W. Yin

发表

ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates pdf

Ming Yan, Wotao Yin, Zhimin Peng, 2015, SIAM J. Sci. Comput..

Self Equivalence of the Alternating Direction Method of Multipliers

Ming Yan, W. Yin, 2014, 1407.7400.

Convergence Rate Analysis of Several Splitting Schemes

Damek Davis, W. Yin, 2014, 1406.4834.

A Three-Operator Splitting Scheme and its Optimization Applications

Damek Davis, W. Yin, 2015, 1504.01032.

USING GEOMETRY AND ITERATED REFINEMENT FOR INVERSE PROBLEMS (1): TOTAL VARIATION BASED IMAGE RESTORATION

S. Osher, M. Burger, W. Yin, 2004 .

A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation

Yin Zhang, Wotao Yin, Donald Goldfarb, 2010, SIAM J. Sci. Comput..

Augmented l1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. Revision 1

M. Lai, W. Yin, 2012 .

Sparse Recovery via Differential Inclusions

S. Osher, Y. Yao, W. Yin, 2014, 1406.7728.

Bregman Iterative Algorithms for (cid:2) 1 -Minimization with Applications to Compressed Sensing ∗

Wotao Yin, Jérôme Darbon, Stanley Osher, 2008 .

Total Variation Based Image Cartoon-Texture Decomposition

S. Osher, D. Goldfarb, W. Yin, 2005 .

On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers

Wotao Yin, Wei Deng, W. Yin, 2016, J. Sci. Comput..

Fixed-Point Continuation for l1-Minimization: Methodology and Convergence

Yin Zhang, Wotao Yin, Elaine T. Hale, 2008, SIAM J. Optim..

EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization

Qing Ling, Wei Shi, Gang Wu, 2014, 1404.6264.

Decentralized Jointly Sparse Optimization by Reweighted $\ell_{q}$ Minimization

Qing Ling, Wotao Yin, Zaiwen Wen, 2013, IEEE Transactions on Signal Processing.

User’s Guide for TVAL3: TV Minimization by Augmented Lagrangian and Alternating Direction Algorithms

Yin Zhang, W. Yin, Chengbo Li, 2010 .

TR 0707 A Fixed-Point Continuation Method for ` 1-Regularized Minimization with Applications to Compressed Sensing

Wotao Yin, Yin Zhang, Elaine T. Hale, 2007 .

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

Yin Zhang, Wotao Yin, Zaiwen Wen, 2012, Mathematical Programming Computation.

Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising pdf

Bin Dong, Wotao Yin, Stanley Osher, 2011, ArXiv.

An Improved Analysis of Stochastic Gradient Descent with Momentum

Wotao Yin, Yuan Gao, Yanli Liu, 2020, NeurIPS.

A Fixed-Point Continuation Method for L_1-Regularization with Application to Compressed Sensing

Wotao Yin, Yin Zhang, Elaine T. Hale, 2007 .

A New Alternating Minimization Algorithm for Total Variation Image Reconstruction

Junfeng Yang, Yin Zhang, Wotao Yin, 2008, SIAM J. Imaging Sci..

A Fast Algorithm for Image Deblurring with Total Variation Regularization

Yin Zhang, W. Yin, Yilun Wang, 2007 .

Alternating direction augmented Lagrangian methods for semidefinite programming

Wotao Yin, Donald Goldfarb, Zaiwen Wen, 2010, Math. Program. Comput..

Decentralized Consensus Optimization With Asynchrony and Delays

Ali H. Sayed, Qing Ling, Kun Yuan, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Decentralized low-rank matrix completion

Qing Ling, Wotao Yin, Yangyang Xu, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Algorithm for overcoming the curse of dimensionality for certain non-convex Hamilton–Jacobi equations, projections and differential games

S. Osher, W. Yin, J. Darbon, 2018 .

Parallel and distributed sparse optimization

Ming Yan, Wotao Yin, Zhimin Peng, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

On the convergence of an active-set method for ℓ1 minimization

Wotao Yin, Donald Goldfarb, Hongchao Zhang, 2012, Optim. Methods Softw..

Parallel Multi-Block ADMM with o(1 / k) Convergence

Wotao Yin, Zhimin Peng, Ming-Jun Lai, 2013, Journal of Scientific Computing.

A feasible method for optimization with orthogonality constraints

Wotao Yin, Zaiwen Wen, Z. Wen, 2013, Math. Program..

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed 퓁q Minimization

M. Lai, Yangyang Xu, W. Yin, 2013, SIAM J. Numer. Anal..

Augmented 퓁1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm

Wotao Yin, Ming-Jun Lai, M. Lai, 2012, SIAM J. Imaging Sci..

Proximal-Proximal-Gradient Method

Ernest K. Ryu, W. Yin, 2017, Journal of Computational Mathematics.

Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances

Wotao Yin, Yat Tin Chow, Wuchen Li, 2018, SIAM J. Sci. Comput..

An Iterative Regularization Method for Total Variation-Based Image Restoration

Wotao Yin, Stanley Osher, Martin Burger, 2005, Multiscale Model. Simul..

A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization

Wotao Yin, Daniel McKenzie, HanQin Cai, 2021, ICML.

