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Papers
2025
Jing-Hua Yang, Heng-Chao Li*, Meng Ding*, Xi-Le Zhao, and Wen-Yu Hu, "Tensor Multi-Subspace Representation for Remote Sensing Image Mixed Noise Removal", IEEE Transactions on Neural Networks and Learning Systems, 2025. [PDF]
Heng-Chao Li, Jun-Qiu Wang, Si-Jia Xiang, Jing-Hua Yang*, and Qian Du, "Unsupervised Feature Dimensionality Reduction via Latent Low-Rank Embedding Projection for Classification of Hyperspectral Images", IEEE Transactions on Circuits and Systems for Video Technology, 2025. [PDF]
Jin-Yu Yang, Jing-Hua Yang*, Heng-Chao Li, Shaohui Mei, Qian Du, and Antonio Plaza, "Tensorized High-Order Hypergraph Convolutional Network for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-16, 2025. [PDF]
Zhi Xu, Jing-Hua Yang*, Xi-Le Zhao, Xi-hong Yan, and Chuan-long Wang, "Tensor completion via total curvature variation and low-rank matrix factorization", Applied Mathematical Modelling, vol. 150, pp. 116368, 2026. [PDF]
Ze-Chen Li, Heng-Chao Li, Jing-Hua Yang*, Fan Zhang, and Jie Pan, "Multiscale Gaussian Process-Driven Graph Convolutional Neural Network for Polarimetric SAR Image Classification", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 20929-20946, 2025. [PDF]
Meng Ding, Jing-Hua Yang*, Xi-Le Zhao, Jie Zhang, and Michael K. Ng*, "Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering With Insufficient Observed Samples", IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 6, pp. 3583-3597, 2025. [PDF]
Jing-Hua Yang, Yi Zhou, Lefei Zhang, and Heng-Chao Li*, "Mixed-noise robust tensor multi-view clustering via adaptive dictionary learning", Information Fusion, vol. 123, pp. 103322, 2025. [PDF]
Meng Ding, Xi-Le Zhao*, Jing-Hua Yang, Zhengchun Zhou, and Michael K. Ng*, "Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery", SIAM Journal on Imaging Sciences, vol. 18, no. 1, pp. 20-59, 2025. [PDF]
2024
Zhi Xu, Jing-Hua Yang*, Chuan-long Wang, Fu-sheng Wang, and Xi-hong Yan, "Tensor Robust Principal Component Analysis with Total Generalized Variation for High-dimensional Data Recovery", Applied Mathematics and Computation, vol. 483, pp. 128980, 2024. [PDF]
Qian Wang, Hong-Ning Dai*, Jinghua Yang, Cai Guo, Peter Childs, Maaike Kleinsmann, Yike Guo, and Pan Wang, "Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality Evaluation", ACM Comput. Surv., vol. 57, no. 3, pp. 71, 2024. [PDF]
Meng Ding, Jinghua Yang*, and Jin-Jin Mei, "Noisy Tensor Recovery via Nonconvex Optimization with Theoretical Recoverability", Applied Mathematics Letters, vol. 157, pp. 109170, 2024. [PDF]
Le-Le Fu, Sheng Huang, Lei Zhang, Jinghua Yang, Zi-Bin Zheng, Chuan-fu Zhang, and Chuan Chen*, "Subspace-Contrastive Multi-View Clustering", ACM Trans. Knowl. Discov. Data, vol. 18, no. 9, pp. 211, 2024. [PDF]
Sheng Liu, Xi-Le Zhao*, Jin-song Leng, Ben-Zheng Li, Jing-Hua Yang, and Xin-yu Chen, "Revisiting High-Order Tensor Singular Value Decomposition From Basic Element Perspective", IEEE Transactions on Signal Processing, vol. 72, pp. 4589-4603, 2024. [PDF]
Lei Zhang, Lele Fu, Chen Liu, Zhao Yang, Jinghua Yang, Zi-Bin Zheng, and Chuan Chen*, "Toward Few-Label Vertical Federated Learning", ACM Trans. Knowl. Discov. Data, vol. 18, no. 7, pp. 176, 2024. [PDF]
Si-Jia Xiang, Heng-Chao Li, Jing-Hua Yang*, and Xin-Ru Feng*, "Dual Auto-weighted Multi-view Clustering via Autoencoder-like Nonnegative Matrix Factorization", Information Sciences, vol. 667, pp. 120458, 2024. [PDF]
