Dimension reduction and coefficient estimation in multivariate linear regression M Yuan, A Ekici, Z Lu, R Monteiro Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2007 | 303 | 2007 |

A general iterative shrinkage and thresholding algorithm for non-convex regularized optimization problems P Gong, C Zhang, Z Lu, J Huang, J Ye international conference on machine learning, 37-45, 2013 | 250 | 2013 |

On the complexity analysis of randomized block-coordinate descent methods Z Lu, L Xiao Mathematical Programming 152 (1), 615-642, 2015 | 203 | 2015 |

Primal-dual first-order methods with iteration-complexity for cone programming G Lan, Z Lu, RDC Monteiro Mathematical Programming 126 (1), 1-29, 2011 | 195 | 2011 |

Sparse approximation via penalty decomposition methods Z Lu, Y Zhang SIAM Journal on Optimization 23 (4), 2448-2478, 2013 | 188* | 2013 |

An accelerated proximal coordinate gradient method Q Lin, Z Lu, L Xiao Advances in Neural Information Processing Systems 27, 3059-3067, 2014 | 127 | 2014 |

Smooth optimization approach for sparse covariance selection Z Lu SIAM Journal on Optimization 19 (4), 1807-1827, 2009 | 120 | 2009 |

An augmented Lagrangian approach for sparse principal component analysis Z Lu, Y Zhang Mathematical Programming 135 (1), 149-193, 2012 | 111 | 2012 |

Iterative reweighted minimization methods for regularized unconstrained nonlinear programming Z Lu Mathematical Programming 147 (1-2), 277-307, 2014 | 101 | 2014 |

Diagonal quadratic approximation for parallelization of analytical target cascading Y Li, Z Lu, JJ Michalek Journal of Mechanical Design 130 (5), 2008 | 96 | 2008 |

ℓ₀ Minimization for wavelet frame based image restoration Y Zhang, B Dong, Z Lu Mathematics of Computation 82 (282), 995-1015, 2013 | 95 | 2013 |

An accelerated randomized proximal coordinate gradient method and its application to regularized empirical risk minimization Q Lin, Z Lu, L Xiao SIAM Journal on Optimization 25 (4), 2244-2273, 2015 | 92 | 2015 |

Penalty decomposition methods for rank minimization Z Lu, Y Zhang, X Li Optimization Methods and Software 30 (3), 531-558, 2015 | 77* | 2015 |

Iterative hard thresholding methods for regularized convex cone programming Z Lu Mathematical Programming 147 (1-2), 125-154, 2014 | 77 | 2014 |

Fused multiple graphical lasso S Yang, Z Lu, X Shen, P Wonka, J Ye SIAM Journal on Optimization 25 (2), 916-943, 2015 | 76 | 2015 |

Orthogonal rank-one matrix pursuit for low rank matrix completion Z Wang, MJ Lai, Z Lu, W Fan, H Davulcu, J Ye SIAM Journal on Scientific Computing 37 (1), A488-A514, 2015 | 75 | 2015 |

Optimal solutions for the closest-string problem via integer programming CN Meneses, Z Lu, CAS Oliveira, PM Pardalos INFORMS Journal on Computing 16 (4), 419-429, 2004 | 66 | 2004 |

Adaptive first-order methods for general sparse inverse covariance selection Z Lu SIAM Journal on Matrix Analysis and Applications 31 (4), 2000-2016, 2010 | 58 | 2010 |

Rank-one matrix pursuit for matrix completion Z Wang, MJ Lai, Z Lu, W Fan, H Davulcu, J Ye International Conference on Machine Learning, 91-99, 2014 | 56 | 2014 |

Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression Z Lu, RDC Monteiro, M Yuan Mathematical Programming 131 (1), 163-194, 2012 | 54 | 2012 |