Papers
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2020
 Provably efficient exploration for RL with unsupervised learning
F. Feng, R. Wang, W. Yin, S. Du, L. Yang
 Does knowledge transfer always help to learn a better policy?
F. Feng, W. Yin, L. Yang
 Safeguarded learned convex optimization
H. Heaton, X. Chen, Z. Wang, W. Yin
 LASG: Lazily aggregated stochastic gradients for communicationefficient distributed learning
T. Chen, Y. Sun, W. Yin
 Lecture notes on ADMMtype methods
E. Ryu, W. Yin
2019
 Scaled relative graph of normal matrices
X. Huang, E. Ryu, W. Yin
 Tight coefficients of averaged operators via scaled relative graph
X. Huang, E. Ryu, W. Yin
 On the geometric analysis of a quarticquadratic optimization problem under a spherical constraint
H. Zhang, A. Milzarek, Z. Wen, W. Yin
 ODE analysis of stochastic gradient methods with optimism and anchoring for minimax problems and GANs
R. Ryu, K. Yuan, W. Yin
 Plugandplay methods provably converge with properly trained denoisers
E. Ryu, J. Liu, S. Wang, X. Chen, Z. Wang, W. Yin
 Scaled relative graph: nonexpansive operators via 2d Euclidean geometry
E. Ryu, R. Hannah, W. Yin
 Acceleration of SVRG and Katyusha X by unexact preconditioning
Y. Liu, F. Feng, W. Yin
 ALISTA: analytic weights are as good as learned weights in LISTA
J. Liu, X. Chen, Z. Wang, W. Yin
 Acceleration of primaldual methods by preconditioning and simple subproblem procedures
Y. Liu, Y. Xu, W. Yin
 AsyncQVI: Asynchronousparallel QValue iteration for reinforcement learning with nearoptimal sample complexity
Y. Zeng, F. Feng, W. Yin
 Consistent dynamic mode decomposition
O. Azencot, W. Yin, A. Bertozzi
2018
 A fast and accurate basis pursuit denoising algorithm with application to superresolving tomographic SAR
Y. Shi, X.X. Zhu, W. Yin, R. Bamler
 A sharp convergence rate analysis for distributed accelerated gradient methods
H. Li, C. Fang, W. Yin, Z. Lin
 Walkman: A Communicationefﬁcient randomwalk algorithm for decentralized optimization
X. Mao, K. Yuan, Y. Hu, Y. Gu, A. Sayed, W. Yin
 Markov chain block coordinate descent
T. Sun, Y. Sun, Y. Xu, W. Yin
 On Markov chain gradient escent
T. Sun, Y. Sun, W. Yin
 Multilevel optimal transport: a fast approximation of Wasserstein1 distances
J. Liu, W. Yin, W. Li, Y.T. Chow
 Theoretical linear convergence of unfolded ISTA and its practical weights and thresholds
X. Chen, J. Liu, Z. Wang, W. Yin
 LAG: Lazily aggregated gradient for communicationefficient distributed learning
T. Chen, G. Giannakis, T. Sun, W. Yin
 Breaking the span assumption yields fast finitesum minimization
R. Hannah, Y. Liu, D. O'Connor, W. Yin
 Algorithm for HamiltonJacobi equations in density space via a generalized Hopf formula
Y.T. Chow, W. Li, S. Osher, W. Yin
 An envelope for DavisYin splitting and strict saddle point avoidance
Y. Liu and W. Yin
 A2BCD: an asynchronous accelerated block coordinate descent algorithm with optimal complexity
R. Hannah, F. Feng, and W. Yin
 Denoising prior driven deep neural network for image restoration
W. Dong, P. Wang, W. Yin, G. Shi, F. Wu, X. Lu
 Redundancy techniques for straggler mitigation in distributed optimization and learning
C. Karakus, Y. Sun, S. Diggavi, and W. Yin
 DouglasRachford splitting for pathological convex optimization
E. Ryu, Y. Liu, and W. Yin
2017
 Runandinspect method for nonconvex optimization and global optimality bounds for rlocal minimizers
Y. Chen, Y. Sun, and W. Yin
 Straggler mitigation in distributed optimization through data encoding
C. Karakus, Y. Sun, S. Diggavi, and W. Yin
 Proximalproximalgradient method
E. Ryu and W. Yin
 More iterations per second, same quality  Why asynchronous algorithms may drastically outperform traditional ones
R. Hannah and W. Yin
 Robust linear unmixing with enhanced sparsity
A. Tiard, L. Condat, L. Drumetz, J. Chanussot, W. Yin, and X. Zhu
