• Biography
• Publications
  • Journal Articles
  • Conference Papers
• Education
• Awards and Honors
• Reports

Biography

Publications

Journal Articles

• Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Zhebin Wu, Zibin 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, Le-Le Fu, Chuan Chen, Hong-Ning Dai, Zibin Zheng, “Cross-View Graph Matching for Incomplete Multi-view Clustering”, Neurocomputing, vol. 515, pp. 79-88, 2023. [PDF]

• Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Le-Le Fu, Zibin 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]

• 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]

• 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]

• 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]

• 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]

Conference Papers

• Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Le-le Fu, Zibin 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]

• 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. [PDF]

Education

• 09/2020-Current: Macau University of Science and Technology (MUST); Ph. D. student in Faculty of Information Technology (Supervisor: Prof. Hong-Ning Dai)

• 09/2019-06/2020: Chengdu College of University of Electronic Science and Technology of China; Teaching assistant in College of Arts and Sciences

• 09/2016-06/2019: University of Electronic Science and Technology of China (UESTC); Master student in Applied Mathematics (Supervisor: Prof. Xi-Le Zhao

• 09/2012-06/2016: Taiyuan Normal University; Bachelor student in Mathematics and Applied Mathematics

Awards and Honors

• Participate in Academic Research Grants (PGS), MUST, 2020-2023
• First-class academic scholarship, UESTC, 2018
• First-class academic scholarship, UESTC, 2017

Reports