Publications

Yun-Bin Zhao, Zhong-Feng Sun, Xin Liu, Quan Yu (2026). General Decomposition Pursuit Algorithm for Linear Inverse Problems. Inverse Problems.

Quan Yu, Yu-Hong Dai, Minru Bai (2025). Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection. SIAM Journal on Imaging Sciences.

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Quan Yu, Minru Bai (2025). Data-Driven Tensor Dictionary Learning for Image Alignment. Journal of Scientific Computing.

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Quan Yu, Minru Bai, Xinzhen Zhang (2024). Efficient Low Rank Matrix Recovery with Flexible Group Sparse Regularization. IMA Journal of Numerical Analysis.

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Quan Yu, Minru Bai (2024). Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint. SIAM Journal on Imaging Sciences 　 (2024湖南省运筹学会优秀论文一等奖) .

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Quan Yu, Xinzhen Zhang, Zheng-Hai Huang (2023). Tensor Factorization Based Method for Tensor Completion with Spatio-Temporal Characterization. Journal of Optimization Theory and Applications.

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Quan Yu, Ming Yang (2023). Low Rank Tensor Recovery via Non-convex Regularization, Structured Factorization and Spatio-Temporal Characteristics. Pattern Recognition.

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Quan Yu, Minru Bai (2023). Nonconvex Optimization for Third-Order Tensor Completion Under Wavelet Transform. Numerical Linear Algebra with Applications.

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Quan Yu, Xinzhen Zhang (2022). T-product Factorization Based Method for Matrix and Tensor Completion Problems. Computational Optimization and Applications.

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Quan Yu, Xinzhen Zhang, Yannan Chen, Liqun Qi (2022). Low Tucker Rank Tensor Completion Using a Symmetric Block Coordinate Descent Method. Numerical Linear Algebra with Applications.

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Quan Yu (2022). 低秩矩阵与张量补全问题及其应用. 硕士毕业论文.

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Huiyuan Guo, Quan Yu, Xinzhen Zhang, Lulu Cheng (2022). Low Rank Matrix Minimization with a Truncated Difference of Nuclear Norm and Frobenius Norm Regularization. Journal of Industrial and Management Optimization.

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Quan Yu, Xinzhen Zhang (2022). A Smoothing Proximal Gradient Algorithm For Matrix Rank Minimization Problem. Computational Optimization and Applications.

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