Approximation theory of wavelet frame based image restoration

Computationally efficient and statistically optimal robust high-dimensional linear regression

A lightweight high-resolution algorithm based on deep learning for layer-wise defect detection in laser powder bed fusion

A PRECONDITIONED RIEMANNIAN GRADIENT DESCENT ALGORITHM FOR LOW-RANK MATRIX RECOVERY

Interlacing Polynomial Method for the Column Subset Selection Problem

Quantum State Tomography via Nonconvex Riemannian Gradient Descent

Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion

Solving Systems of Phaseless Equations via Riemannian Optimization With Optimal Sampling Complexity

A Fast and Provable Algorithm for Sparse Phase Retrieval

A Preconditioned Fast Iterative Hard Thresholding Algorithm for Spectrally Sparse Signal Reconstruction

On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity

RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model

Nearly optimal bounds for the global geometric landscape of phase retrieval

Provable sample-efficient sparse phase retrieval initialized by truncated power method

Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach

Structured Gradient Descent for Fast Robust Low-rank Hankel Matrix Completion

Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity

Spectral Super-Resolution on the Unit Circle Via Gradient Descent

Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization

Gradient Descent for Symmetric Tensor Decomposition

Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond

Improved Harmonic Incompatibility Removal for Susceptibility Mapping via Reduction of Basis Mismatch

Minimum-monitor-unit optimization via a stochastic coordinate descent method

Provable Tensor-Train Format Tensor Completion by Riemannian Optimization

Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization

Solving phase retrieval with random initial guess is nearly as good as by spectral initialization

Sparse Signal Recovery From Phaseless Measurements Via Hard Thresholding Pursuit

The Global Landscape of Phase Retrieval II: Quotient Intensity Models

Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery

An Automatic Denoising Method For NMR Spectroscopy Based On Low-Rank Hankel Model

Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections

Fast Cadzow's Algorithm and a Gradient Variant

Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval

The Global Landscape of Phase Retrieval I: Perturbed Amplitude Models

A stochastic alternating minimization method for sparse phase retrieval

Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization

Guarantees of riemannian optimization for low rank matrix completion

Multi-Direction Dictionary Learning Based Depth Map Super-Resolution With Autoregressive Modeling

Robust Inexact Alternating Optimization for Matrix Completion with Outliers

Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations

Image Inpainting Based on Multi-frequency Probabilistic Inference Model

Accelerated Alternating Projections for Robust Principal Component Analysis

Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion

Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval

Data-driven method for 3D axis-symmetric object reconstruction from single cone-beam projection data

Data-driven tight frame for Cryo-EM image denoising and conformational classification

Fast Single Image Reflection Suppression via Convex Optimization

Data recovery on a manifold from linear samples: theory and computation

Spectral Compressed Sensing via Projected Gradient Descent

Vandermonde factorization of hankel matrix for complex exponential signal recovery-application in fast NMR spectroscopy

Exploiting the Structure Effectively and Efficiently in Low-Rank Matrix Recovery

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach

Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals

Subspace clustering by (k,k)-sparse matrix factorization

Accelerated Magnetic Resonance Spectroscopy with Vandermonde Factorization

Large Scale 2D Spectral Compressed Sensing in Continuous Domain

A Framelet-Based Iterative Maximum-Likelihood Reconstruction Algorithm for Spectral CT

A Spectral Interior CT By A Framelet-Based Reconstruction Algorithm

Fast Multiclass Dictionaries Learning with Geometrical Directions in MRI Reconstruction

Guarantees of Riemannian Optimization for Low Rank Matrix Recovery

Image restoration: A wavelet frame based model for piecewise smooth functions and beyond

Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Fast Alternating Projected Gradient Descent Algorithms for Recovering Spectrally Sparse Signals

Precise Phase Transition of Total Variation Minimization

Robust Recovery of Complex Exponential Signals from Random Gaussian Projections via Low Rank Hankel Matrix Reconstruction

