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 research interests include tensor modeling and computing, tensor learning, and high-dimensional data processing.

📢 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 700+

🔔 News

  • 2024.02:   One paper is accepted by CVPR 2024.

🧰 Projects

                       

📄 Publications

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", CVPR, 2024. [PDF] (Poster-Highlight, 11.9% of Accepted Papers)

  • 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", IGARSS 2024, accepted.

  • 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] [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 Circuits and Systems for Video Technology (IEEE TCSVT), Reviewer
  • IEEE Transactions on Network Science and Engineering (IEEE TNSE), Reviewer
  • Mathematical Reviews, Reviewer
  • Signal Processing, Reviewer
  • IEEE Signal Processing Letters, Reviewer
  • IEEE Geoscience and Remote Sensing Letters, Reviewer
  • Applied Mathematical Modeling, Reviewer
  • Information Systems, Reviewer
  • Machine Learning, Reviewer
  • Statistical Papers, Reviewer
  • Neural Processing Letters, Reviewer
  • ACML 2021, 2022, Reviewer
  • … …

🤝 Co-authors