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling

W. Yin, Zhenliang Zhang, HanQin Cai, 2020, ArXiv.

A One-bit, Comparison-Based Gradient Estimator

W. Yin, HanQin Cai, Daniel Mckenzie, 2020, 2010.02479.

Consistent Dynamic Mode Decomposition

Wotao Yin, Omri Azencot, Andrea Bertozzi, 2019, SIAM J. Appl. Dyn. Syst..

An efficient algorithm for compressed MR imaging using total variation and wavelets

Shiqian Ma, Yin Zhang, Wotao Yin, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise

Junfeng Yang, Yin Zhang, Wotao Yin, 2009, SIAM J. Sci. Comput..

Slope and $G$-set characterization of set-valued functions and applications to non-differentiable optimization problems

S. Osher, O. Scherzer, W. Yin, 2005 .

A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration

Junfeng Yang, Yin Zhang, Wotao Yin, 2009, SIAM J. Imaging Sci..

The Total Variation Regularized L1 Model for Multiscale Decomposition

Wotao Yin, Stanley Osher, Donald Goldfarb, 2007, Multiscale Model. Simul..

A dual algorithm for a class of augmented convex signal recovery models

Hui Zhang, W. Yin, Lizhi Cheng, 2015 .

Illumination normalization for face recognition and uneven background correction using total variation based image models

Dorin Comaniciu, Thomas S. Huang, Wotao Yin, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

FAST AND ROBUST ALGORITHMS FOR HARMONIC ENERGY MINIMIZATION ON GENUS-0 SURFACES

Z. Wen, W. Yin, L. Lui, 2011 .

Sparsity Recovery via Differential Equations

S. Osher, Y. Yao, W. Yin, 2014 .

On the geometric analysis of a quartic–quadratic optimization problem under a spherical constraint

Z. Wen, W. Yin, A. Milzarek, 2019, Mathematical Programming.

A One-bit, Comparison-Based Gradient Estimator

W. Yin, HanQin Cai, Daniel Mckenzie, 2020, 2010.02479.

Sparse Recovery via l1 and L1 Optimization

S. Osher, W. Yin, 2014 .

Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry

Ernest K. Ryu, W. Yin, Robert Hannah, 2019, Mathematical Programming.

A Sharp Convergence Rate Analysis for Distributed Accelerated Gradient Methods

Zhouchen Lin, W. Yin, Cong Fang, 2018, 1810.01053.

Decentralized Consensus Optimization with Asynchrony and Delay

A. Sayed, W. Yin, Qing Ling, 2016 .

Projecting to Manifolds via Unsupervised Learning

Samy Wu Fung, S. Osher, W. Yin, 2020, ArXiv.

ARock : an Algorithmic Framework for Async-Parallel Coordinate Updates

Ming Yan, Zhimin Peng, Yangyang Xu, 2015 .

A new use of Douglas–Rachford splitting for identifying infeasible, unbounded, and pathological conic programs

Wotao Yin, Yanli Liu, Ernest K. Ryu, 2019, Math. Program..

Douglas-Rachford Splitting for Pathological Convex Optimization

Wotao Yin, Ernest K. Ryu, Yanli Liu, 2018 .

Linearized Bregman for l 1-regularized Logistic Regression

S. Osher, W. Yin, Jianing Shi, 2013 .

A New Regularization Path for Logistic Regression via Linearized Bregman

Wotao Yin, Jianing Shi, Stanley Osher, 2012 .

Fast non-coplanar beam orientation optimization based on group sparsity

Ke Sheng, Wotao Yin, Daniel O'Connor, 2017, 1710.05308.

Compressive Hyperspectral Imaging and Anomaly Detection

S. Osher, W. Yin, K. Kelly, 2013 .

XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training

Xicheng Lu, W. Yin, Dongsheng Li, 2019, ArXiv.

Universal Safeguarded Learned Convex Optimization with Guaranteed Convergence

Wotao Yin, Zhangyang Wang, Howard Heaton, 2019 .

HYPERSPECTRAL DATA RECONSTRUCTION COMBINING SPATIAL AND SPECTRAL SPARSITY

W. Yin, S. Valiollahzadeh, 2010 .

GROUP SPARSE OPTIMIZATION BY ALTERNATING DIRECTION METHOD Report Title

Yin Zhang, W. Yin, 2012 .

Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems pdf

Wotao Yin, Tianyi Chen, Yuejiao Sun, 2021, ArXiv.

Compressive Sensing for Wireless Networks: Introduction

Zhu Han, Wotao Yin, Husheng Li, 2013 .

Wasserstein-Based Projections with Applications to Inverse Problems

Samy Wu Fung, S. Osher, W. Yin, 2022, SIAM J. Math. Data Sci..

Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression

W. Yin, K. Yuan, Xinmeng Huang, 2022, ArXiv.

Noisy Sparsity Recovery via Differential Equations

Yuan Yao, Wotao Yin, Feng Ruan, 2014 .

Scaled Relative Graph

Ernest K. Ryu, W. Yin, Robert Hannah, 2019 .

Expander graph and communication-efficient decentralized optimization

Wei Shi, Wotao Yin, Tianyu Wu, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization

W. Yin, Daniel Mckenzie, Qiuwei Li, 2021, Information and Inference: A Journal of the IMA.

AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity

W. Yin, Yibo Zeng, Fei Feng, 2018, AISTATS.

Signal Representation with Minimum L_Infinity Norm

Wotao Yin, Richard G. Baraniuk, C. Studer, 2012 .