Accelerated NMR Spectroscopy with Low-Rank Reconstruction

Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging

Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals

Data-Driven Tight Frame for Multi-Channel Images and Its Application to Joint Color-Depth Image Reconstruction

A fast algorithm for reconstruction of spectrally sparse signals in super-resolution

Cine cone beam CT reconstruction using low-rank matrix factorization: algorithm and a proof-of-princple study

Data-driven tight frame construction and image denoising

Incoherent dictionary learning for sparse representation based image denoising

Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies

Adaptive tight frame based medical image reconstruction: proof-of-concept study in computed tomography

Fast Singular Value Thresholding without Singular Value Decomposition

Low-rank regularization for learning gene expression programs

Sparse Error Correction from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks

Fast Sparsity-based Orthogonal Dictionary Learning and Image Restoration

Guarantees of Total Variation Minimization for Signal Recovery

Framelet Based Blind Motion Deblurring from a Single Image

Image Restoration: Total Variation; Wavelet Frames; and Beyond

Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis

Approximation of frame based missing data recovery

Multigrid algorithm from cyclic reduction for Markovian queueing networks

Robust Principle Component Analysis Based Four-Dimensional Computed Tomography

TU‐C‐214‐03: Markerless Tumor Tracking via Clustering on Low‐Rank Fluoroscopic Images for Image‐Guided Lung Cancer Radiotherapy

Fast Two-Phase Image Deblurring under Impulse Noise

Framelet based deconvolution

Inpainting for Compressed Images

Simultaneous Cartoon and Texture Inpainting

Tight Frame Based Method for High-Resolution Image Reconstruction

Blind motion deblurring using multiple images

Convergence Analysis of Tight Framelet Approach for Missing Data Recovery

Convergence of the linearized Bregman iteration for ℓ1-norm minimization

Linearized Bregman Iterations for Compressed Sensing

Linearized Bregman Iterations for Frame-Based Image Deblurring

Simultaneously Inpainting in Image and Transformed Domains

Split Bregman Methods and Frame Based Image Restoration

Blind motion deblurring from a single image using sparse approximation

High-quality curvelet-based motion deblurring from an image pair

A framelet-based image inpainting algorithm

Two-phase Approach for Deblurring Images Corrupted by Impulse Plus Gaussian Noise

Image denoising and deblurring under impulse noise, and framelet-based methods for image reconstruction

Minimization of a Detail-preserving Regularization Functional for Impulse Noise Removal

Minimization of an Edge-Preserving Regularization Functional by Conjugate Gradient Type Methods

Restoration of Chopped and Nodded Images by Framelets

Interval Iterative Methods for Computing Moore-Penrose Inverse

Modified Newton's Algorithm for Computing the Group Inverses of Singular Toeplitz Matrices

Computing Moore-Penrose Inverses of Toeplitz Matrices by Newton's Iteration

Displacement Structure of Weighted Pseudoinverses

Accelerated Alternating Projections for Robust Principal Component Analysis

Article

Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion

Article

Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval

Article

Data-driven method for 3D axis-symmetric object reconstruction from single cone-beam projection data

Conference paper

Data-driven tight frame for Cryo-EM image denoising and conformational classification

Conference paper

Fast Single Image Reflection Suppression via Convex Optimization

Conference paper

Data recovery on a manifold from linear samples: theory and computation

Article

Spectral Compressed Sensing via Projected Gradient Descent

Article

Vandermonde factorization of hankel matrix for complex exponential signal recovery-application in fast NMR spectroscopy

Article

Exploiting the Structure Effectively and Efficiently in Low-Rank Matrix Recovery

Book chapter

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach

Conference paper

Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals

Article

Subspace clustering by (k,k)-sparse matrix factorization

Article

Accelerated Magnetic Resonance Spectroscopy with Vandermonde Factorization

Conference paper

Large Scale 2D Spectral Compressed Sensing in Continuous Domain

Conference paper

A Framelet-Based Iterative Maximum-Likelihood Reconstruction Algorithm for Spectral CT

