Year |
Citation |
Score |
2020 |
Liu T, Lu Z, Chen X, Dai YH. An exact penalty method for semidefinite-box-constrained low-rank matrix optimization problems Ima Journal of Numerical Analysis. 40: 563-586. DOI: 10.1093/Imanum/Dry069 |
0.475 |
|
2019 |
Lu Z, Zhou Z. Nonmonotone enhanced proximal DC algorithms for a class of structured nonsmooth DC programming Siam Journal On Optimization. 29: 2725-2752. DOI: 10.1137/18M1214342 |
0.334 |
|
2018 |
Lu Z, Zhou Z, Sun Z. Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization Mathematical Programming. 176: 369-401. DOI: 10.1007/S10107-018-1318-9 |
0.396 |
|
2017 |
Lu Z, Xiao L. A Randomized Nonmonotone Block Proximal Gradient Method for a Class of Structured Nonlinear Programming Siam Journal On Numerical Analysis. 55: 2930-2955. DOI: 10.1137/16M1110182 |
0.474 |
|
2017 |
Lu Z. Randomized Block Proximal Damped Newton Method for Composite Self-Concordant Minimization Siam Journal On Optimization. 27: 1910-1942. DOI: 10.1137/16M1082767 |
0.485 |
|
2017 |
Chen X, Guo L, Lu Z, Ye JJ. An Augmented Lagrangian Method for Non-Lipschitz Nonconvex Programming Siam Journal On Numerical Analysis. 55: 168-193. DOI: 10.1137/15M1052834 |
0.508 |
|
2016 |
Chen X, Lu Z, Pong TK. Penalty Methods for a Class of Non-Lipschitz Optimization Problems Siam Journal On Optimization. 26: 1465-1492. DOI: 10.1137/15M1028054 |
0.481 |
|
2015 |
Lin Q, Lu Z, Xiao L. An Accelerated Randomized Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization Siam Journal On Optimization. 25: 2244-2273. DOI: 10.1137/141000270 |
0.491 |
|
2015 |
Ulbrich M, Wen Z, Yang C, Klöckner D, Lu Z. A Proximal Gradient Method For Ensemble Density Functional Theory Siam Journal On Scientific Computing. 37. DOI: 10.1137/14098973X |
0.381 |
|
2015 |
Wang Z, Lai MJ, Lu Z, Fan W, Davulcu H, Ye J. Orthogonal rank-one matrix pursuit for low rank matrix completion Siam Journal On Scientific Computing. 37: A488-A514. DOI: 10.1137/130934271 |
0.396 |
|
2015 |
Xu F, Lu Z, Xu Z. An efficient optimization approach for a cardinality-constrained index tracking problem Optimization Methods and Software. DOI: 10.1080/10556788.2015.1062891 |
0.443 |
|
2015 |
Lu Z, Zhang Y, Li X. Penalty decomposition methods for rank minimization Optimization Methods & Software. 30: 531-558. DOI: 10.1080/10556788.2014.936438 |
0.505 |
|
2015 |
Lu Z, Xiao L. On the complexity analysis of randomized block-coordinate descent methods Mathematical Programming. 152: 615-642. DOI: 10.1007/S10107-014-0800-2 |
0.479 |
|
2013 |
Gong P, Zhang C, Lu Z, Huang JZ, Ye J. A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. Proceedings of the ... International Conference On Machine Learning. International Conference On Machine Learning. 28: 37-45. PMID 25285330 |
0.405 |
|
2013 |
Zhang D, Lu Z. Assessing the Value of Dynamic Pricing in Network Revenue Management Informs Journal On Computing. 25: 102-115. DOI: 10.1287/Ijoc.1110.0488 |
0.323 |
|
2013 |
Lu Z, Pong TK. Computing optimal experimental designs via interior point method Siam Journal On Matrix Analysis and Applications. 34: 1556-1580. DOI: 10.1137/120895093 |
0.463 |
|
2013 |
Lu Z, Zhang Y. Sparse Approximation via Penalty Decomposition Methods Siam Journal On Optimization. 23: 2448-2478. DOI: 10.1137/100808071 |
0.468 |
|
2013 |
Lu Z. Primal-dual first-order methods for a class of cone programming Optimization Methods and Software. 28: 1262-1281. DOI: 10.1080/10556788.2012.697901 |
0.499 |
|
2013 |
Lu Z. Iterative reweighted minimization methods for lp regularized unconstrained nonlinear programming Mathematical Programming. 147: 277-307. DOI: 10.1007/S10107-013-0722-4 |
0.505 |
|
2013 |
Lu Z. Iterative hard thresholding methods for l0 regularized convex cone programming Mathematical Programming. 147: 125-154. DOI: 10.1007/S10107-013-0714-4 |