Learning to Optimize: A Primer and A Benchmark pdf

Wotao Yin, Zhangyang Wang, Tianlong Chen, 2021, J. Mach. Learn. Res..

On Representing Linear Programs by Graph Neural Networks

Jialin Liu, W. Yin, Xinshang Wang, 2022, ArXiv.

Curvature-Aware Derivative-Free Optimization pdf

Wotao Yin, Daniel McKenzie, HanQin Cai, 2021, ArXiv.

A2BCD: Asynchronous Acceleration with Optimal Complexity

Wotao Yin, Robert Hannah, Fei Feng, 2018, ICLR.

Necessary and sufficient conditions of solution uniqueness in ℓ1 minimization pdf

Wotao Yin, Hui Zhang, Lizhi Cheng, 2012, ArXiv.

On the o(1/k) Convergence and Parallelization of the Alternating Direction Method of Multipliers

Wotao Yin, Ming-Jun Lai, Wei Deng, 2013 .

JFB: Jacobian-Free Backpropagation for Implicit Networks

Wotao Yin, Daniel McKenzie, Stanley Osher, 2021, AAAI.

Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression

W. Yin, K. Yuan, Xinmeng Huang, 2022, NeurIPS.

Compressed channel estimation

Zhu Han, Wotao Yin, Husheng Li, 2013 .

Compressive Sensing for Wireless Networks: Sparse optimization algorithms

Zhu Han, Wotao Yin, Husheng Li, 2013 .

Compressive Sensing for Wireless Networks: Positioning

Zhu Han, Wotao Yin, Husheng Li, 2013 .

Compressive Sensing for Wireless Networks: Cognitive radio networks

Zhu Han, Wotao Yin, Husheng Li, 2013 .

Compressive Sensing for Wireless Networks: Preface

Zhu Han, Wotao Yin, Husheng Li, 2013 .

On Representing Mixed-Integer Linear Programs by Graph Neural Networks

Jialin Liu, W. Yin, Xinshang Wang, 2022, ArXiv.

Compressive Sensing for Wireless Networks: Overview of wireless networks

Zhu Han, Wotao Yin, Husheng Li, 2013 .

The Total Variation Regularized L1 Model for Multiscale Decomposition

S. Osher, D. Goldfarb, W. Yin, 2007, Multiscale Model. Simul..

A feasible method for optimization with orthogonality constraints

Z. Wen, W. Yin, 2012, Mathematical Programming.

Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers

W. Yin, Yuejiao Sun, Yifan Chen, 2019, Mathematical Programming.

FAST COMMUNICATION HIERARCHICAL LOW-RANK STRUCTURE OF PARAMETERIZED DISTRIBUTIONS∗

W. Yin, Jun Qin, 2021 .

An efficient augmented Lagrangian method with applications to total variation minimization

Yin Zhang, W. Yin, Chengbo Li, 2013, Computational Optimization and Applications.

Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints

Ding-Xuan Zhou, W. Yin, Jinshan Zeng, 2022, Journal of Scientific Computing.

One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations

Ming Yan, W. Yin, Hui Zhang, 2016, Advances in Computational Mathematics.

A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update

Yangyang Xu, W. Yin, 2017, Journal of Scientific Computing.

An Envelope for Davis–Yin Splitting and Strict Saddle-Point Avoidance

W. Yin, Yanli Liu, 2019, Journal of Optimization Theory and Applications.

Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry

Ernest K. Ryu, W. Yin, Robert Hannah, 2021, Mathematical Programming.

Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop

Samy Wu Fung, S. Osher, W. Yin, 2021, ArXiv.

Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization

X. Gu, Z. Wen, W. Yin, 2013, Journal of Scientific Computing.

A new use of Douglas–Rachford splitting for identifying infeasible, unbounded, and pathological conic programs

Ernest K. Ryu, W. Yin, Yanli Liu, 2018, Mathematical Programming.

An alternating direction algorithm for matrix completion with nonnegative factors

Yin Zhang, Z. Wen, Yangyang Xu, 2012, Frontiers of Mathematics in China.

Attentional-Biased Stochastic Gradient Descent

Tianbao Yang, Yi Xu, W. Yin, 2020, 2012.06951.

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

Yin Zhang, Z. Wen, W. Yin, 2012, Math. Program. Comput..

Algorithm for Hamilton–Jacobi Equations in Density Space Via a Generalized Hopf Formula

S. Osher, W. Yin, Y. T. Chow, 2019, Journal of Scientific Computing.

Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees

Wotao Yin, Tingzhu Huang, W. Yin, 2017, Journal of Scientific Computing.

Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization

Hui Zhang, W. Yin, Lizhi Cheng, 2014, Journal of Optimization Theory and Applications.

Video compressive sensing for dynamic MRI

Aswin C. Sankaranarayanan, Richard Baraniuk, W. Yin, 2012, BMC Neuroscience.

A Parallel Method for Earth Mover’s Distance

Ernest K. Ryu, W. Gangbo, S. Osher, 2017, Journal of Scientific Computing.

Hyperparameter Tuning is All You Need for LISTA pdf

Wotao Yin, Zhangyang Wang, Jialin Liu, 2021, NeurIPS.

