default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhaosong Lu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j52]Hong Zhu, Xiaoxia Liu, Lin Huang, Zhaosong Lu, Jian Lu
, Michael K. Ng:
Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery. Adv. Comput. Math. 50(4): 75 (2024)- [j51]Oh-Ran Kwon, Zhaosong Lu, Hui Zou:
Exactly Uncorrelated Sparse Principal Component Analysis. J. Comput. Graph. Stat. 33(1): 231-241 (2024) - [j50]Zhaosong Lu, Sanyou Mei:
First-Order Penalty Methods for Bilevel Optimization. SIAM J. Optim. 34(2): 1937-1969 (2024) - [i23]Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang:
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions. CoRR abs/2405.18577 (2024) - [i22]Zhaosong Lu, Sanyou Mei, Yifeng Xiao:
Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees. CoRR abs/2409.09906 (2024) - 2023
- [j49]Saghir Alfasly, Jian Lu, Chen Xu, Zaid Al-Huda, Qingtang Jiang, Zhaosong Lu, Charles K. Chui:
FastPicker: Adaptive independent two-stage video-to-video summarization for efficient action recognition. Neurocomputing 516: 231-244 (2023) - [j48]Masaru Ito, Zhaosong Lu, Chuan He:
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition. J. Mach. Learn. Res. 24: 166:1-166:34 (2023) - [j47]Zhaosong Lu, Xiaorui Li, Shuhuang Xiang:
Exact penalization for cardinality and rank-constrained optimization problems via partial regularization. Optim. Methods Softw. 38(2): 412-433 (2023) - [j46]Zhaosong Lu, Zirui Zhou:
Iteration-Complexity of First-Order Augmented Lagrangian Methods for Convex Conic Programming. SIAM J. Optim. 33(2): 1159-1190 (2023) - [j45]Chuan He, Zhaosong Lu:
A Newton-CG Based Barrier Method for Finding a Second-Order Stationary Point of Nonconvex Conic Optimization with Complexity Guarantees. SIAM J. Optim. 33(2): 1191-1222 (2023) - [j44]Chuan He, Zhaosong Lu, Ting Kei Pong:
A Newton-CG Based Augmented Lagrangian Method for Finding a Second-Order Stationary Point of Nonconvex Equality Constrained Optimization with Complexity Guarantees. SIAM J. Optim. 33(3): 1734-1766 (2023) - [j43]Zhaosong Lu, Sanyou Mei:
Accelerated First-Order Methods for Convex Optimization with Locally Lipschitz Continuous Gradient. SIAM J. Optim. 33(3): 2275-2310 (2023) - [c6]Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu:
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization. ICML 2023: 5396-5427 - [i21]Zhaosong Lu, Sanyou Mei:
First-order penalty methods for bilevel optimization. CoRR abs/2301.01716 (2023) - [i20]Zhaosong Lu, Sanyou Mei:
A first-order augmented Lagrangian method for constrained minimax optimization. CoRR abs/2301.02060 (2023) - [i19]Chuan He, Zhaosong Lu, Ting Kei Pong:
A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees. CoRR abs/2301.03139 (2023) - [i18]Chuan He, Heng Huang, Zhaosong Lu:
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. CoRR abs/2301.04204 (2023) - [i17]Chuan He, Zhaosong Lu:
Newton-CG methods for nonconvex unconstrained optimization with Hölder continuous Hessian. CoRR abs/2311.13094 (2023) - 2022
- [j42]Zhaosong Lu, Zhe Sun, Zirui Zhou:
Penalty and Augmented Lagrangian Methods for Constrained DC Programming. Math. Oper. Res. 47(3): 2260-2285 (2022) - [i16]Zhaosong Lu, Sanyou Mei:
Primal-dual extrapolation methods for monotone inclusions under local Lipschitz continuity with applications to variational inequality, conic constrained saddle point, and convex conic optimization problems. CoRR abs/2206.00973 (2022) - [i15]Zhaosong Lu, Sanyou Mei:
Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient. CoRR abs/2206.01209 (2022) - [i14]Chuan He, Zhaosong Lu:
A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees. CoRR abs/2207.05697 (2022) - 2021
- [j41]Peiran Yu, Ting Kei Pong, Zhaosong Lu:
Convergence Rate Analysis of a Sequential Convex Programming Method with Line Search for a Class of Constrained Difference-of-Convex Optimization Problems. SIAM J. Optim. 31(3): 2024-2054 (2021)
2010 – 2019
- 2019
- [j40]Zhaosong Lu, Zirui Zhou, Zhe Sun:
Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization. Math. Program. 176(1-2): 369-401 (2019) - [j39]Zhaosong Lu, Zirui Zhou:
Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming. SIAM J. Optim. 29(4): 2725-2752 (2019) - 2018
- [j38]Zhaosong Lu, Xiaojun Chen:
