I am currently a Ph.D. student in Mathematics at the University of Electronic Science and Technology of China (UESTC), supervised by Prof. Xi-Le Zhao. My research focuses on high-dimensional tensor representations and theory for scientific computing and data science, with applications in multidimensional image reconstruction and low-rank tensor modeling.

📧 E-mail: liusheng16@163.com

🔔 News

• 2026.10:   I am honored to join the CAST Young Science and Technology Talent Development Program (Doctoral Student Track).
• 2026.08:   Awarded the Outstanding Young Researcher Paper of the Union of Mathematical Imaging.
• 2026.06:   One paper has been accepted by SIAM Journal on Imaging Sciences.
• 2026.04:   One paper is published in IEEE Transactions on Image Processing.
• 2025.10:   Awarded the National Scholarship (Ph.D. student).

📖 Education

• 2024.09–Present: Ph.D. student in Mathematics, University of Electronic Science and Technology of China (UESTC).

• 2022.09–2024.09: M.S. student in Mathematics, University of Electronic Science and Technology of China (UESTC).

• 2018.09–2022.07: B.S. in Information and Computing Science, Northwest A&F University (NWAFU).

📄 Publications

2026

• Sheng Liu (刘盛), Xi-Le Zhao*, Qin Jiang, and Michael K. Ng, “Empowering Tensor Network Decompositions by Nonlinear and Incompatible Tensor Contraction,” SIAM Journal on Imaging Sciences, 2026.

• Sheng Liu (刘盛), Xi-Le Zhao*, and Yu-Bang Zheng, “Block Customized Topology Term Decomposition for High-Dimensional Image Reconstruction,” IEEE Transactions on Image Processing, vol. 35, pp. 4558-4570, 2026. [Website]

• Jun-Xian Kuang^#, Sheng Liu^# (刘盛), Xi-Le Zhao*, Ben-Zheng Li, and Xiu-Fen Fang, “Grouped Tensor Low-Rank Representation for Multi-Dimensional Image Recovery,” Inverse Problems and Imaging, vol. 23, pp. 70-97, 2026. [Website]

• Ting-Wei Zhou, Xi-Le Zhao*, Maolin Che, and Sheng Liu (刘盛), “Mixed-Precision Fully-Connected Tensor Network Decomposition,” Applied Mathematics Letters, vol. 183, article 110068, 2026. [Website]

2025

• Sheng Liu (刘盛), Xi-Le Zhao*, and Hao Zhang, “Block Tensor Ring Decomposition: Theory and Application,” IEEE Transactions on Signal Processing, vol. 73, pp. 3029-3043, 2025. [Website] [Code]

• Sheng Liu (刘盛), Xi-Le Zhao, and Qin Jiang*, “Inconsistent Tensor-Tensor Product for Low-Rank Tensor Factorization,” Applied Mathematics Letters, vol. 173, pp. 109770, 2025. [Website]

• Ruoyang Su, Xi-Le Zhao*, Wei-Hao Wu, Sheng Liu (刘盛), and Junhua He, “Deep Fully-Connected Tensor Network Decomposition for Multi-Dimensional Signal Recovery,” Signal Processing, pp. 109903, 2025. [Website]

• Xiangming Wang, Haijin Zeng*, Jiaoyang Chen, Sheng Liu (刘盛), Yongyong Chen*, and Guoqing Chao, “OTLRM: Orthogonal Learning-based Low-Rank Metric for Multidimensional Inverse Problems,” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 39, no. 20, pp. 21278-21286, 2025. [Website]

2024

• Sheng Liu (刘盛), Xi-Le Zhao*, Jinsong Leng, Ben-Zheng Li, Jing-Hua Yang, and Xinyu Chen, “Revisiting High-Order Tensor Singular Value Decomposition From Basic Element Perspective,” IEEE Transactions on Signal Processing, vol. 72, pp. 4589-4603, 2024. [Website] [Code]

• Sheng Liu (刘盛), Jinsong 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. [Website] [Code]

• Haijin Zeng, Shaoguang Huang, Yongyong Chen*, Sheng Liu (刘盛), Hiep Q. Luong, and Wilfried Philips, “Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 13297-13311, 2024. [Website]

🧰 Projects

• 2026–2027: Tensor decomposition and its applications for complex high-dimensional data, 4X.COM Student Innovation Program, principal investigator.

📌 Patents

• Sheng Liu (刘盛), Xi-Le Zhao, Chuan Wang, “Low-rank corrected matrix inversion method and system for wireless communication precoding computation.”

• Yan Li, Xi-Le Zhao, Chuan Wang, and Sheng Liu (刘盛), “Kernel-method-based fast matrix inversion method, system, and medium for wireless communication.”

🏆 Awards and Honors

• CAST Young Science and Technology Talent Development Program (Doctoral Student Track).
• National Scholarship (Ph.D. student), 2025.
• National Scholarship (M.S. student), 2023.
• Outstanding Young Researcher Paper, Union of Mathematical Imaging, 2026.
• Outstanding Report, Graduate Academic Salon, China Society of Image and Graphics, 2025.
• “Academic Seedling”, University of Electronic Science and Technology of China, 2024.
• Top-100 Excellent Graduation Thesis, Northwest A&F University, 2022.

🎤 Talks

• 2026.08: “Empowering Tensor Network Decompositions by Nonlinear and Incompatible Tensor Contraction,” 2026 Annual Conference of the Union of Mathematical Imaging (UMI), Xinxiang, Henan, China. Oral presentation. Outstanding Young Researcher Paper Award.

• 2026.07: “Empowering Tensor Network Decompositions by Nonlinear and Incompatible Tensor Contraction,” 4th Conference on Machine Learning and Statistics (MLSTAT 2026), Chengdu, Sichuan, China. Poster presentation.

• 2026.01: “Block Tensor Ring Decomposition: Theory and Application,” UESTC Doctoral Interdisciplinary Forum, Chengdu, China.

• 2025.09: “Block Tensor Ring Decomposition: Theory and Application,” Graduate Academic Salon of the China Society of Image and Graphics, online. Outstanding Report.

• 2025.05: “Revisiting High-Order Tensor Singular Value Decomposition From Basic Element Perspective,” Doctoral Forum of the National Tianyuan Mathematics Southwest Center, Chengdu, China. Oral presentation.

• 2024.10: “Revisiting High-Order Tensor Singular Value Decomposition From Basic Element Perspective,” CSIAM Annual Meeting, Nanjing, China. Poster presentation and student forum.

⌨ Service

• IEEE Transactions on Signal Processing, Reviewer.
• IEEE Transactions on Circuits and Systems for Video Technology, Reviewer.
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Reviewer.
• Knowledge-Based Systems, Reviewer.
• Signal, Image and Video Processing, Reviewer.
• Machine Vision and Applications, Reviewer.
• AAAI, Program Committee Member.
• ICASSP, Reviewer.
• IJCNN, Reviewer.
• …