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 | 240 | 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 | 156 | 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 | 55 | 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 sensingY 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 |