CADA: Communication-Adaptive Distributed Adam pdf

Wotao Yin, Tianyi Chen, Ziye Guo, 2020, AISTATS.

A Fast and Accurate Basis Pursuit Denoising Algorithm With Application to Super-Resolving Tomographic SAR

Xiao Xiang Zhu, Richard Bamler, Wotao Yin, 2018, IEEE Transactions on Geoscience and Remote Sensing.

A2BCD: An Asynchronous Accelerated Block Coordinate Descent Algorithm With Optimal Complexity

Wotao Yin, Robert Hannah, Fei Feng, 2018, 1803.05578.

An efficient algorithm for compressive sensing based SAR tomography

Xiao Xiang Zhu, Richard Bamler, Wotao Yin, 2018 .

Gradient methods for convex minimization: better rates under weaker conditions pdf

Hui Zhang, Wotao Yin, W. Yin, 2013, ArXiv.

Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging

William W. Hager, Yunmei Chen, Wotao Yin, 2012, SIAM J. Imaging Sci..

Learning to Optimize

G. Evans, Bruce McGough, W. Yin, 2008 .

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection pdf

Wotao Yin, Jialin Liu, HanQin Cai, 2021, NeurIPS.

Democratic Representations pdf

Wotao Yin, Richard G. Baraniuk, Tom Goldstein, 2014, ArXiv.

Group sparse optimization by alternating direction method

Wotao Yin, Wei Deng, Yin Zhang, 2013, Optics & Photonics - Optical Engineering + Applications.

Iteratively reweighted algorithms for compressive sensing

Wotao Yin, Rick Chartrand, R. Chartrand, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Breaking the Span Assumption Yields Fast Finite-Sum Minimization

Wotao Yin, Daniel O'Connor, Yanli Liu, 2018, NeurIPS.

Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations

Wotao Yin, Jérôme Darbon, Stanley Osher, 2017, J. Comput. Phys..

Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning

Ruosong Wang, Wotao Yin, Lin F. Yang, 2020, NeurIPS.

On the Convergence of Decentralized Gradient Descent

Qing Ling, Kun Yuan, Wotao Yin, 2013, SIAM J. Optim..

A Proximal Gradient Algorithm for Decentralized Composite Optimization

Qing Ling, Wei Shi, Gang Wu, 2015, IEEE Transactions on Signal Processing.

On the Linear Convergence of the ADMM in Decentralized Consensus Optimization

Qing Ling, Wei Shi, Gang Wu, 2013, IEEE Transactions on Signal Processing.

On Nonconvex Decentralized Gradient Descent

Wotao Yin, Jinshan Zeng, W. Yin, 2016, IEEE Transactions on Signal Processing.

Feasibility-based fixed point networks

Wotao Yin, Aviv Gibali, Samy Wu Fung, 2021, Fixed Point Theory and Algorithms for Sciences and Engineering.

Learning to Optimize: A Primer and A Benchmark

W. Yin, Zhangyang Wang, Jialin Liu, 2021, J. Mach. Learn. Res..

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers pdf

Xiaohan Chen, Wotao Yin, Jialin Liu, 2019, ICML.

A Parallel Method for Earth Mover’s Distance

Wotao Yin, Stanley Osher, Wuchen Li, 2018, J. Sci. Comput..

Online convolutional dictionary learning

Wotao Yin, Brendt Wohlberg, Jialin Liu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations

Ming Yan, Hui Zhang, Wotao Yin, 2013, Adv. Comput. Math..

Prediction of High Resolution Spatial-Temporal Air Pollutant Map from Big Data Sources

Zhu Han, Guangming Shi, Yang Liu, 2015, BigCom.

Efficient simultaneous image deconvolution and upsampling algorithm for low-resolution microwave sounder data

Wotao Yin, Jing Qin, Igor Yanovsky, 2015 .

A dual algorithm for a class of augmented convex models pdf

Hui Zhang, Wotao Yin, Lizhi Cheng, 2013, ArXiv.

An efficient augmented Lagrangian method with applications to total variation minimization

Yin Zhang, Chengbo Li, Wotao Yin, 2013, Computational Optimization and Applications.

A comparison of three total variation based texture extraction models

Wotao Yin, Stanley Osher, Donald Goldfarb, 2007, J. Vis. Commun. Image Represent..

Parallel matrix factorization for low-rank tensor completion pdf

Wotao Yin, Zhixun Su, Yangyang Xu, 2013, ArXiv.

Splitting Methods in Communication, Imaging, Science, and Engineering

Wotao Yin, Stanley Osher, Roland Glowinski, 2017 .

Global Convergence of ADMM in Nonconvex Nonsmooth Optimization

Wotao Yin, Yu Wang, Jinshan Zeng, 2015, Journal of Scientific Computing.

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed 퓁q Minimization

Wotao Yin, Ming-Jun Lai, Yangyang Xu, 2013, SIAM J. Numer. Anal..

A New Detail-Preserving Regularization Scheme

Wotao Yin, Jing Qin, Weihong Guo, 2014, SIAM J. Imaging Sci..

Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees

Yiqiu Dong, Wotao Yin, Ting-Zhu Huang, 2017, Journal of Scientific Computing.

A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion

Wotao Yin, Yangyang Xu, Yangyang Xu, 2013, SIAM J. Imaging Sci..

Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems

W. Yin, Tianyi Chen, Yuejiao Sun, 2021, NeurIPS.

JFB: Jacobian-Free Backpropagation for Implicit Networks

Samy Wu Fung, S. Osher, W. Yin, 2021, AAAI.

Learn to Predict Equilibria via Fixed Point Networks

Samy Wu Fung, S. Osher, W. Yin, 2021, ArXiv.

SAFEGUARDED LEARNED CONVEX OPTIMIZATION pdf

Wotao Yin, Zhangyang Wang, Howard Heaton, 2019 .

A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data

Junfeng Yang, Yin Zhang, Wotao Yin, 2010, IEEE Journal of Selected Topics in Signal Processing.

How Does an Approximate Model Help in Reinforcement Learning

Wotao Yin, Lin F. Yang, Fei Feng, 2019 .

Curvature-Aware Derivative-Free Optimization

W. Yin, HanQin Cai, Daniel Mckenzie, 2021, ArXiv.

Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds pdf

Xiaohan Chen, Wotao Yin, Zhangyang Wang, 2018, NeurIPS.

FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data

Wotao Yin, Xinwei Zhang, Sairaj Dhople, 2020, IEEE Transactions on Signal Processing.

Parametric Maximum Flow Algorithms for Fast Total Variation Minimization

Wotao Yin, Donald Goldfarb, D. Goldfarb, 2009, SIAM J. Sci. Comput..

A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression

Wotao Yin, Jianing Shi, Paul Sajda, 2010, J. Mach. Learn. Res..

A Novel Convergence Analysis for Algorithms of the Adam Family and Beyond

Tianbao Yang, Yi Xu, Rong Jin, 2021, 2104.14840.

On Stochastic Moving-Average Estimators for Non-Convex Optimization

Tianbao Yang, Yi Xu, Rong Jin, 2021, ArXiv.

Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization

W. Yin, Quan-Wu Xiao, Tianyi Chen, 2022, ArXiv.

Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints

Wotao Yin, Jinshan Zeng, Ding-Xuan Zhou, 2021, Journal of Scientific Computing.

Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs

Wotao Yin, Kaizhao Sun, Mou Sun, 2021, 2102.11980.

Error Forgetting of Bregman Iteration

Wotao Yin, Stanley Osher, S. Osher, 2013, J. Sci. Comput..

Error Forgetting of Bregman Iteration

Wotao Yin, S. Osher, W. Yin, 2012, Journal of Scientific Computing.

An alternating direction algorithm for matrix completion with nonnegative factors

Yin Zhang, Wotao Yin, Yangyang Xu, 2011, Frontiers of Mathematics in China.

Analysis and Generalizations of the Linearized Bregman Method

Wotao Yin, W. Yin, 2010, SIAM J. Imaging Sci..

Practical compressive sensing with Toeplitz and circulant matrices

Junfeng Yang, Yin Zhang, Wotao Yin, 2010, Visual Communications and Image Processing.

Large-Scale Convex Optimization

Ernest K. Ryu, W. Yin, 2022 .

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling pdf

Wotao Yin, Zhenliang Zhang, HanQin Cai, 2020, SIAM J. Optim..

Parallel Multi-Block ADMM with o(1 / k) Convergence

Wotao Yin, M. Lai, Zhimin Peng, 2016, Journal of Scientific Computing.

EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization

Wei Shi, W. Yin, Qing Ling, 2014, SIAM J. Optim..

Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate

Ming Yan, W. Yin, K. Yuan, 2022, NeurIPS.

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning pdf

Wotao Yin, Bicheng Ying, Kun Yuan, 2021, ArXiv.

Accelerating Gossip SGD with Periodic Global Averaging

Kun Yuan, Wotao Yin, Yinghui Xu, 2021, ICML.

Decentralized Learning With Lazy and Approximate Dual Gradients

Wotao Yin, Yuejiao Sun, Yanli Liu, 2020, IEEE Transactions on Signal Processing.

Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters

Wotao Yin, Cong Fang, Zhouchen Lin, 2018, IEEE Transactions on Signal Processing.

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization

Ali H. Sayed, Kun Yuan, Wotao Yin, 2018, IEEE Transactions on Signal Processing.

On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization

Qing Ling, Kun Yuan, Wotao Yin, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization

Wotao Yin, Yuantao Gu, Xianghui Mao, 2019, IEEE Internet of Things Journal.

Decentralized bundle method for nonsmooth consensus optimization

Qing Ling, Wotao Yin, Zifeng Wang, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

On Nonconvex Decentralized Gradient Descent Jinshan Zeng , and Wotao Yin

W. Yin, Jinshan Zeng, 2016 .

ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks pdf

Wotao Yin, Jinshan Zeng, W. Yin, 2015, ArXiv.

A proximal gradient algorithm for decentralized nondifferentiable optimization

Qing Ling, Wei Shi, Gang Wu, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A linearized bregman algorithm for decentralized basis pursuit

Qing Ling, Alejandro Ribeiro, Kun Yuan, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks

Zhu Han, Wotao Yin, Husheng Li, 2010, IEEE Journal on Selected Areas in Communications.

Exponential Graph is Provably Efficient for Decentralized Deep Training pdf

Kun Yuan, Wotao Yin, Bicheng Ying, 2021, NeurIPS.

