Alternating direction methods for classical and ptychographic phase retrieval Z Wen, C Yang, X Liu, S Marchesini Inverse Problems 28 (11), 115010, 2012 | 140 | 2012 |

Limited memory block Krylov subspace optimization for computing dominant singular value decompositions X Liu, Z Wen, Y Zhang SIAM Journal on Scientific Computing 35 (3), A1641-A1668, 2013 | 69 | 2013 |

On the convergence of the self-consistent field iteration in Kohn--Sham density functional theory X Liu, X Wang, Z Wen, Y Yuan SIAM Journal on Matrix Analysis and Applications 35 (2), 546-558, 2014 | 41 | 2014 |

Trace-penalty minimization for large-scale eigenspace computation Z Wen, C Yang, X Liu, Y Zhang Journal of Scientific Computing 66 (3), 1175-1203, 2016 | 39 | 2016 |

A new first-order algorithmic framework for optimization problems with orthogonality constraints B Gao, X Liu, X Chen, Y Yuan SIAM Journal on Optimization 28 (1), 302-332, 2018 | 37* | 2018 |

An efficient Gauss--Newton algorithm for symmetric low-rank product matrix approximations X Liu, Z Wen, Y Zhang SIAM Journal on Optimization 25 (3), 1571-1608, 2015 | 31 | 2015 |

Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights C Chen, M Li, X Liu, Y Ye Mathematical Programming 173 (1-2), 37-77, 2019 | 29 | 2019 |

On the analysis of the discretized Kohn--Sham density functional theory X Liu, Z Wen, X Wang, M Ulbrich, Y Yuan SIAM Journal on Numerical Analysis 53 (4), 1758-1785, 2015 | 29 | 2015 |

A brief introduction to manifold optimization J Hu, X Liu, ZW Wen, YX Yuan Journal of the Operations Research Society of China 8 (2), 199-248, 2020 | 28 | 2020 |

On the nonergodic convergence rate of an inexact augmented Lagrangian framework for composite convex programming YF Liu, X Liu, S Ma Mathematics of Operations Research 44 (2), 632-650, 2019 | 26 | 2019 |

Asset allocation under the basel accord risk measures Z Wen, X Peng, X Liu, X Sun, X Bai arXiv preprint arXiv:1308.1321, 2013 | 25 | 2013 |

Parallelizable algorithms for optimization problems with orthogonality constraints B Gao, X Liu, Y Yuan SIAM Journal on Scientific Computing 41 (3), A1949-A1983, 2019 | 14 | 2019 |

A Note on Semidefinite Programming Relaxations for Polynomial Optimization Over a Single Sphere J Hu, B Jiang, X Liu, Z Wen | 13 | 2016 |

Globally convergent Levenberg-Marquardt method for phase retrieval C Ma, X Liu, Z Wen IEEE Transactions on Information Theory 65 (4), 2343-2359, 2018 | 11 | 2018 |

On the convergence of multi-block alternating direction method of multipliers and block coordinate descent method C Chen, M Li, X Liu, Y Ye arXiv preprint arXiv:1508.00193 3 (5), 6, 2015 | 11 | 2015 |

On the {\L} ojasiewicz exponent of the quadratic sphere constrained optimization problem B Gao, X Liu, X Chen, Y Yuan arXiv preprint arXiv:1611.08781, 2016 | 10 | 2016 |

Introduction to compressive sensing and sparse optimization Z Wen, W Yin, X Liu, Y Zhang OR Transactions 16 (3), 49-64, 2012 | 6 | 2012 |

A class of smooth exact penalty function methods for optimization problems with orthogonality constraints N Xiao, X Liu, Y Yuan Optimization Methods and Software, 1-37, 2020 | 5 | 2020 |

Uniform bounds on the 1-norm of the inverse of lower triangular Toeplitz matrices X Liu, S McKee, JY Yuan, YX Yuan Linear algebra and its applications 435 (5), 1157-1170, 2011 | 5 | 2011 |

A parallel line search subspace correction method for composite convex optimization Q Dong, X Liu, ZW Wen, YX Yuan Journal of the Operations Research Society of China 3 (2), 163-187, 2015 | 4 | 2015 |