I am currently working with the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. I received the Ph.D. degree (advised by Ting-Zhu Huang) from the School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China, in 2022.

My current interests include high-dimensional image processing, machine learning and its theoretical foundations, tensor modeling and computing.

📢 Self-motivated students are welcome to join my research group. Please feel free to contact me.

📧 E-mail: zhengyubang@163.com; yubangzheng@swjtu.edu.cn   🎓 Google Scholar: citations 1000+

🔔 News

  • 2025.06:   One paper is accepted by Neural Networks.
  • 2025.06:   One paper is accepted by IEEE Transactions on Big Data.
  • 2025.05:   One paper is accepted by Pattern Recognition.
  • 2025.04:   One paper is accepted by SIAM Journal on Scientific Computing.
  • 2024.12:   One paper is accepted by IEEE Transactions on Neural Networks and Learning Systems.
  • 2024.10:   One paper is accepted by IEEE Transactions on Geoscience and Remote Sensing.

🧰 Projects

                       

📄 Publications

2025

  • Yu-Bang Zheng, Xi-Le Zhao*, Heng-Chao Li*, Chao Li, Ting-Zhu Huang, Qibin Zhao, "Tensor Network Decomposition for Data Recovery: Recent Advancements and Future Prospects", Neural Networks, 2025.

  • Zhi-Wei Shi, Yu-Bang Zheng*, Yi Zhang, Heng-Chao Li, "Multidimensional Nonlinear Transform-Based Tensor Representation for High-Dimensional Image Reconstruction", Pattern Recognition, vol. 168, pp. 111734, 2025.

  • Chuan Wang, Xi-Le Zhao*, Yu-Bang Zheng, Ben-Zheng Li, Michael K. Ng, "Functional Tensor Singular Value Decomposition", SIAM Journal on Scientific Computing, 2025.

  • Tian-Yu Ma, Heng-Chao Li*, Yu-Bang Zheng, Qian Du, Antonio Plaza, "Fully Tensorized Lightweight ConvLSTM Neural Networks for Hyperspectral Image Classification", IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2024.3511575, pp. 1-15, 2025.

  • Shi-Jun Yang, Yu-Bang Zheng*, Heng-Chao Li, Yong Chen, Qing Zhu, "Spectral–Temporal Consistency Prior for Cloud Removal From Remote Sensing Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 63, art no. 5400212, pp. 1-12, 2025.

  • Wei-Jian Huang, Li Huang, Tai-Xiang Jiang*, Yu-Bang Zheng, Guisong Liu, "Efficient FCTN Decomposition with Structural Sparsity for Noisy Tensor Completion", IEEE Transactions on Big Data, 2025.

2024

  • Yu-Bang Zheng, Xi-Le Zhao*, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang, "SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 26254-26263, 2024. [PDF] [Supplementary Material] [Poster] (Poster-Highlight, 11.9% of Accepted Papers)

  • Jia-Jie Yin, Heng-Chao Li, Yu-Bang Zheng*, Gui Gao, Yuxin Hu, Ran Tao, "Spatial-Temporal Weighted and Regularized Tensor Model for Infrared Dim and Small Target Detection", IEEE Transactions on Geoscience and Remote Sensing, vol. 62, art no. 5005317, pp. 1-17, 2024.

  • Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Ting-Zhu Huang, "Provable Stochastic Algorithm for Large-Scale Fully-Connected Tensor Network Decomposition", Journal of Scientific Computing, vol. 98, art no. 16, pp. 1-27, 2024.

  • Wen-Jie Zheng, Xiao-Xuan Bai, Yu-Bang Zheng, Ya-Ru Fan, Ting-Zhu Huang, Xi-Le Zhao*, "Feature-Domain Fidelity and Tensor Low-Rank Regularization for Cloud Removal in Remote Sensing Images", IEEE International Geoscience and Remote Sensing Symposium, pp. 8274-8277, 2024.

  • Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, Yu-Bang Zheng, "Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network", IEEE Transactions on Geoscience and Remote Sensing, vol. 62, art no. 5506613, pp. 1-13, 2024.

2023

  • Li-Yuan Li, Ting-Zhu Huang*, Yu-Bang Zheng*, Wen-Jie Zheng, Jie Lin, Guo-Cheng Wu, Xi-Le Zhao, "Thick Cloud Removal for Multitemporal Remote Sensing Images: When Tensor Ring Decomposition Meets Gradient Domain Fidelity", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, art no. 5512414, pp. 1-14, 2023. [PDF]

  • Yu-Le Wei, Yu-Bang Zheng*, Rui Wang, Heng-Chao Li, "Quaternion Convolutional Neural Network with EMAP Representation for Multisource Remote Sensing Data Classification", IEEE Geoscience and Remote Sensing Letters, 2023.

  • Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Jie Lin, Lina Zhuang, Ting-Zhu Huang, "Spatial-Spectral-Temporal Connective Tensor Network Decomposition for Thick Cloud Removal", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 199, pp. 182-194, 2023. [PDF] [Code]

  • Yun-Yang Liu, Xi-Le Zhao*, Guang-Jin Song, Yu-Bang Zheng, Michael K. Ng, Ting-Zhu Huang, "Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem", Inverse Problems and Imaging, 2023.

  • Hao Zhang, Ting-Zhu Huang*, Xi-Le Zhao*, Wei He, Jae Kyu Choi, Yu-Bang Zheng, "Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, art no. 5502313, pp. 1-13, 2023.

  • Peng-Ling Wu, Xi-Le Zhao*, Meng Ding, Yu-Bang Zheng, Lu-Bin Cui, Ting-Zhu Huang, "Tensor Ring Decomposition-Based Model with Interpretable Gradient Factors Regularization for Tensor Completion", Knowledge-Based Systems, vol. 259, pp. 110094, 2023.

  • Peng-Ling Wu, Meng Ding*, Yu-Bang Zheng, "Spatiotemporal Traffic Data Imputation by Synergizing Low Tensor Ring Rank and Nonlocal Subspace Regularization", IET Intelligent Transport Systems, 2023.

2022

  • Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Qibin Zhao, "Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors", Journal of Scientific Computing, vol. 92, art no. 8, pp. 1-35, 2022. [PDF] [Code]

  • Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng*, Zhi-Feng Pang, "Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Multispectral Image Inpainting", IEEE Geoscience and Remote Sensing Letters, vol. 19, art no. 8025105, pp. 1-5, 2022. [PDF] [Code]

  • Yun-Yang Liu, Xi-Le Zhao*, Yu-Bang Zheng, Tian-Hui Ma, Hongyan Zhang, "Hyperspectral Image Restoration by Tensor Fibered Rank Constrained Optimization and Plug-and-Play Regularization", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5500717, pp. 1-17, 2022. [Code] (ESI Highly Cited Paper)

  • Yu-Chun Miao, Xi-Le Zhao*, Xiao Fu*, Jian-Li Wang, Yu-Bang Zheng, "Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5513916, pp. 1-16, 2022.

  • Wei-Hao Wu, Ting-Zhu Huang*, Xi-Le Zhao*, Jian-Li Wang, Yu-Bang Zheng, "Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5545514, pp. 1-14, 2022.

2021

  • Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Qibin Zhao, Tai-Xiang Jiang, "Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion", in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 12, pp. 11071-11078, 2021. [PDF] [Supplementary Material] [Slide] [Poster] [Code]

  • Xin Li, Ting-Zhu Huang*, Xi-Le Zhao*, Teng-Yu Ji, Yu-Bang Zheng, Liang-Jian Deng, "Adaptive Total Variation and Second-Order Total Variation-Based Model for Low-Rank Tensor Completion", Numerical Algorithms, vol. 86, pp. 1-24, 2021.

  • Lin Guo, Xi-Le Zhao*, Xian-Ming Gu, Yong-Liang Zhao, Yu-Bang Zheng, Ting-Zhu Huang, "Three-Dimensional Fractional Total Variation Regularized Tensor Optimized Model for Image Deblurring", Applied Mathematics and Computation, vol. 404, pp. 126224, 2021.

  • Jie Lin, Ting-Zhu Huang*, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, Yu-Bang Zheng, "A Novel Non-Convex Low-Rank Tensor Approximation Model for Hyperspectral Image Restoration", Applied Mathematics and Computation, vol. 408, pp. 126342, 2021.

  • Yisi Luo, Xi-Le Zhao*, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang, "Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Unsupervised Deep Image Prior", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 9435-9449, 2021.

2020

  • Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Tai-Xiang Jiang, Tian-Hui Ma, Teng-Yu Ji, "Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 1, pp. 734-749, 2020. [PDF] [Code] (ESI Highly Cited Paper)

  • Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Yong Chen, Wei He, "Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 12, pp. 8450-8464, 2020. [PDF] [Code] (2021渝科技学术大会优秀论文一等奖)

  • Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma, "Tensor N-tubal Rank and Its Convex Relaxation for Low-Rank Tensor Recovery", Information Sciences, vol. 532, pp. 170-189, 2020. [PDF] [Code]

2019

  • Yu-Bang Zheng, Ting-Zhu Huang*, Teng-Yu Ji, Xi-Le Zhao*, Tai-Xiang Jiang, Tian-Hui Ma, "Low-Rank Tensor Completion via Smooth Matrix Factorization", Applied Mathematical Modelling, vol. 70, pp. 677-695, 2019. [PDF] [Code]

  • Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Tai-Xiang Jiang, Jie Huang, "Hyperspectral Image Denoising via Convex Low-Fibered-Rank Regularization", in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, pp. 222-225. (Oral) [Slide] [Code]

  • Xiao-Tong Li, Xi-Le Zhao*, Tai-Xiang Jiang, Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang, "Low-Rank Tensor Completion via Combined Non-local Self-Similarity and Low-Rank Regularization", Neurocomputing, vol. 367, pp. 1-12, 2019.

