helps Visible-to-Infrared Person Re-Identification?

Honghu Pan, Yongyong Chen, Yunqi He, Xin Li, Zhenyu He

CoRR, 2022

Towards Complete-View and High-Level Pose-based Gait Recognition.

Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He

CoRR, 2022

Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiêp Quang Luong, Wilfried Philips

CoRR, 2022

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization.

Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng

CoRR, 2022

TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model.

Ke Yan, Hongwu Lv, Yichen Guo, Yongyong Chen, Hao Wu, Bin Liu

Bioinform., 2022

Frobenius norm-regularized robust graph learning for multi-view subspace clustering.

Shuqin Wang, Yongyong Chen, Shuang Yi, Guoqing Chao

Appl. Intell., 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

Schatten Graph Neural Networks.

Youfa Liu, Yongyong Chen, Guo Chen, Jiawei Zhang

IEEE Access, 2022

Deep Contrastive Multi-view Subspace Clustering.

Lei Cheng, Yongyong Chen, Zhongyun Hua

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering.

Yongyong Chen, Shuqin Wang, Jingyong Su, Junxin Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

High-Order Correlation Embedding for Large-Scale Multi-modal Hashing.

Junfeng An, Yingjian Li, Zheng Zhang, Yongyong Chen, Guangming Lu

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Prior Knowledge Regularized Multiview Self-Representation and its Applications.

Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou

IEEE Trans. Neural Networks Learn. Syst., 2021

Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction.

Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou

IEEE Trans. Image Process., 2021

Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering.

Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou

IEEE Trans. Image Process., 2021

Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-Modes for Tensor Completion.

Haijin Zeng, Yongyong Chen, Xiaozhen Xie, Jifeng Ning

IEEE Trans. Computational Imaging, 2021

A Multiscale Attention Network for Remote Sensing Scene Images Classification.

Guokai Zhang, Weizhe Xu, Wei Zhao, Chenxi Huang, Eddie Y. K. Ng, Yongyong Chen, Jian Su

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Error-robust low-rank tensor approximation for multi-view clustering.

Shuqin Wang, Yongyong Chen, Yi Jin, Yigang Cen, Yidong Li, Linna Zhang

Knowl. Based Syst., 2021

Learning discriminative representation for image classification.

Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng

Knowl. Based Syst., 2021

Partial Tubal Nuclear Norm Regularized Multi-view Learning.

Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering.

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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Hyperspectral Image Denoising With Log-Based Robust PCA.

Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Jointly Learning Kernel Representation Tensor and Affinity Matrix for Multi-View Clustering.

Yongyong Chen, Xiaolin Xiao, Yicong Zhou

IEEE Trans. Multim., 2020

2D Quaternion Sparse Discriminant Analysis.

Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou

IEEE Trans. Image Process., 2020

Low-Rank Quaternion Approximation for Color Image Processing.

Yongyong Chen, Xiaolin Xiao, Yicong Zhou

IEEE Trans. Image Process., 2020

Hyperspectral image denoising by total variation-regularized bilinear factorization.

Yongyong Chen, Jiaxue Li, Yicong Zhou

Signal Process., 2020

Noninteractive Lightweight Privacy-Preserving Auditing on Images in Mobile Crowdsourcing Networks.

Juan Zhang, Changsheng Wan, Chunyu Zhang, Xiaojun Guo, Yongyong Chen

Secur. Commun. Networks, 2020

Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix.

Yongyong Chen, Xiaolin Xiao, Yicong Zhou

Pattern Recognit., 2020

Graph-regularized least squares regression for multi-view subspace clustering.

Yongyong Chen, Shuqin Wang, Fangying Zheng, Yigang Cen

Knowl. Based Syst., 2020

Robust principal component analysis: A factorization-based approach with linear complexity.

Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Inf. Sci., 2020

2019

Multi-view Clustering via Simultaneously Learning Graph Regularized Low-Rank Tensor Representation and Affinity Matrix.

Yongyong Chen, Xiaolin Xiao, Yicong Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization.

Yongyong Chen, Shuqin Wang, Yicong Zhou

IEEE J. Sel. Top. Signal Process., 2018

Robust PCA Using Matrix Factorization for Background/Foreground Separation.

Shuqin Wang, Yongli Wang, Yongyong Chen, Peng Pan, Zhipeng Sun, Guoping He

IEEE Access, 2018

Total Variation Regularized Low-Rank Tensor Approximation for Color Image Denoising.

Yongyong Chen, Yicong Zhou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Robust Principal Component Analysis with Matrix Factorization.

Yongyong Chen, Yicong Zhou

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation.

Yongyong Chen, Yanwen Guo, Yongli Wang, Dong Wang, Chong Peng, Guoping He

IEEE Trans. Geosci. Remote. Sens., 2017

Image Projection Ridge Regression for Subspace Clustering.

Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng

IEEE Signal Process. Lett., 2017

Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation.

Yongyong Chen, Yongli Wang, Mingqiang Li, Guoping He

Signal Image Video Process., 2017

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization.

Fei Xu, Yongyong Chen, Chong Peng, Yongli Wang, Xuefeng Liu, Guoping He

IEEE Geosci. Remote. Sens. Lett., 2017

Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation.

Fei Xu, Jingqi Han, Yongli Wang, Ming Chen, Yongyong Chen, Guoping He, Yunhong Hu

IEEE Access, 2017