Publications
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Recent publications
2026
Deep LoRA-Unfolding Networks for Image Restoration
Xiangming Wang, Haijin Zeng, Benteng Sun, Jiezhang Cao, Kai Zhang, Qiangqiang Shen, Yongyong Chen.
IEEE TIP 2026.
2025
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks [Code]
Haijin Zeng, Xiangming Wang, Yongyong Chen, Jingyong Su, Jie Liu.
CVPR 2025.
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing [Code]
Shiyang Zhou, Haijin Zeng, Yunfan Lu, Tong Shao, Ke Tang, Yongyong Chen, Jie Liu, Jingyong Su.
CVPR 2025.
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering [Code]
Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen.
AAAI 2025.
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems [Code]
Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao.
AAAI 2025.
Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement [Code]
Haijin Zeng, Benteng Sun, Yongyong Chen, Jingyong Su, Yong Xu.
ICLR 2025.
2024
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model [Code]
Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen.
CVPR 2024.
Dual Prior Unfolding for Snapshot Compressive Imaging [Code]
Jiancheng Zhang, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao.
CVPR 2024.
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising [Code]
Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen, Hiep Luong, Wilfried Philips.
CVPR 2024.
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging [Code]
Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu.
NeurIPS 2024.
SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging [Code]
Haijin Zeng, Yuxi Liu, Yongyong Chen, Youfa Liu, Chong Peng, Jingyong Su.
ECCV 2024.
Deep Unfolding 3D Non-Local Transformer Network for Hyperspectral Snapshot Compressive Imaging
Zheng Zhou, Zongxin Liu, Yongyong Chen, Bingzhi Chen, Biqing Zeng, Yicong Zhou.
ICME 2024.
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering
Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng.
IJCAI 2024.
Block Image Compressive Sensing with Local and Global Information Interaction [Code]
Xiaoyu Kong, Yongyong Chen, Feng Zheng, Zhenyu He.
AAAI 2024.
Earlier publications
Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix
Yongyong Chen, X Xiao, Y Zhou.
Pattern Recognition 106, 107441.
Hyperspectral Image Denoising by Total Variation-Regularized Bilinear Factorization
Yongyong Chen, Jiaxue Li a, Yicong Zhou.
Signal Processing, 107645.
Graph-regularized least squares regression for multi-view subspace clustering
Yongyong Chen, S Wang, F Zheng, C Yigang.
Knowledge-Based Systems.
Jointly learning kernel representation tensor and affinity matrix for multi-view clustering
Yongyong Chen, X Xiao, Y Zhou.
IEEE Transactions on Multimedia.
Low-Rank Quaternion Approximation for Color Image Processing [Code]
Yongyong Chen, X Xiao, Y Zhou.
IEEE Transactions on Image Processing.
Prior Knowledge Regularized Multiview Self-Representation and Its Applications
X Xiao, Yongyong Chen, YJ Gong, Y Zhou.
IEEE Transactions on Neural Networks and Learning Systems.
Two-Dimensional Quaternion Sparse Discriminant Analysis
X Xiao, Yongyong Chen, YJ Gong, Y Zhou.
IEEE Transactions on Image Processing.
Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization
Yongyong Chen, S Wang, Y Zhou.
IEEE Journal of Selected Topics in Signal Processing 12 (6).
Multi-view Clustering via Simultaneously Learning Graph Regularized Low-Rank Tensor Representation and Affinity Matrix
Yongyong Chen, X Xiao, Y Zhou.
2019 IEEE International Conference on Multimedia and Expo (ICME).
Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation [Code]
Yongyong Chen, Y Guo, Y Wang, D Wang, C Peng, G He.
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5366-5380.
Augmented Lagrangian alternating direction method for low-rank
Yongyong Chen, Y Wang, M Li, G He.
Signal, Image and Video Processing 11 (7), 1271-1278.
Robust Principal Component Analysis with Matrix Factorization
Yongyong Chen, Y Zhou.
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Total Variation Regularized Low-rank Tensor Approximation for Color Image Denoising
Yongyong Chen and Yicong Zhou.
2018 IEEE International Conference on Systems, Man, and Cybernetics.
Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization.pdf
F Xu, Yongyong Chen, C Peng, Y Wang, X Liu, G He.
IEEE Geoscience and Remote Sensing Letters 14 (7), 1141 - 1145.
Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation
F Xu, J Han, Y Wang, M Chen, Yongyong Chen, G He, Y Hu.
IEEE Access 5, 1958-1966.
Image Projection Ridge Regression for Subspace Clustering
C Peng, Z Kang, F Xu, Yongyong Chen, Q Cheng.
IEEE Signal Processing Letters 24 (7), 991-995.
Robust principal component analysis A factorization-based approach with linear complexity
C Peng, Yongyong Chen, Z Kang, C Chen, Q Cheng.
Information Sciences 513, 581-599.