Citation Impact
Citing Papers
Message-passing algorithms for compressed sensing
2009 Standout
Spatially resolved, highly multiplexed RNA profiling in single cells
2015 StandoutScience
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
2009 Standout
Counting faces of randomly projected polytopes when the projection radically lowers dimension
2008
Robust brain parcellation using sparse representation on resting-state fMRI
2014
Random Projections of Smooth Manifolds
2007
Convergence of the linearized Bregman iteration for ℓ₁-norm minimization
2009
Sparse Subspace Clustering: Algorithm, Theory, and Applications
2013 Standout
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
2016 Standout
Extreme Learning Machine for Regression and Multiclass Classification
2011 Standout
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
2012 Standout
A colloidal quantum dot spectrometer
2015 StandoutNatureNobel
Improving resolution of miniature spectrometers by exploiting sparse nature of signals
2012
Robust Face Recognition via Sparse Representation
2009 Standout
Sparse MRI: The application of compressed sensing for rapid MR imaging
2007 Standout
Robust Recovery of Subspace Structures by Low-Rank Representation
2012 Standout
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
Single-pixel imaging by means of Fourier spectrum acquisition
2015 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
2007 Standout
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing
2010
Subspace Pursuit for Compressive Sensing Signal Reconstruction
2009 Standout
Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays
2008
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
SPICE and LIKES: Two hyperparameter-free methods for sparse-parameter estimation
2011
Tensor Decomposition for Signal Processing and Machine Learning
2017 Standout
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Discussion: The Dantzig selector: Statistical estimation when p is much larger than n
2007
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
2015 Standout
Compressive light transport sensing
2009
Challenges of Big Data analysis
2014
A single-pixel terahertz imaging system based on compressed sensing
2008 Standout
Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
2008
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
2011
Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence
2008
Computational Methods for Sparse Solution of Linear Inverse Problems
2010
Reconfigurable Intelligent Surfaces: Principles and Opportunities
2021 Standout
Sparse Signal Detection from Incoherent Projections
2006
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
2009 Standout
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends
2017 Standout
Subsampling Algorithms for Semidefinite Programming
2011
Compressive ghost imaging
2009 Standout
Low-Dimensional Approach for Reconstruction of Airfoil Data via Compressive Sensing
2014
Fast compressed sensing analysis for super-resolution imaging using L1-homotopy
2013
On sparse reconstruction from Fourier and Gaussian measurements
2007
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
2011 Standout
Random Lens Imaging
2006
Spatially Sparse Precoding in Millimeter Wave MIMO Systems
2014 Standout
Sparse reconstruction by separable approximation
2008
Bayesian Compressive Sensing
2008 Standout
RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction
2016
Sparse conjugate directions pursuit with application to fixed-size kernel models
2011
Robust principal component analysis?
2011 Standout
Linearized Bregman iterations for compressed sensing
2009
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2019 Standout
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
Inpainting and Zooming Using Sparse Representations
2007
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
2010 Standout
Discussion: The Dantzig selector: Statistical estimation when p is much larger than n
2007
Regression Shrinkage and Selection via The Lasso: A Retrospective
2011 Standout
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
2007 Standout
Nearly unbiased variable selection under minimax concave penalty
2010 Standout
Probing the Pareto Frontier for Basis Pursuit Solutions
2008
Data space reduction, quality assessment and searching of seismograms: autoencoder networks for waveform data
2012
Recent advances in convolutional neural networks
2017 Standout
An Introduction To Compressive Sampling
2008 Standout
Sparse Reconstruction by Separable Approximation
2009
Random Sampling of Sparse Trigonometric Polynomials, II. Orthogonal Matching Pursuit versus Basis Pursuit
2007
Sure Independence Screening for Ultrahigh Dimensional Feature Space
2008 Standout
Compressed sensing quantum process tomography for superconducting quantum gates
2014 StandoutNobel
Fixed point and Bregman iterative methods for matrix rank minimization
2009 Standout
Video compressive sensing using spatial domain sparsity
2009
An Interior-Point Method for Large-Scale -Regularized Least Squares
2007
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Standout
Probabilistic Radio-Frequency Fingerprinting and Localization on the Run
2014
Single-pixel imaging via compressive sampling
2008 Standout
<title>A new compressive imaging camera architecture using optical-domain compression</title>
2006
Principles and prospects for single-pixel imaging
2018 Standout
A Singular Value Thresholding Algorithm for Matrix Completion
2010 Standout
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
2016 Standout
2005
The Power of Convex Relaxation: Near-Optimal Matrix Completion
2010 Standout
Iteratively reweighted least squares minimization for sparse recovery
2009
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
2017
Efficient Multi-User Detection for Uplink Grant-Free NOMA: Prior-Information Aided Adaptive Compressive Sensing Perspective
2017
Beyond the hype: Big data concepts, methods, and analytics
2014 Standout
Enhancing Sparsity by Reweighted ℓ 1 Minimization
2008 Standout
Compressed Sensing in Astronomy
2008
Works of Yaakov Tsaig being referenced
Breakdown of equivalence between the minimalℓ 1
2005
Fast Solution of $\ell _{1}$-Norm Minimization Problems When the Solution May Be Sparse
2008
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit
2012
Extensions of compressed sensing
2005