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Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

Magnetic resonance in medicine, 2015-03, Vol.73 (3), p.1125-1136

2015

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P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data

Magnetic resonance in medicine, 2016-04, Vol.75 (4), p.1499-1514

2016

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An overview of the estimation of large covariance and precision matrices

The econometrics journal, 2016-02, Vol.19 (1), p.C1-C32

2016

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Topological Interference Management With Inaccurate Topology of Network

IEEE communications letters, 2021-11, Vol.25 (11), p.3724-3728

2021

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Euclidean Representation of Low-Rank Matrices and Its Geometric Properties

SIAM journal on matrix analysis and applications, 2023-01, Vol.44 (2), p.822-866

Xie, Fangzheng

2023

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LORAKS makes better SENSE: Phase‐constrained partial fourier SENSE reconstruction without phase calibration

Magnetic resonance in medicine, 2017-03, Vol.77 (3), p.1021-1035

2017

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Spatial Correlation Constrained Low-rank Modeling for SAR Image Change Detection

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1

2024

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Hierarchical nuclear norm penalization for multi‐view data integration

Biometrics, 2023-12, Vol.79 (4), p.2933-2946

2023

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Accelerating structural dynamics simulations with localised phenomena through matrix compression and projection‐based model order reduction

International journal for numerical methods in engineering, 2024-05, Vol.125 (10), p.n/a

2024

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Similarity-Maintaining Privacy Preservation and Location-Aware Low-Rank Matrix Factorization for QoS Prediction Based Web Service Recommendation

IEEE transactions on services computing, 2021-05, Vol.14 (3), p.889-902

2021

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Wave‐LORAKS: Combining wave encoding with structured low‐rank matrix modeling for more highly accelerated 3D imaging

Magnetic resonance in medicine, 2019-03, Vol.81 (3), p.1620-1633

2019

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Robust autocalibrated structured low‐rank EPI ghost correction

Magnetic resonance in medicine, 2021-06, Vol.85 (6), p.3403-3419

2021

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DVO + LCLMF: A web service recommendation mechanism with QoS privacy preservation

Concurrency and computation, 2022-08, Vol.34 (18), p.n/a

2022

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Sub‐sampled adaptive trust region method on Riemannian manifolds

Numerical linear algebra with applications, 2024-10, Vol.31 (5), p.n/a

2024

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Spectral Gap-Based Seismic Survey Design

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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Two solution strategies to improve the computational performance of sequentially linear analysis for quasi‐brittle structures

International journal for numerical methods in engineering, 2020-05, Vol.121 (10), p.2128-2146

2020

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TARM: A Turbo-Type Algorithm for Affine Rank Minimization

IEEE transactions on signal processing, 2019-11, Vol.67 (22), p.5730-5745

2019

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High‐dimensional fast convolutional framework (HICU) for calibrationless MRI

Magnetic resonance in medicine, 2021-09, Vol.86 (3), p.1212-1225

2021

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Supervised multivariate learning with simultaneous feature auto‐grouping and dimension reduction

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-07, Vol.84 (3), p.912-932

2022

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Structured matrix recovery from matrix‐vector products

Numerical linear algebra with applications, 2024-01, Vol.31 (1), p.n/a

2024

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Clustering for Topological Interference Management

Chinese Journal of Electronics, 2022-09, Vol.31 (5), p.844-850

2022

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Automated weak signal extraction of hyperspectral Raman imaging data by adaptive low‐rank matrix approximation

Journal of Raman spectroscopy, 2020-12, Vol.51 (12), p.2552-2561

2020

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Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data

Environmetrics (London, Ont.), 2022-06, Vol.33 (4), p.n/a

2022

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High‐dimensional differential networks with sparsity and reduced‐rank

Stat (International Statistical Institute), 2024-06, Vol.13 (2), p.n/a

2024

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An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation

Journal of scientific computing, 2021-08, Vol.88 (2), p.45, Article 45

2021

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Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data

An overview of the estimation of large covariance and precision matrices

Topological Interference Management With Inaccurate Topology of Network

Euclidean Representation of Low-Rank Matrices and Its Geometric Properties

LORAKS makes better SENSE: Phase‐constrained partial fourier SENSE reconstruction without phase calibration

Spatial Correlation Constrained Low-rank Modeling for SAR Image Change Detection

Hierarchical nuclear norm penalization for multi‐view data integration

Accelerating structural dynamics simulations with localised phenomena through matrix compression and projection‐based model order reduction

Similarity-Maintaining Privacy Preservation and Location-Aware Low-Rank Matrix Factorization for QoS Prediction Based Web Service Recommendation

Wave‐LORAKS: Combining wave encoding with structured low‐rank matrix modeling for more highly accelerated 3D imaging

Robust autocalibrated structured low‐rank EPI ghost correction

DVO + LCLMF: A web service recommendation mechanism with QoS privacy preservation

Sub‐sampled adaptive trust region method on Riemannian manifolds

Spectral Gap-Based Seismic Survey Design

Two solution strategies to improve the computational performance of sequentially linear analysis for quasi‐brittle structures

TARM: A Turbo-Type Algorithm for Affine Rank Minimization

High‐dimensional fast convolutional framework (HICU) for calibrationless MRI

Supervised multivariate learning with simultaneous feature auto‐grouping and dimension reduction

Structured matrix recovery from matrix‐vector products

Clustering for Topological Interference Management

Automated weak signal extraction of hyperspectral Raman imaging data by adaptive low‐rank matrix approximation

Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data

High‐dimensional differential networks with sparsity and reduced‐rank

An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation

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