Article

A Spectral Interior CT By A Framelet-Based Reconstruction Algorithm

Article

Fast Multiclass Dictionaries Learning with Geometrical Directions in MRI Reconstruction

Article

Guarantees of Riemannian Optimization for Low Rank Matrix Recovery

Article

Image restoration: A wavelet frame based model for piecewise smooth functions and beyond

Article

Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Article

Fast Alternating Projected Gradient Descent Algorithms for Recovering Spectrally Sparse Signals

Conference paper

Precise Phase Transition of Total Variation Minimization

Conference paper

Robust Recovery of Complex Exponential Signals from Random Gaussian Projections via Low Rank Hankel Matrix Reconstruction

Conference paper

Accelerated NMR Spectroscopy with Low-Rank Reconstruction

Article

Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging

Article

Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals

Article

Data-Driven Tight Frame for Multi-Channel Images and Its Application to Joint Color-Depth Image Reconstruction

Article

A fast algorithm for reconstruction of spectrally sparse signals in super-resolution

Conference paper

Cine cone beam CT reconstruction using low-rank matrix factorization: algorithm and a proof-of-princple study

Article

Data-driven tight frame construction and image denoising

Article

Incoherent dictionary learning for sparse representation based image denoising

Conference paper

Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies

Conference paper

Adaptive tight frame based medical image reconstruction: proof-of-concept study in computed tomography

Article

Fast Singular Value Thresholding without Singular Value Decomposition

Article

Low-rank regularization for learning gene expression programs

Article

Sparse Error Correction from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks

Article

Fast Sparsity-based Orthogonal Dictionary Learning and Image Restoration

Conference paper

Guarantees of Total Variation Minimization for Signal Recovery

Conference paper

Framelet Based Blind Motion Deblurring from a Single Image

Article

Image Restoration: Total Variation; Wavelet Frames; and Beyond

Article

Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis

Article

Approximation of frame based missing data recovery

Article

Multigrid algorithm from cyclic reduction for Markovian queueing networks

Article

Robust Principle Component Analysis Based Four-Dimensional Computed Tomography

Article

TU‐C‐214‐03: Markerless Tumor Tracking via Clustering on Low‐Rank Fluoroscopic Images for Image‐Guided Lung Cancer Radiotherapy

Article

Fast Two-Phase Image Deblurring under Impulse Noise

Article

Framelet based deconvolution

Article

Inpainting for Compressed Images

Article

Simultaneous Cartoon and Texture Inpainting

Article

Tight Frame Based Method for High-Resolution Image Reconstruction

Article

Blind motion deblurring using multiple images

Article

Convergence Analysis of Tight Framelet Approach for Missing Data Recovery

Article

Convergence of the linearized Bregman iteration for ℓ1-norm minimization

Article

Linearized Bregman Iterations for Compressed Sensing

Article

Linearized Bregman Iterations for Frame-Based Image Deblurring

Article

Simultaneously Inpainting in Image and Transformed Domains

Article

Split Bregman Methods and Frame Based Image Restoration

Article

Blind motion deblurring from a single image using sparse approximation

Conference paper

High-quality curvelet-based motion deblurring from an image pair

Conference paper

A framelet-based image inpainting algorithm

Article

Two-phase Approach for Deblurring Images Corrupted by Impulse Plus Gaussian Noise

Article

Image denoising and deblurring under impulse noise, and framelet-based methods for image reconstruction

Article

Minimization of a Detail-preserving Regularization Functional for Impulse Noise Removal

Article

Minimization of an Edge-Preserving Regularization Functional by Conjugate Gradient Type Methods

Article

Restoration of Chopped and Nodded Images by Framelets

Article

Interval Iterative Methods for Computing Moore-Penrose Inverse

Article

Modified Newton's Algorithm for Computing the Group Inverses of Singular Toeplitz Matrices

Article

Computing Moore-Penrose Inverses of Toeplitz Matrices by Newton's Iteration

Article

Displacement Structure of Weighted Pseudoinverses

Article