I am an Associate Professor at the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. I received my Ph.D. degree in Mathematics from the University of Electronic Science and Technology of China in 2022.
🤖 Research Interests
Tensor Modeling and Computing
Low-rank modeling, tensor representation, tensor decompositions, tensor networks, and efficient tensor computation.
Artificial Intelligence and Theory
Model-driven deep learning, learning-enhanced mathematical modeling, numerical optimization, and theoretical analysis.
High-Dimensional Data Processing
Image and video restoration, remote sensing data processing, multisource data analysis, and irregular data processing.
🔔 News
- Sep. 2026 — Our paper was accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence.
- Sep. 2026 — One paper was accepted for publication in IEEE Transactions on Geoscience and Remote Sensing.
- Aug. 2026 — One paper was accepted for publication in IEEE Transactions on Circuits and Systems for Video Technology.
- Aug. 2026 — One paper was accepted for publication in IEEE Transactions on Geoscience and Remote Sensing.
- Jun. 2026 — One paper was accepted for publication in Pattern Recognition.
- May 2026 — One paper was accepted for publication in IEEE Transactions on Multimedia.
Earlier news
- Apr. 2026 — One paper was accepted for publication in IEEE Transactions on Image Processing.
- Feb. 2026 — One paper was accepted by CVPR 2026 as a Poster Highlight.
- Feb. 2026 — One paper was accepted for publication in IEEE Transactions on Circuits and Systems for Video Technology.
- Jan. 2026 — One paper was accepted for publication in Pattern Recognition.
📄 Selected Publications [View All Publications →]
- Book Chapter Yu-Bang Zheng, Jian-Li Wang, Xi-Le Zhao, “Hyperspectral Image Denoising Based on Tensor Models”, in Machine-Learning-Based Hyperspectral Image Processing, Bing Zhang (Book Editor), Wiley, 2026. [Website]
2026
- TPAMI 2026 Yu-Bang Zheng, Xi-Le Zhao*, Heng-Chao Li*, Junhua Zeng, Chao Li, Qibin Zhao, Ting-Zhu Huang, Qing Zhu, “A Structure-Revealing Tensor Network Paradigm and Its Applications”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.
- CVPR 2026 Zhi-Wei Shi, Yu-Bang Zheng*, Heng-Chao Li, “Self-Attention Driven Tensor Representation for High-Order Data Recovery”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [PDF] [Poster] Poster Highlight
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TCSVT 2026 Tian-Yu Ma, Heng-Chao Li, Yu-Bang Zheng*, Lianru Gao, Qian Du, “Low-Rank Tensor Representation Learning Network for Robust Hyperspectral Image Classification against Adversarial Attacks”, IEEE Transactions on Circuits and Systems for Video Technology, 2026. [Website]
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TCSVT 2026 Zhi-Wei Shi, Yu-Bang Zheng, Heng-Chao Li*, Antonio Plaza, “Multidimensional Image Reconstruction via Deep Nonlinear Low-Rank Tensor Decomposition”, IEEE Transactions on Circuits and Systems for Video Technology, 2026. [Website] [Code]
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TGRS 2026 Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Teng-Yu Ji, “Neural Operator-Based Continuous Tensor Representation for Thick Cloud Removal in Multi-Resolution Remote Sensing Images”, IEEE Transactions on Geoscience and Remote Sensing, 2026. [Website]
- TIP 2026 Sheng Liu, Xi-Le Zhao*, Yu-Bang Zheng, “Block Customized Topology Term Decomposition for High-Dimensional Image Reconstruction”, IEEE Transactions on Image Processing, 2026. [Website]
2025
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TGRS 2025 Yu-Bang Zheng, Jia-Le Ma, Heng-Chao Li*, Zhi-Wei Shi, Qing Zhu, “Bilateral Tensor Ring Decomposition for Thick Cloud Removal in Multitemporal Remote Sensing Images”, IEEE Transactions on Geoscience and Remote Sensing, 2025. [Website] [Code]
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Neural Networks 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. [Website]
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TGRS 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, 2025. [Website]
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PR 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, 2025. [Website] [Code]
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SISC 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. [Website]
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TNNLS 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, 2025. [Website]
2024
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CVPR 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), 2024. [Website] [PDF] [Supplementary Material] [Poster] [Code] Poster Highlight, 11.9% of Accepted Papers
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TGRS 2024 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, 2024. [Website]
2023
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TGRS 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, 2023. [Website]
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ISPRS JPRS 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, 2023. [Website] [Code]
2019~2022
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JSC 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, 2022. [Website] [Code] ESI Highly Cited Paper
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AAAI 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”, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021. [Website] [Supplementary Material] [Slide] [Poster] [Code]
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TGRS 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, 2020. [Website] [Code] ESI Highly Cited Paper
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TGRS 2020 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, 2020. [Website] [Code] 2021川渝科技学术大会优秀论文一等奖
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INS 2020 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, 2020. [Website] [Code]
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AMM 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, 2019. [Website] [Code]
🧰 Open-Source Projects
TenNet ToolboxTensor network decomposition algorithms and resources
T-SVD ToolboxTensor SVD models, algorithms, and reproducible code
📖 Education
- 2021.03–2022.12 — Student Trainee, Tensor Learning Team, RIKEN Center for Advanced Intelligence Project; supervisor: Prof. Qibin Zhao.
- 2019.09–2022.12 — Ph.D. in Mathematics, University of Electronic Science and Technology of China; supervisor: Prof. Ting-Zhu Huang.
- 2017.09–2019.07 — M.S. in Mathematics, University of Electronic Science and Technology of China; supervisor: Prof. Ting-Zhu Huang.
- 2013.09–2017.07 — B.S. in Information and Computing Science, Anhui University of Finance and Economics.
💾 Grants
- 国家自然科学基金青年项目, 主持, 2024.01-2026.12
- 四川省自然科学基金青年项目，主持，2024.01-2025.12
- 中国博士后科学基金特别资助项目，主持，2025.08-2026.07
- 中央高校基本业务项目，主持，2024.01-2025.12
🏆 Honors and Awards
- 2025年度教育部自然科学奖二等奖, 排名第三, 中华人民共和国教育部, 2025
- 2024年度四川省自然科学奖三等奖, 排名第三, 四川省人民政府, 2024
- 2021年度川渝科技学术大会优秀论文一等奖, 排名第一, 四川省科协和重庆市科协, 2021 [news]
🌐 Academic Service
- Guest Editor: Optik Special Issue on Recent Trends of Math and Deep Modeling in Multi-Dimensional Image Recovery.
- Reviewer: IEEE TPAMI, IEEE TKDE, IEEE TIP, IEEE TSP, IEEE TNNLS, IEEE TGRS, IEEE TCSVT, IEEE TCI, IEEE TBD, IJCV, NeurIPS, CVPR, AAAI, and over 40 journals and conferences in total.