 First and second order methods for online convolutional dictionary learning
J. Liu, C. GarciaCardona, B. Wohlberg, and W. Yin
 A new use of DouglasRachford splitting and ADMM for identifying infeasible, unbounded, and pathological conic programs
Y. Liu, E. Ryu, and W. Yin
 Parallel redistancing using the Hopf–Lax formula
M. Royston, A. Pradhana, B. Lee, Y.T. Chow, W. Yin, J. Teran, and S. Osher
 Asynchronous coordinate descent under more realistic assumptions
T. Sun, R. Hannah, and W. Yin
 Algorithm for overcoming the curse of dimensionality for statedependent HamiltonJacobi equations
Y.T. Chow, J. Darbon, S. Osher, and W. Yin
 A parallel method for earth mover’s distance
W. Li, E. Ryu, S. Osher, W. Yin, and W. Gangbo
 Expander graph and communicationefficient decentralized optimization
Y.T. Chow, W. Shi, T. Wu, and W. Yin
2016
 On the convergence of asynchronous parallel iteration with arbitrary delays
Z. Peng, Y. Xu, M. Yan, and W. Yin
 Decentralized consensus optimization with asynchrony and delay
T. Wu, K. Yuan, Q. Ling, W. Yin, and A.H. Sayed
 Cyclic coordinate update algorithms for fixedpoint problems: analysis and applications
Y.T. Chow, T. Wu, and W. Yin
 Accelerated highresolution EEG source imaging
J. Qin, T. Wu, Y. Li, W. Yin, S. Osher, and W. Liu
 A primer on coordinate descent algorithms
H.J. Shi, S. Tu, Y. Xu, and W. Yin
 On unbounded delays in asynchronous parallel fixedpoint algorithms
R. Hannah and W. Yin
 Cauchy noise removal by nonconvex ADMM with convergence guarantees
J. Mei, Y. Dong, T. Huang, and W. Yin
 Algorithm for overcoming the curse of dimensionality for certain nonconvex HamiltonJacobi equations, projections and differential games
Y.T. Chow, J. Darbon, S. Osher, and W. Yin
 On nonconvex decentralized gradient descent
J. Zeng and W. Yin
 TMAC: A toolbox of modern asyncparallel, coordinate, splitting, and stochastic methods
B. Edmunds, Z. Peng, and W. Yin
 4pi noncoplanar IMRT beam angle selection by convex optimization with group sparsity penalty
D. O'Connor, Y. Voronenko, D. Nguyen, W. Yin, and K. Sheng
 Coordinate friendly structures, algorithms and applications
Z. Peng, T. Wu, Y. Xu, M. Yan, and W. Yin
2015
 Global convergence of ADMM in nonconvex nonsmooth optimization
Y. Wang, W. Yin, and J. Zeng
 Efficient simultaneous image deconvolution and upsampling algorithm for lowresolution microwave sounder data
J. Qin, I. Yanovsky, and W. Yin
 ExtraPush for convex smooth decentralized optimization over directed networks
J. Zeng and W. Yin
 Prediction of high resolution spatialtemporal air pollutant map from big data sources
Y. Li, Y. Zhu, W. Yin, Y. Liu, G. Shi, and Z. Han
 ARock: an algorithmic framework for asynchronous parallel coordinate updates
Z. Peng, Y. Xu, M. Yan, and W. Yin
 A threeoperator splitting scheme and its optimization applications
D. Davis and W. Yin
 A proximal gradient algorithm for decentralized composite optimization
W. Shi, Q. Ling, G. Wu, and W. Yin
2014
 Sparse kernel learningbased feature selection for anomaly detection
Z. Peng, P. Gurram, H. Kwon, and W. Yin
 A globally convergent algorithm for nonconvex optimization based on block coordinate update
Y. Xu and W. Yin
 Block stochastic gradient iteration for convex and nonconvex optimization
Y. Xu and W. Yin
 Sparse recovery via differential inclusions
S. Osher, F. Ruan, J. Xiong, Y. Yao, and W. Yin
 Self equivalence of the alternating direction method of multipliers
M. Yan and W. Yin
 Faster convergence rates of relaxed PeacemanRachford and ADMM under regularity assumptions
D. Davis and W. Yin
 Convergence rate analysis of several splitting schemes
D. Davis and W. Yin
 EXTRA: an exact firstorder algorithm for decentralized consensus optimization
W. Shi, Q. Ling, G. Wu, and W. Yin
 Parallel multiBlock ADMM with o(1/k) convergence
W. Deng, M.J. Lai, Z.Peng, and W. Yin
 Video compressive sensing for dynamic MRI