Generalized Conjugate Gradient Methods for ℓ1 Regularized Convex Quadratic Programming with Finite Convergence. Math. Oper. Res. 43(1): 275-303 (2018) - [j37]Zhaosong Lu, Xiaorui Li:
Sparse Recovery via Partial Regularization: Models, Theory, and Algorithms. Math. Oper. Res. 43(4): 1290-1316 (2018) - 2017
- [j36]Zhaosong Lu, Yong Zhang, Jian Lu:
\(\ell _p\) Regularized low-rank approximation via iterative reweighted singular value minimization. Comput. Optim. Appl. 68(3): 619-642 (2017) - [j35]Zhaosong Lu:
Randomized Block Proximal Damped Newton Method for Composite Self-Concordant Minimization. SIAM J. Optim. 27(3): 1910-1942 (2017) - [j34]Xiaojun Chen, Lei Guo, Zhaosong Lu, Jane J. Ye:
An Augmented Lagrangian Method for Non-Lipschitz Nonconvex Programming. SIAM J. Numer. Anal. 55(1): 168-193 (2017) - [j33]Zhaosong Lu, Lin Xiao:
A Randomized Nonmonotone Block Proximal Gradient Method for a Class of Structured Nonlinear Programming. SIAM J. Numer. Anal. 55(6): 2930-2955 (2017) - 2016
- [j32]Fengmin Xu, Zhaosong Lu, Zongben Xu:
An efficient optimization approach for a cardinality-constrained index tracking problem. Optim. Methods Softw. 31(2): 258-271 (2016) - [j31]Xiaojun Chen, Zhaosong Lu, Ting Kei Pong:
Penalty Methods for a Class of Non-Lipschitz Optimization Problems. SIAM J. Optim. 26(3): 1465-1492 (2016) - [i13]Zhaosong Lu:
Randomized block proximal damped Newton method for composite self-concordant minimization. CoRR abs/1607.00101 (2016) - 2015
- [j30]Zhaosong Lu, Lin Xiao:
On the complexity analysis of randomized block-coordinate descent methods. Math. Program. 152(1-2): 615-642 (2015) - [j29]Zhaosong Lu, Yong Zhang, Xiaorui Li:
Penalty decomposition methods for rank minimization. Optim. Methods Softw. 30(3): 531-558 (2015) - [j28]Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye:
Fused Multiple Graphical Lasso. SIAM J. Optim. 25(2): 916-943 (2015) - [j27]Qihang Lin, Zhaosong Lu, Lin Xiao:
An Accelerated Randomized Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization. SIAM J. Optim. 25(4): 2244-2273 (2015) - [j26]Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye:
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion. SIAM J. Sci. Comput. 37(1) (2015) - [j25]Michael Ulbrich, Zaiwen Wen, Chao Yang, Dennis Klöckner, Zhaosong Lu:
A Proximal Gradient Method for Ensemble Density Functional Theory. SIAM J. Sci. Comput. 37(4) (2015) - [i12]Zhaosong Lu:
A Nonmonotone Projected Gradient Method for Optimization over Sparse Symmetric Sets. CoRR abs/1509.08581 (2015) - [i11]Zhaosong Lu, Xiaorui Li:
Sparse Recovery via Partial Regularization: Models, Theory and Algorithms. CoRR abs/1511.07293 (2015) - [i10]Zhaosong Lu, Xiaojun Chen:
Generalized Conjugate Gradient Methods for ℓ1 Regularized Convex Quadratic Programming with Finite Convergence. CoRR abs/1511.07837 (2015) - 2014
- [j24]Zhaosong Lu:
Iterative hard thresholding methods for l0 regularized convex cone programming. Math. Program. 147(1-2): 125-154 (2014) - [j23]Zhaosong Lu:
Iterative reweighted minimization methods for lp regularized unconstrained nonlinear programming. Math. Program. 147(1-2): 277-307 (2014) - [c5]Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye:
Rank-One Matrix Pursuit for Matrix Completion. ICML 2014: 91-99 - [c4]Qihang Lin, Zhaosong Lu, Lin Xiao:
An Accelerated Proximal Coordinate Gradient Method. NIPS 2014: 3059-3067 - [i9]Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye:
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion. CoRR abs/1404.1377 (2014) - 2013
- [j22]Dan Zhang, Zhaosong Lu:
Assessing the Value of Dynamic Pricing in Network Revenue Management. INFORMS J. Comput. 25(1): 102-115 (2013) - [j21]Yong Zhang, Bin Dong, Zhaosong Lu:
ℓ0 Minimization for wavelet frame based image restoration. Math. Comput. 82(282): 995-1015 (2013) - [j20]Zhaosong Lu:
Primal-dual first-order methods for a class of cone programming. Optim. Methods Softw. 28(6): 1262-1281 (2013) - [j19]Zhaosong Lu, Yong Zhang:
Sparse Approximation via Penalty Decomposition Methods. SIAM J. Optim. 23(4): 2448-2478 (2013) - [j18]Zhaosong Lu, Ting Kei Pong:
Computing Optimal Experimental Designs via Interior Point Method. SIAM J. Matrix Anal. Appl. 34(4): 1556-1580 (2013) - [c3]Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye:
