A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing Y Xiao, H Zhu
Journal of Mathematical Analysis and Applications 405 (1), 310-319, 2013
241 2013 Non-smooth equations based method for ℓ1-norm problems with applications to compressed sensing Y Xiao, Q Wang, Q Hu
Nonlinear Analysis: Theory, Methods & Applications 74 (11), 3570-3577, 2011
161 2011 Spectral gradient projection method for monotone nonlinear equations with convex constraints Z Yu, J Lin, J Sun, Y Xiao, L Liu, Z Li
Applied numerical mathematics 59 (10), 2416-2423, 2009
157 2009 A limited memory BFGS-type method for large-scale unconstrained optimization Y Xiao, Z Wei, Z Wang
Computers & Mathematics with Applications 56 (4), 1001-1009, 2008
102 2008 Alternating algorithms for total variation image reconstruction from random projections Y Xiao, J Yang, X Yuan
Inverse Problems and Imaging 6 (3), 547-563, 2012
65 2012 Nonlinear conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization J Zhang, Y Xiao, Z Wei, JJ Júdice
Mathematical Problems in Engineering 2009 (1), 1-16, 2009
61 2009 A class of conjugate gradient methods for convex constrained monotone equations Y Ding, Y Xiao, J Li
Optimization 66 (12), 2309-2328, 2017
56 2017 An inexact alternating directions algorithm for constrained total variation regularized compressive sensing problems YH Xiao, HN Song
Journal of Mathematical Imaging and Vision 44 (2), 114-127, 2012
54 2012 Primal and dual alternating direction algorithms for ℓ 1 -ℓ 1 -norm minimization problems in compressive sensing Y Xiao, H Zhu, SY Wu
Computational Optimization and Applications 54, 441-459, 2013
46 2013 Notes on the Dai–Yuan–Yuan modified spectral gradient method Y Xiao, Q Wang, D Wang
Journal of computational and applied mathematics 234 (10), 2986-2992, 2010
38 2010 A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming Y Xiao, L Chen, D Li
Mathematical Programming Computation 10, 533-555, 2018
32 2018 A globally convergent BFGS method with nonmonotone line search for non-convex minimization Y Xiao, H Sun, Z Wang
Journal of computational and applied mathematics 230 (1), 95-106, 2009
31 2009 A family of derivative-free conjugate gradient methods for large-scale nonlinear systems of equations W Cheng, Y Xiao, QJ Hu
Journal of Computational and Applied Mathematics 224 (1), 11-19, 2009
30 2009 Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique H Zhu, Y Xiao, SY Wu
Computers & Mathematics with Applications 66 (1), 24-32, 2013
27 2013 An alternating direction method for linear‐constrained matrix nuclear norm minimization YH Xiao, ZF Jin
Numerical Linear Algebra with Applications 19 (3), 541-554, 2012
25 2012 Norm descent conjugate gradient methods for solving symmetric nonlinear equations Y Xiao, C Wu, SY Wu
Journal of Global Optimization 62 (4), 751-762, 2015
24 2015 A new subspace limited memory BFGS algorithm for large-scale bound constrained optimization Y Xiao, Z Wei
Applied Mathematics and Computation 185 (1), 350-359, 2007
22 2007 Nonmonotone Barzilai–Borwein Gradient Algorithm for -Regularized Nonsmooth Minimization in Compressive Sensing Y Xiao, SY Wu, L Qi
Journal of scientific computing 61 (1), 17-41, 2014
21 2014 Subspace Barzilai-Borwein gradient method for large-scale bound constrained optimization Y Xiao, Q Hu
Applied Mathematics and Optimization 58 (2), 275-290, 2008
21 2008 Sufficient descent directions in unconstrained optimization XM An, DH Li, Y Xiao
Computational Optimization and Applications 48 (3), 515-532, 2011
20 2011