J. Shi, W. Yin, A. Sankaranarayanan, R. Baraniuk
 Democratic representations
Christoph Studer, T. Goldstein, W. Yin, and R. Baraniuk
 Parallel matrix factorization for lowrank tensor completion
Y. Xu, R. Hao, W. Yin, and Z. Su
2013
 Mixing spacetime derivatives for video compressive sensing
Y. Yang, H. Schaeffer, W. Yin, and S. Osher
 On the convergence of decentralized gradient descent
K. Yuan, Q. Ling, and W. Yin
 A fast patchdictionary method for wholeimage recovery
Y. Xu and W. Yin
 One condition for solution uniqueness and robustness of both l1synthesis and l1analysis minimizations
H. Zhang, M. Yan, and W. Yin
 Parallel and distributed sparse optimization
Z. Peng, M. Yan, and W. Yin
 Optimal sparse kernel learning for hyperspectral anomaly detection
P. Gurram, H. Kwon, Z. Peng, and W. Yin
 Sparse Radon transform with dual gradient ascent method
Y. Liu, Z. Peng, W. Symes, and W. Yin
 A linearized Bregman algorithm for decentralized basis pursuit
K. Yuan, Q. Ling, W. Yin, and A. Ribeiro
 On the linear convergence of the ADMM in decentralized consensus optimization
W. Shi, Q. Ling, K. Yuan, G. Wu, and W. Yin
 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 detailpreserving regularization scheme
W. Guo, J. Qin, and W. Yin
2012
 Extracting respiratory signals from thoracic cone beam CT projections
H. Yan et al.
 NuMax: a convex approach for learning nearisometric 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 regularized multiconvex 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 nuclearnorm 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 lowrank 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 1bit compressive measurements
J. Laska, Z. Wen, W. Yin, and R. Baraniuk
 High resolution OFDM channel estimation with low speed adc using compressive sensing
J. Meng, Y. Li, N. Nguyen, W. Yin, and Z. Han
 Foldingfree global conformal mapping for genus0 surfaces by harmonic energy minimization
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 lowrank factorization model for matrix completion by a nonlinear successive overrelaxation 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 l1minimization
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 TVL1L2 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: selffeeding 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
 Imagebased face illumination transferring using the logarithmic total variation model
Q. Li, W. Yin, and Z. Deng
 Fixedpoint 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 edgepreserving 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 l1minimization
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 l1minimization 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 L1regularized 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: Fixedpoint continuation for l1minimization: methodology and convergence
E.T. Hale, W. Yin, and Y. Zhang
 A curvilinear search method for pharmonic 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 cartoontexture 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 TVL1 model
W. Yin, T. Chen, X.S. Zhou, and A. Chakraborty
 Slope and Gset characterization of setvalued functions and applications to nondifferentiable optimization problems
O. Scherzer, W. Yin, and S. Osher
 An iterative regularization method for total variationbased image restoration
S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin
 Secondorder 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 coarsetofine framework for 3D brain MR image registration
T. Chen, T. Huang, W. Yin, and X.S. Zhou
Acknowledgements
The work of my group is supported by grants AFOSR MURI FA95501810502, NSF DMS1720237, and ONR N0001417121.
I am full time on leave at Alibaba US, DAMO Academy. My email is wotao.yin@alibabainc.com.
I am still directing the ressearch of my group at UCLA.