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training pdf

Kun Yuan, Wotao Yin, Yinghui Xu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning pdf

Suhas N. Diggavi, Wotao Yin, Can Karakus, 2018, J. Mach. Learn. Res..

Straggler Mitigation in Distributed Optimization Through Data Encoding

Suhas N. Diggavi, Wotao Yin, Can Karakus, 2017, NIPS.

More Iterations per Second, Same Quality - Why Asynchronous Algorithms may Drastically Outperform Traditional Ones pdf

Wotao Yin, Robert Hannah, W. Yin, 2017, ArXiv.

A Single-Timescale Method for Stochastic Bilevel Optimization

W. Yin, Tianyi Chen, Quan-Wu Xiao, 2021, AISTATS.

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data pdf

Wotao Yin, Mingyi Hong, Yang Liu, 2020, ArXiv.

Acceleration of Primal–Dual Methods by Preconditioning and Simple Subproblem Procedures

Wotao Yin, Yanli Liu, Yunbei Xu, 2018, Journal of Scientific Computing.

LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

Georgios B. Giannakis, Wotao Yin, Tao Sun, 2018, NeurIPS.

Denoising Prior Driven Deep Neural Network for Image Restoration

Guangming Shi, Wotao Yin, Weisheng Dong, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sparse Signal Reconstruction via Iterative Support Detection

Wotao Yin, Yilun Wang, W. Yin, 2009, SIAM J. Imaging Sci..

Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization

Wotao Yin, Tianyi Chen, Yuejiao Sun, 2020, IEEE Transactions on Signal Processing.

A Single-Timescale Stochastic Bilevel Optimization Method

W. Yin, Tianyi Chen, Yuejiao Sun, 2021, ArXiv.

SCOBO: Sparsity-Aware Comparison Oracle Based Optimization pdf

Wotao Yin, Zhenliang Zhang, HanQin Cai, 2020, ArXiv.

On Markov Chain Gradient Descent

Wotao Yin, Tao Sun, Yuejiao Sun, 2018, NeurIPS.

VAFL: a Method of Vertical Asynchronous Federated Learning pdf

Xiao Jin, Wotao Yin, Tianyi Chen, 2020, ArXiv.

Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization

Lok Ming Lui, Wotao Yin, Xianfeng Gu, 2013, Journal of Scientific Computing.

Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements

Wotao Yin, Richard G. Baraniuk, Jason N. Laska, 2011, IEEE Transactions on Signal Processing.

A Curvilinear Search Method for p-Harmonic Flows on Spheres

Wotao Yin, Donald Goldfarb, Zaiwen Wen, 2009, SIAM J. Imaging Sci..

A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update

Wotao Yin, Yangyang Xu, Yangyang Xu, 2014, J. Sci. Comput..

Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions

Wotao Yin, Damek Davis, Damek Davis, 2014, Math. Oper. Res..

EdgeCS: edge guided compressive sensing reconstruction

Wotao Yin, Weihong Guo, W. Yin, 2010, Visual Communications and Image Processing.

On Representing Mixed-Integer Linear Programs by Graph Neural Networks

Jialin Liu, W. Yin, Xinshang Wang, 2022, ArXiv.

Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L1 Functional

Wotao Yin, Stanley Osher, Donald Goldfarb, 2005, VLSM.

ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA

Xiaohan Chen, Wotao Yin, Jialin Liu, 2018, ICLR.

Copula density estimation by total variation penalized likelihood with linear equality constraints

Wotao Yin, Leming Qu, W. Yin, 2012, Comput. Stat. Data Anal..

ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs pdf

Kun Yuan, Wotao Yin, Ernest K. Ryu, 2019, ArXiv.

An Envelope for Davis–Yin Splitting and Strict Saddle-Point Avoidance

Wotao Yin, Yanli Liu, W. Yin, 2018, J. Optim. Theory Appl..

Learning Circulant Sensing Kernels

Wotao Yin, Stanley Osher, Yangyang Xu, 2014 .

A Mean Field Game Inverse Problem pdf

Wotao Yin, Wuchen Li, Stanley Osher, 2020, Journal of Scientific Computing.

Second-order Cone Programming Methods for Total Variation-Based Image Restoration

Wotao Yin, Donald Goldfarb, D. Goldfarb, 2005, SIAM J. Sci. Comput..

FIXED-POINT CONTINUATION APPLIED TO COMPRESSED SENSING: IMPLEMENTATION AND NUMERICAL EXPERIMENTS *

Wotao Yin, Yin Zhang, Elaine Hale, 2010 .

Extracting Salient Features From Less Data via ! 1 -Minimization

Wotao Yin, Yin Zhang, Yin Zhang, 2008 .

MR image reconstruction using deep learning: evaluation of network structure and loss functions.

Vahid Ghodrati, Mark Bydder, Peng Hu, 2019, Quantitative imaging in medicine and surgery.

Nonconvex Sparse Regularization and Splitting Algorithms

Wotao Yin, Rick Chartrand, R. Chartrand, 2016 .

Scaled Relative Graph of Normal Matrices pdf

Wotao Yin, Ernest K. Ryu, Xinmeng Huang, 2019, ArXiv.

Tight coefficients of averaged operators via scaled relative graph

Ernest K. Ryu, W. Yin, Xinmeng Huang, 2019, Journal of Mathematical Analysis and Applications.

