Wotao's papers

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2013

Parallel and distributed sparse optimization: Z. Peng, M. Yan, and W. Yin
Gradient methods for convex minimization: better rates under weaker conditions: H. Zhang and W. Yin
A linearized Bregman algorithm for decentralized basis pursuit: K. Yuan, Q. Ling, W. Yin, and A. Ribeiro
Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers: W. Shi, Q. Ling, K. Yuan, G. Wu, and W. Yin
A new detail-preserving regularity scheme: W. Guo, J. Qin, and W. Yin

2012

A convex approach for learning near-isometric linear embeddings: C. Hegde, A.C. Sankaranarayanan, W. Yin, and R.G. Baraniuk
Signal representation with minimum l_infinity norm: C. Studer, W. Yin, and R.G. Baraniuk
Improved iteratively reweighted least squares for unconstrained smoothed lq minimization: M.-J. Lai, Y. Xu, and W. Yin
Necessary and sufficient conditions of solution uniqueness in l1 minimization: H. Zhang, W. Yin, and L. Cheng
A block coordinate descent method for multi-convex optimization with applications to nonnegative tensor factorization and completion: Y. Xu and W. Yin
On the global and linear convergence of the generalized alternating direction method of multipliers: W. Deng and W. Yin
Augmented l1 and nuclear-norm models with a globally linearly convergent algorithm: M.-J. Lai and W. Yin
Decentralized jointly sparse optimization by reweighted lq minimization: Q. Ling, Z. Wen and W. Yin
Error forgetting of Bregman iteration: W. Yin and S. Osher
Learning circulant sensing kernels: Y. Xu, W. Yin, and S. Osher

2011

A feasible method for optimization with orthogonality constraints: Z. Wen and W. Yin
Decentralized low-rank matrix completion: Q. Ling, Y. Xu, W. Yin, and Z. Wen
Edge guided reconstruction for compressive imaging: W. Guo and W. Yin
An efficient augmented Lagrangian method with applications to total variation minimization: C. Li, W. Yin, H. Jiang, and Y. Zhang
Group sparse optimization by alternating direction method: W. Deng, W. Yin, and Y. Zhang
Trust, but verify: fast and accurate signal recovery from 1-bit compressive measurements: J. Laska, Z. Wen, W. Yin, and R. Baraniuk
Collaborative spectrum sensing from sparse observations for cognitive radio networks: J. Meng, W. Yin, H. Li, E. Houssain, and Z. Han
High resolution OFDM channel estimation with low speed adc using compressive sensing: J. Meng, Y. Li, N. Nguyen, W. Yin, and Z. Han
Fast and robust algorithms for harmonic energy minimization on genus-0 surfaces: R. Lai, Z. Wen, W. Yin, X. Gu, and L. M. Lui
Dynamic compressive spectrum sensing for cognitive radio networks: W. Yin, Z. Wen, S. Li, J. Meng, and Z. Han

2010

LMaFit: Solving a low-rank factorization model for matrix completion by a non-linear successive over-relaxation algorithm: Z. Wen, W. Yin, and Y. Zhang
An alternating direction algorithm for matrix completion with nonnegative factors: Y. Xu, W. Yin, Z. Wen, and Y. Zhang
Fast algorithms for image reconstruction with application to partially parallel MR imaging: Y. Chen, W. W. Hager, F. Huang, D. T. Phan, X. Ye, and W. Yin
Compressive sensing based high resolution channel estimation for OFDM system: J. Meng, Y. Li, N. Nguyen, W. Yin, and Z. Han
On the convergence of an active set method for l1-minimization: Z. Wen, W. Yin, H. Zhang, and D. Goldfarb
Oil spill sensor using multispectral infrared imaging via l1 minimization: Y. Li, W.-C. Shih, Z. Han, and W. Yin
Copula density estimation by total variation penalized likelihood with linear equality: L. Qu and W. Yin