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. ICML (2) 2013: 37-45 - [c2]Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye:
FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD 2013: 1034-1042 - [i8]Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye:
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. CoRR abs/1303.4434 (2013) - [i7]Zhaosong Lu, Lin Xiao:
On the Complexity Analysis of Randomized Block-Coordinate Descent Methods. CoRR abs/1305.4723 (2013) - [i6]Zhaosong Lu, Lin Xiao:
Randomized Block Coordinate Non-Monotone Gradient Method for a Class of Nonlinear Programming. CoRR abs/1306.5918 (2013) - 2012
- [j17]Zhaosong Lu, Ting Kei Pong, Yong Zhang:
An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. 56(12): 4037-4046 (2012) - [j16]Zhaosong Lu, Renato D. C. Monteiro, Ming Yuan:
Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression. Math. Program. 131(1-2): 163-194 (2012) - [j15]Zhaosong Lu, Yong Zhang:
An augmented Lagrangian approach for sparse principal component analysis. Math. Program. 135(1-2): 149-193 (2012) - [i5]Zhaosong Lu, Yong Zhang:
Sparse Approximation via Penalty Decomposition Methods. CoRR abs/1205.2334 (2012) - [i4]Zhaosong Lu:
Iterative Reweighted Minimization Methods for $l_p$ Regularized Unconstrained Nonlinear Programming. CoRR abs/1210.0066 (2012) - [i3]Zhaosong Lu:
Iterative Hard Thresholding Methods for $l_0$ Regularized Convex Cone Programming. CoRR abs/1211.0056 (2012) - 2011
- [j14]Guanghui Lan, Zhaosong Lu, Renato D. C. Monteiro:
Primal-dual first-order methods with O(1/e) iteration-complexity for cone programming. Math. Program. 126(1): 1-29 (2011) - [j13]Zhaosong Lu:
A computational study on robust portfolio selection based on a joint ellipsoidal uncertainty set. Math. Program. 126(1): 193-201 (2011) - [j12]Zhaosong Lu:
Robust portfolio selection based on a joint ellipsoidal uncertainty set. Optim. Methods Softw. 26(1): 89-104 (2011) - [j11]Zhaosong Lu, Ting Kei Pong:
Minimizing Condition Number via Convex Programming. SIAM J. Matrix Anal. Appl. 32(4): 1193-1211 (2011) - [c1]Yong Zhang, Zhaosong Lu:
Penalty Decomposition Methods for Rank Minimization. NIPS 2011: 46-54 - [i2]Yong Zhang, Bin Dong, Zhaosong Lu:
ℓ0 Minimization for Wavelet Frame Based Image Restoration. CoRR abs/1105.2782 (2011) - 2010
- [j10]Zhaosong Lu:
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection. SIAM J. Matrix Anal. Appl. 31(4): 2000-2016 (2010)
2000 – 2009
- 2009
- [j9]Zhaosong Lu, Renato D. C. Monteiro, Jerome W. O'Neal:
An iterative solver-based long-step infeasible primal-dual path-following algorithm for convex QP based on a class of preconditioners. Optim. Methods Softw. 24(1): 123-143 (2009) - [j8]Zhaosong Lu:
Smooth Optimization Approach for Sparse Covariance Selection. SIAM J. Optim. 19(4): 1807-1827 (2009) - [i1]Zhaosong Lu, Yong Zhang:
An Augmented Lagrangian Approach for Sparse Principal Component Analysis. CoRR abs/0907.2079 (2009) - 2007
- [j7]Zhaosong Lu, Arkadi Nemirovski, Renato D. C. Monteiro:
Large-scale semidefinite programming via a saddle point Mirror-Prox algorithm. Math. Program. 109(2-3): 211-237 (2007) - [j6]Zhaosong Lu, Renato D. C. Monteiro:
A modified nearly exact method for solving low-rank trust region subproblem. Math. Program. 109(2-3): 385-411 (2007) - [j5]Zhaosong Lu, Renato D. C. Monteiro:
Limiting behavior of the Alizadeh-Haeberly-Overton weighted paths in semidefinite programming. Optim. Methods Softw. 22(5): 849-870 (2007) - 2006
- [j4]Zhaosong Lu, Renato D. C. Monteiro, Jerome W. O'Neal:
An Iterative Solver-Based Infeasible Primal-Dual Path-Following Algorithm for Convex Quadratic Programming. SIAM J. Optim. 17(1): 287-310 (2006) - 2005
- [j3]Zhaosong Lu, Renato D. C. Monteiro:
Error Bounds and Limiting Behavior of Weighted Paths Associated with the SDP Map X1/2SX1/2. SIAM J. Optim. 15(2): 348-374 (2005) - [j2]Zhaosong Lu, Renato D. C. Monteiro:
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 J. Optim. 15(4): 1147-1154 (2005) - 2004
- [j1]Cláudio Nogueira de Meneses, Zhaosong Lu, Carlos A. S. Oliveira, Panos M. Pardalos:
Optimal Solutions for the Closest-String Problem via Integer Programming. INFORMS J. Comput. 16(4): 419-429 (2004)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