Tian-chi Liao, Jinghua Yang, Chuan Chen*, and Zi-Bin Zheng, "A Neural Tensor Decomposition Model for High-order Sparse Data Recovery", Information Sciences, vol. 658, pp. 120024, 2024. [PDF]
Jin-Yu Yang, Heng-Chao Li*, Jing-Hua Yang*, Lei Pan, Qian Du, and Antonio Plaza, "Multifrequency Graph Convolutional Network With Cross-Modality Mutual Enhancement for Multisource Remote Sensing Data Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024. [PDF]
2023
Sheng Liu, Jin-song Leng, Xi-Le Zhao*, Haijin Zeng, Yao Wang, and Jing-Hua Yang, "Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery", IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 5, pp. 3633-3646, 2024. [PDF]
Jing-Hua Yang, Le-Le Fu, Chuan Chen*, Hong-Ning Dai, Zi-Bin Zheng, "Cross-View Graph Matching for Incomplete Multi-view Clustering", Neurocomputing, vol. 515, pp. 79-88, 2023. [PDF]
2022
Jing-Hua Yang, Chuan Chen*, Hong-Ning Dai*, Meng Ding, Zhebin Wu, Zi-Bin Zheng, "Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-rank Representation", IEEE Transactions on Neural Networks and Learning Systems, 2022. [PDF]
Jing-Hua Yang, Chuan Chen*, Hong-Ning Dai, Le-Le Fu, Zi-Bin Zheng, "A structure noise-aware tensor dictionary learning method for high-dimensional data clustering", Information Sciences, vol. 612, pp. 87-106, 2022. [PDF]
Le-Le Fu, Jing-Hua Yang, Chuan Chen*, Chuan-fu Zhang, "Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering", Information Sciences, vol. 606, pp. 877-891, 2022. [PDF]
Jing-Hua Yang, Chuan Chen*, Hong-Ning Dai, Meng Ding, Le-le Fu, Zi-Bin Zheng, "Hierarchical representation for multi-view clustering: from intra-sample to intra-view to inter-view", In ACM International Conference on Information and Knowledge Management, 2022. [PDF]
2021
Xi-Le Zhao, Jing-Hua Yang, Tian-Hui Ma, Tai-Xiang Jiang*, Michael K. Ng, Ting-Zhu Huang, "Tensor completion via complementary global, local, and nonlocal priors", IEEE Transactions on Image Processing, vol. 31, pp. 984-999, 2021. [PDF]
Meng Ding, Ting-Zhu Huang*, Xi-Le Zhao, Jie Lin, Jing-Hua Yang, "Factor-regularized nonnegative tensor decomposition for blind hyperspectral unmixing", In IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021.
2020
Jing-Hua Yang, Xi-Le Zhao*, Tian-Hui Ma, Meng Ding, Ting-Zhu Huang, "Tensor train rank minimization with hybrid smoothness regularization for visual data recovery", Applied Mathematical Modelling, vol. 81, pp. 711-726, 2020. [PDF]
Jing-Hua Yang, Xi-Le Zhao*, Teng-Yu Ji, Tian-Hui Ma, Ting-Zhu Huang, "Low-rank tensor train for tensor robust principal component analysis", Journal of Applied Mathematics and Computation, vol. 367, pp. 124783, 2020. [PDF]
Jing-Hua Yang, Xi-Le Zhao*, Tian-Hui Ma, Yong Chen, Ting-Zhu Huang, Meng Ding, "Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization", Journal of Computational and Applied Mathematics, vol. 363, pp. 124-144, 2020. [PDF]
Meng Ding, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Jing-Hua Yang, "Cauchy noise removal using group-based low-rank prior", Applied Mathematics and Computation, vol. 372, pp. 124971, 2020. [PDF] [Code]
Meng Ding, Ting-Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, Jing-Hua Yang, "Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation", Journal of Scientific Computing, vol. 81, pp. 941–964, 2020. [PDF] [Code]
2019
Jing-Hua Yang, Xi-Le Zhao*, Tian-Hui Ma, Yong Chen, Ting-Zhu Huang, Meng Ding, "Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise", Journal of Computers and Mathematics with Applications, vol. 77, pp. 1255-1272, 2019. [PDF] [Code]
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