AutoBandit: A Meta Bandit Online Learning System

Wotao Yin, Huan Xu, Miao Xie, 2021, IJCAI.

Total variation models for variable lighting face recognition

Dorin Comaniciu, Thomas S. Huang, Wotao Yin, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Extracting respiratory signals from thoracic cone beam CT projections

Hao Yan, Steve B. Jiang, Xun Jia, 2012, Physics in medicine and biology.

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

Yuan-Hai Shao, Chun-Na Li, Wotao Yin, 2020, IEEE Transactions on Neural Networks and Learning Systems.

An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods

Wotao Yin, Tamer Basar, Kaiqing Zhang, 2022, NeurIPS.

LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning pdf

Wotao Yin, Tianyi Chen, Yuejiao Sun, 2020, ArXiv.

Attentional Biased Stochastic Gradient for Imbalanced Classification pdf

Qi Qi, Yi Xu, Tianbao Yang, 2020, ArXiv.

A Multiscale Semi-Smooth Newton Method for Optimal Transport

Z. Wen, W. Yin, Yiyang Liu, 2022, Journal of Scientific Computing.

Alternating Projected SGD for Equality-constrained Bilevel Optimization

W. Yin, Quan-Wu Xiao, Tianyi Chen, 2023, AISTATS.

Douglas–Rachford splitting and ADMM for pathological convex optimization

Wotao Yin, Yanli Liu, Ernest K. Ryu, 2018, Computational Optimization and Applications.

NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings

Chinmay Hegde, Aswin C. Sankaranarayanan, Wotao Yin, 2015, IEEE Transactions on Signal Processing.

Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization

Hui Zhang, Wotao Yin, Lizhi Cheng, 2012, Journal of Optimization Theory and Applications.

Asynchronous Coordinate Descent under More Realistic Assumptions

Wotao Yin, Tao Sun, Robert Hannah, 2017, NIPS.

On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms

Wotao Yin, Robert Hannah, W. Yin, 2016, J. Sci. Comput..

Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders

Kun Yuan, Wotao Yin, Xianghui Mao, 2021, 2104.12112.

On the Comparison between Cyclic Sampling and Random Reshuffling pdf

Kun Yuan, Wotao Yin, Xianghui Mao, 2021, ArXiv.

Attentional-Biased Stochastic Gradient Descent

Tianbao Yang, Yi Xu, W. Yin, 2020, 2012.06951.

Edge Guided Reconstruction for Compressive Imaging

Wotao Yin, Weihong Guo, W. Yin, 2012, SIAM J. Imaging Sci..

Algorithm for Overcoming the Curse of Dimensionality For Time-Dependent Non-convex Hamilton–Jacobi Equations Arising From Optimal Control and Differential Games Problems

Wotao Yin, Jérôme Darbon, Stanley Osher, 2017, Journal of Scientific Computing.

A Novel Convergence Analysis for Algorithms of the Adam Family pdf

Rong Jin, Tianbao Yang, Wotao Yin, 2021, ArXiv.

An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning

Wotao Yin, Tianyi Chen, Yuejiao Sun, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Provably Correct Optimization and Exploration with Non-linear Policies

Wotao Yin, Alekh Agarwal, Fei Feng, 2021, ICML.

Provably Efficient Exploration for RL with Unsupervised Learning pdf

Ruosong Wang, Wotao Yin, Lin F. Yang, 2020, ArXiv.

A Primer on Coordinate Descent Algorithms

Wotao Yin, Yangyang Xu, Shenyinying Tu, 2016, 1610.00040.

Communication-Adaptive Stochastic Gradient Methods for Distributed Learning

Wotao Yin, Tianyi Chen, Yuejiao Sun, 2021, IEEE Transactions on Signal Processing.

Block Stochastic Gradient Iteration for Convex and Nonconvex Optimization pdf

Wotao Yin, Yangyang Xu, Yangyang Xu, 2014, SIAM J. Optim..

A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability

W. Yin, Ming Jin, Bilgehan Sel, 2023, 2308.10380.

Compressed Sensing via Iterative Support Detection pdf

Wotao Yin, Yilun Wang, W. Yin, 2009, ArXiv.

Safeguarded Learned Convex Optimization

W. Yin, Zhangyang Wang, Xiaohan Chen, 2020, AAAI.

Compressive Sensing for Wireless Networks by Zhu Han

W. Yin, Zhu Han, Husheng Li, 2013 .

Learning A Minimax Optimizer: A Pilot Study

Wotao Yin, Zhangyang Wang, Jiayi Shen, 2021, ICLR.

A fast patch-dictionary method for whole image recovery pdf

Wotao Yin, Yangyang Xu, Yangyang Xu, 2014, ArXiv.

Markov chain block coordinate descent

Yangyang Xu, W. Yin, Tao Sun, 2019, Computational optimization and applications.

Compressive Sensing Based High-Resolution Channel Estimation for OFDM System

Zhu Han, Wotao Yin, Nam Tuan Nguyen, 2012, IEEE Journal of Selected Topics in Signal Processing.

Does Knowledge Transfer Always Help to Learn a Better Policy? pdf

Wotao Yin, Lin F. Yang, Fei Feng, 2019, ArXiv.

Markov chain block coordinate descent

Wotao Yin, Tao Sun, Yangyang Xu, 2018, Comput. Optim. Appl..