0.498 |
|
2012 |
Lu Z, Pong TK, Zhang Y. An alternating direction method for finding Dantzig selectors Computational Statistics and Data Analysis. 56: 4037-4046. DOI: 10.1016/J.Csda.2012.04.019 |
0.403 |
|
2012 |
Lu Z, Zhang Y. An Augmented Lagrangian Approach for Sparse Principal Component Analysis Mathematical Programming. 135: 149-193. DOI: 10.1007/S10107-011-0452-4 |
0.358 |
|
2012 |
Lu Z, Monteiro RDC, Yuan M. Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression Mathematical Programming. 131: 163-194. DOI: 10.1007/S10107-010-0350-1 |
0.434 |
|
2011 |
Lu Z, Pong TK. Minimizing condition number via convex programming Siam Journal On Matrix Analysis and Applications. 32: 1193-1211. DOI: 10.1137/100795097 |
0.528 |
|
2011 |
Lu Z. Robust portfolio selection based on a joint ellipsoidal uncertainty set Optimization Methods and Software. 26: 89-104. DOI: 10.1080/10556780903334682 |
0.396 |
|
2011 |
Lu Z. A computational study on robust portfolio selection based on a joint ellipsoidal uncertainty set Mathematical Programming. 126: 193-201. DOI: 10.1007/S10107-009-0271-Z |
0.37 |
|
2011 |
Lan G, Lu Z, Monteiro RDC. Primal-dual first-order methods with O(1/∈) iteration-complexity for cone programming Mathematical Programming. 126: 1-29. DOI: 10.1007/S10107-008-0261-6 |
0.616 |
|
2009 |
Lu Z. Adaptive first-order methods for general sparse inverse covariance selection Siam Journal On Matrix Analysis and Applications. 31: 2000-2016. DOI: 10.1137/080742531 |
0.474 |
|
2009 |
Lu Z, Monteiro RDC, O'Neal JW. An iterative solver-based long-step infeasible primal-dual path-following algorithm for convex QP based on a class of preconditioners Optimization Methods and Software. 24: 123-143. DOI: 10.1080/10556780802414049 |
0.473 |
|
2008 |
Lu Z. Smooth optimization approach for sparse covariance selection Siam Journal On Optimization. 19: 1807-1827. DOI: 10.1137/070695915 |
0.497 |
|
2007 |
Yuan M, Ekici A, Lu Z, Monteiro R. Dimension reduction and coefficient estimation in multivariate linear regression Journal of the Royal Statistical Society. Series B: Statistical Methodology. 69: 329-346. DOI: 10.1111/J.1467-9868.2007.00591.X |
0.377 |
|
2007 |
Lu Z, Monteiro RDC. Limiting behavior of the Alizadeh-Haeberly-Overton weighted paths in semidefinite programming Optimization Methods & Software. 22: 849-870. DOI: 10.1080/10556780701374633 |
0.462 |
|
2007 |
Lu Z, Nemirovski A, Monteiro RDC. Large-scale semidefinite programming via a saddle point Mirror-Prox algorithm Mathematical Programming. 109: 211-237. DOI: 10.1007/S10107-006-0031-2 |
0.605 |
|
2007 |
Lu Z, Monteiro RDC. A modified nearly exact method for solving low-rank trust region subproblem Mathematical Programming. 109: 385-411. DOI: 10.1007/S10107-006-0025-0 |
0.495 |
|
2006 |
Lu Z, Monteiro RDC, O'Neal JW. An Iterative Solver-Based Infeasible Primal-Dual Path-Following Algorithm for Convex Quadratic Programming Siam Journal On Optimization. 17: 287-310. DOI: 10.1137/04060771X |
0.479 |
|
2005 |
Lu Z, Monteiro RDC. Error Bounds and Limiting Behavior of Weighted Paths Associated with the SDP Map X 1/2 SX 1/2 Siam Journal On Optimization. 15: 348-374. DOI: 10.1137/S1052623403430828 |
0.42 |
|
2005 |
Lu Z, Monteiro RDC. A Note on the Local Convergence of a Predictor-Corrector Interior-Point Algorithm for the Semidefinite Linear Complementarity Problem Based on the Alizadeh-Haeberly-Overton Search Direction Siam Journal On Optimization. 15: 1147-1154. DOI: 10.1137/04060531X |
0.443 |
|
2004 |
Meneses CN, Lu Z, Oliveira CAS, Pardalos PM. Optimal Solutions for the Closest-String Problem via Integer Programming Informs Journal On Computing. 16: 419-429. DOI: 10.1287/Ijoc.1040.0090 |
0.434 |
|
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