2009

Collaborative spectrum sensing from sparse observations for cognitive radio networks: J. Meng, W. Yin, H. Li, E. Houssain, and Z. Han
Practical compressive sensing with Toeplitz and circulant matrices: W. Yin, S. Morgan, J. Yang, and Y. Zhang
Analysis and generalizations of the linearized Bregman method: W. Yin
A Fast Alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data: J. Yang, Y. Zhang, and W. Yin
Alternating direction augmented Lagrangian methods for semidefinite programming: Z. Wen, D. Goldfarb, and W. Yin
Sparse signal reconstruction via iterative support detection: Y. Wang and W. Yin
Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks: J. Meng, W. Yin, H. Li, E. Houssain, and Z. Han
A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: self-feeding sparse SENSE: F. Huang, Y. Chen, W. Yin, W. Lin, X. Ye, W. Guo, and A. Reykowski
EdgeCS: an edge guided compressive sensing reconstruction: W. Guo and W. Yin

2008

Fast linearized Bregman iteration for compressive sensing and sparse denoising: S. Osher, Y. Mao, B. Dong, and W. Yin
Image-based face illumination transferring using the logarithmic total variation model: Q. Li, W. Yin, and Z. Deng
Fixed-point continuation applied to compressed sensing: implementation and numerical experiments: E.T. Hale, W. Yin, and Y. Zhang
FTVd: An efficient TVL1 algorithm for deblurring multichannel images corrupted by impulsive noise: J. Yang, Y. Zhang, and W. Yin
A fast algorithm for edge-preserving variational multichannel image restoration: J. Yang, W. Yin, Y. Zhang, and Y. Wang
FPC_AS: A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation: Z. Wen, W. Yin, D. Goldfarb, and Y. Zhang
A Matlab implementation of a flat norm motivated polygonal edge matching method: S.P. Morgan, W. Yin, and K.R. Vixie
Extracting salient features from less data via l1-minimization: W. Yin and Y. Zhang
Iteratively reweighted algorithms for compressive sensing [demo]: R. Chartrand and W. Yin

2007

Parametric maximum flow algorithms for fast total variation minimization: D. Goldfarb and W. Yin
Bregman iterative algorithms for l1-minimization with applications to compressed sensing: W. Yin, S. Osher, D. Goldfarb, and J. Darbon
A new alternating minimization algorithm for total variation image reconstruction: Y. Wang, J. Yang, W. Yin, and Y. Zhang
A fast hybrid algorithm for large scale L1-regularized logistic regression: J. Shi, W. Yin, S. Osher, and P. Sajda
An efficient algorithm for compressed MR imaging using total variation and wavelets: S. Ma, W. Yin, Y. Zhang, A. Chakraborty
FPC: Fixed-point continuation for l1-minimization: methodology and convergence: E.T. Hale, W. Yin, and Y. Zhang
A curvilinear search method for p-harmonic flows on spheres [code]: D. Goldfarb, Z. Wen, and W. Yin

2006 and before

A comparison of three total variation based texture extraction models: W. Yin, D. Goldfarb, and S. Osher
The total variation regularized L1 model for multiscale decomposition: W. Yin, D. Goldfarb, and S. Osher
Total variation models for variable lighting face recognition: T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, and T. Huang
Image cartoon-texture decomposition and feature selection using the total variation regularized L1 functional: W. Yin, D. Goldfarb, and S. Osher
Background correction for cDNA microarray image using the TV-L1 model: W. Yin, T. Chen, X.S. Zhou, and A. Chakraborty
Slope and G-set characterization of set-valued functions and applications to non-differentiable optimization problems: O. Scherzer, W. Yin, and S. Osher
An iterative regularization method for total variation-based image restoration: S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin
Second-order cone programming methods for total variation based image restoration: G. Goldfarb and W. Yin
Illumination normalization for face recognition and uneven background correction using total variation based image models: T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, and T. Huang
A new coarse-to-fine framework for 3D brain MR image registration: T. Chen, T. Huang, W. Yin, and X.S. Zhou