Algorithm for Hamilton–Jacobi Equations in Density Space Via a Generalized Hopf Formula

Wotao Yin, Stanley Osher, Yat Tin Chow, 2018, J. Sci. Comput..

Hybrid Federated Learning: Algorithms and Implementation

W. Yin, Mingyi Hong, Tianyi Chen, 2020, ArXiv.

On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays pdf

Ming Yan, Wotao Yin, Zhimin Peng, 2016, ArXiv.

Cyclic Coordinate-Update Algorithms for Fixed-Point Problems: Analysis and Applications

Wotao Yin, Tianyu Wu, Yat Tin Chow, 2016, SIAM J. Sci. Comput..

Coordinate Friendly Structures, Algorithms and Applications pdf

Ming Yan, Wotao Yin, Tianyu Wu, 2016, ArXiv.

Decentralized consensus optimization with asynchrony and delays

W. Yin, Qing Ling, K. Yuan, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition

Han Zhang, Wotao Yin, Ruqiang Yan, 2018, IEEE Transactions on Industrial Informatics.

Parallel imaging and convolutional neural network combined fast MR image reconstruction: Applications in low-latency accelerated real-time imaging.

Vahid Ghodrati, Yu Gao, Peng Hu, 2019, Medical physics.

Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers

Qing Ling, Wei Shi, Gang Wu, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A multi-block alternating direction method with parallel splitting for decentralized consensus optimization

Qing Ling, Wotao Yin, Xiaoming Yuan, 2012, EURASIP J. Wirel. Commun. Netw..

Algorithm for Overcoming the Curse of Dimensionality For Time-Dependent Non-convex Hamilton–Jacobi Equations Arising From Optimal Control and Differential Games Problems

Wotao Yin, S. Osher, W. Yin, 2017, Journal of Scientific Computing.

A distribute parallel approach for big data scale optimal power flow with security constraints

Zhu Han, Wotao Yin, Lanchao Liu, 2013, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm).

Oil spill sensor using multispectral infrared imaging via ℓ1 minimization

Zhu Han, Wotao Yin, Yingying Li, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning

W. Yin, Mengyuan Zhang, Huaijun Jiang, 2023, ArXiv.

A Three-Operator Splitting Scheme and its Optimization Applications

Damek Davis, W. Yin, 2017, Set-Valued and Variational Analysis.

Accelerated high-resolution EEG source imaging

Ying Li, Wotao Yin, Jing Qin, 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).

Online convolutional dictionary learning

B. Wohlberg, W. Yin, Jialin Liu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization

W. Yin, K. Yuan, A. H. Sayed, 2018, ArXiv.

Towards Constituting Mathematical Structures for Learning to Optimize

W. Yin, Zhangyang Wang, Jialin Liu, 2023, ICML.

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection

W. Yin, Jialin Liu, HanQin Cai, 2021, NeurIPS.

Sparse Recovery via (cid:96) 1 and L 1 Optimization

S. Osher, W. Yin, 2014 .

A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update

Yangyang Xu, W. Yin, 2014, Journal of Scientific Computing.

A feasible method for optimization with orthogonality constraints

W. Yin, Zaiwen Wen, 2012, Mathematical Programming.

Sparse kernel learning-based feature selection for anomaly detection

Wotao Yin, Heesung Kwon, Prudhvi Gurram, 2015, IEEE Transactions on Aerospace and Electronic Systems.

High Resolution OFDM Channel Estimation with Low Speed ADC Using Compressive Sensing

Zhu Han, Wotao Yin, Nam Tuan Nguyen, 2011, 2011 IEEE International Conference on Communications (ICC).

On the Convergence of Asynchronous Parallel Iteration with Unbounded Delays

Ming Yan, Wotao Yin, Zhimin Peng, 2016, Journal of the Operations Research Society of China.

ScholarWorks ScholarWorks

Wotao Yin, W. Yin, Leming Qu, 2022 .

On Stochastic Moving-Average Estimators for Non-Convex Optimization

Tianbao Yang, Yi Xu, Rong Jin, 2021, ArXiv.

From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization

W. Yin, Daniel Mckenzie, Qiuwei Li, 2021, Information and Inference: A Journal of the IMA.

On Markov Chain Gradient Descent

W. Yin, Tao Sun, Yuejiao Sun, 2018, NeurIPS.

An Improved Analysis of Stochastic Gradient Descent with Momentum

Wotao Yin, Yuan Gao, Yanli Liu, 2020, NeurIPS.

Learning Circulant Sensing Kernels

S. Osher, Yangyang Xu, W. Yin, 2014 .

On Representing Linear Programs by Graph Neural Networks

Jialin Liu, W. Yin, Xinshang Wang, 2022, ICLR.

Real-Time Sequential Security-Constrained Optimal Power Flow: A Hybrid Knowledge-Data-Driven Reinforcement Learning Approach

W. Yin, Chunming Yang, Zhongkai Yi, 2024, IEEE Transactions on Power Systems.

A Distributed ADMM Approach With Decomposition-Coordination for Mobile Data Offloading

Zhu Han, Guangming Shi, Wotao Yin, 2018, IEEE Transactions on Vehicular Technology.

Dynamic compressive spectrum sensing for cognitive radio networks

Zhu Han, Wotao Yin, Jia Meng, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks

Zhu Han, Wotao Yin, Husheng Li, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.