Quan Yu 余泉
Quan Yu 余泉
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General Decomposition Pursuit Algorithm for Linear Inverse Problems
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection
Low rank tensor representation (LRTR) methods are very useful for hyperspectral anomaly detection (HAD). However, existing LRTR methods often overlook spectral anomaly and rely on computationally expensive large-scale matrix singular value …
Data-Driven Tensor Dictionary Learning for Image Alignment
Submitted to Journal:2024-01-03 Major Revision:2024-11-06 Accepted:2025-01-07
Efficient Low Rank Matrix Recovery with Flexible Group Sparse Regularization
Submitted to Journal:2024-02-29 Major Revision:2024-07-05 Minor Revision:2024-11-12 Accepted:2024-12-03
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint
Submitted to Journal:2023-06-20 Major Revision:2023-09-18 Accepted:2024-01-19
Tensor Factorization Based Method for Tensor Completion with Spatio-Temporal Characterization
Submitted to Journal:2021-08-19 Major Revision:2022-08-21 Minor Revision:2023-03-30 Accepted:2023-07-26
Low Rank Tensor Recovery via Non-convex Regularization, Structured Factorization and Spatio-Temporal Characteristics
Submitted to Journal:2022-10-05 Major revision:2022-11-28 Accepted:2023-01-12
Nonconvex Optimization for Third-Order Tensor Completion Under Wavelet Transform
Submitted to Journal:2022-08-27 Minor Revision:2022-10-26 Accepted:2022-12-24
T-product Factorization Based Method for Matrix and Tensor Completion Problems
Submitted to Journal:2022-05-16 Major revision:2022-08-13 Accepted:2022-11-14
Low Tucker Rank Tensor Completion Using a Symmetric Block Coordinate Descent Method
Submitted to Journal:2021-11-17 Major revision:2022-04-04 Accepted:2022-07-11
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