  • Jian-Li Wang, Ting-Zhu Huang*, Xi-Le Zhao*, Jie Huang, Tian-Hui Ma, Yu-Bang Zheng, "Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 12, pp. 4951-4963, 2019. [Code]

  • Tian Lu, Xi-Le Zhao*, Yu-Bang Zheng, Meng Ding, Xiao-Tong Li, "Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity", in IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019, pp. 1-5. (Oral)

📖 Educations

  • 2021.03-2022.12: Tensor Learning Team, RIKEN Center for Advanced Intelligence Project (AIP); Student trainee in Computer Science
    Supervisor: Prof. Qibin Zhao
  • 2019.09-2022.12: University of Electronic Science and Technology of China (UESTC); Ph. D. student in Applied Mathematics
    Supervisor: Prof. Ting-Zhu Huang (黄廷祝教授)
  • 2017.09-2019.07: University of Electronic Science and Technology of China (UESTC); Master student in Applied Mathematics
    Supervisor: Prof. Ting-Zhu Huang (黄廷祝教授)
  • 2013.09-2017.07: Anhui University of Finance and Economics (AUFE); Bachelor student in Information and Computing Science

💾 Fundings

  • National Natural Science Foundation of China, Youth Program, Principal Investigator (国家自然科学基金青年项目, 主持), 2024.01-2026.12
  • National Natural Science Foundation of China, General Program, Participant (国家自然科学基金面上项目, 参与), 2019.01-2022.12, 2022.01-2025.12, 2024.01-2027.12

🏆 Awards and Honors

  • First Prize of Outstanding Paper in the Second Sichuan-Chongqing Science and Technology Conference (第二届川渝科技学术大会优秀论文一等奖, 排名第一), Sichuan and Chongqing Associations for Science and Technology, 2021 [news]
  • Second Prize of the Second Postgraduate Academic Forum of Journal of Image and Graphics (第二届中国图象图形学报研究生学术论坛二等奖 ), Journal of Image and Graphics, 2022
  • Excellent Graduate in Sichuan (四川省优秀毕业生), UESTC, 2023
  • Wuliangye Innovation Scholarship (五粮液创新奖学金, 2万元), UESTC, 2021
  • Academic Rookie (学术新秀), UESTC, 2021
  • National Scholarship for Ph. D. student (博士研究生国家奖学金), UESTC, 2020
  • First-Class Academic Scholarship (学业一等奖学金), UESTC, 2020
  • Special Postgraduate Scholarship of Science (理科特别奖学金), UESTC, 2019

🌐 Academic Activities

🎤 Reports

  • 2021.02: "Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion", AAAI 2021, Online [Slide]

  • 2019.07: "Hyperspectral Image Denoising via Convex Low-Fibered-Rank Regularization", IGARSS 2019, Yokohama, Japan (Oral) [Slide]

⌨ Editor and Reviewer

  • Optik (Special Issues–Recent Trends of Math and Deep Modeling in Multi-Dimensional Image Recovery: Theory, Models, Algorithms, and Applications), Guest Editor
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), Reviewer
  • International Journal of Computer Vision (IJCV), Reviewer
  • IEEE Transactions on Image Processing (IEEE TIP), Reviewer
  • IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Reviewer
  • IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), Reviewer
  • IEEE Transactions on Computational Imaging (IEEE TCI), Reviewer
  • IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Reviewer
  • IEEE Transactions on Network Science and Engineering (IEEE TNSE), Reviewer
  • ISPRS Journal of Photogrammetry and Remote Sensing, Reviewer
  • Mathematical Reviews, Reviewer
  • Signal Processing, Reviewer
  • Pattern Recognition, Reviewer
  • Knowledge-Based Systems, Reviewer
  • IEEE Signal Processing Letters, Reviewer
  • IEEE Geoscience and Remote Sensing Letters, Reviewer
  • Journal of Visual Communication and Image Representation, Reviewer
  • Applied Mathematical Modeling, Reviewer
  • Applied Mathematics and Computation, Reviewer
  • Information Systems, Reviewer
  • Machine Learning, Reviewer
  • Statistical Papers, Reviewer
  • Journal of Computational Science, Reviewer
  • Neurocomputing, Reviewer
  • Neural Processing Letters, Reviewer
  • ACML 2021, 2022, Reviewer
  • … …

🤝 Co-authors