Zhaosong Lu - RankMe

96 papers A* 4Journal 88Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A first-order method for nonconvex-strongly-concave constrained minimax optimization. Optim. Methods Softw. Zhaosong Lu, Sanyou Mei
2026	J	`jnl`	Variance-Reduced First-Order Methods for Deterministically Constrained Stochastic Nonconvex Optimization with Strong Convergence Guarantees. SIAM J. Optim. Zhaosong Lu, Sanyou Mei, Yifeng Xiao
2025	J	`jnl`	A first-order augmented Lagrangian method for constrained minimax optimization. Math. Program. Zhaosong Lu, Sanyou Mei
2025	J	`jnl`	A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Łojasiewicz condition. CoRR Zhaosong Lu, Xiangyuan Wang
2025	J	`jnl`	A first-order method for nonconvex-strongly-concave constrained minimax optimization. CoRR Zhaosong Lu, Sanyou Mei
2025	J	`jnl`	Accelerated stochastic first-order method for convex optimization under heavy-tailed noise. CoRR Chuan He, Zhaosong Lu
2025	J	`jnl`	Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise. CoRR Chuan He, Zhaosong Lu, Defeng Sun, Zhanwang Deng
2025	J	`jnl`	First-order methods for stochastic and finite-sum convex optimization with deterministic constraints. CoRR Zhaosong Lu, Yifeng Xiao
2025	J	`jnl`	Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training. CoRR Chuan He, Zhanwang Deng, Zhaosong Lu
2025	J	`jnl`	Nested Stochastic Gradient Descent for (Generalized) Sinkhorn Distance-Regularized Distributionally Robust Optimization. CoRR Yufeng Yang, Yi Zhou, Zhaosong Lu
2025	J	`jnl`	Primal-Dual Extrapolation Methods for Monotone Inclusions Under Local Lipschitz Continuity. Math. Oper. Res. Zhaosong Lu, Sanyou Mei
2025	J	`jnl`	Solving bilevel optimization via sequential minimax optimization. CoRR Zhaosong Lu, Sanyou Mei
2024	J	`jnl`	A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. Comput. Optim. Appl. Chuan He, Heng Huang, Zhaosong Lu
2024	J	`jnl`	Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery. Adv. Comput. Math. Hong Zhu, Xiaoxia Liu, Lin Huang, Zhaosong Lu, Jian Lu, Michael K. Ng
2024	J	`jnl`	Exactly Uncorrelated Sparse Principal Component Analysis. J. Comput. Graph. Stat. Oh-Ran Kwon, Zhaosong Lu, Hui Zou
2024	J	`jnl`	First-Order Penalty Methods for Bilevel Optimization. SIAM J. Optim. Zhaosong Lu, Sanyou Mei
2024	A*	`conf`	Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions. NeurIPS Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang
2024	J	`jnl`	Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions. CoRR Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang
2024	J	`jnl`	Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees. CoRR Zhaosong Lu, Sanyou Mei, Yifeng Xiao
2023	J	`jnl`	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. Chuan He, Zhaosong Lu, Ting Kei Pong
2023	J	`jnl`	A Newton-CG Based Barrier Method for Finding a Second-Order Stationary Point of Nonconvex Conic Optimization with Complexity Guarantees. SIAM J. Optim. Chuan He, Zhaosong Lu
2023	J	`jnl`	A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees. CoRR Chuan He, Zhaosong Lu, Ting Kei Pong
2023	J	`jnl`	A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. CoRR Chuan He, Heng Huang, Zhaosong Lu
2023	J	`jnl`	A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition. J. Mach. Learn. Res. Masaru Ito, Zhaosong Lu, Chuan He
2023	J	`jnl`	A first-order augmented Lagrangian method for constrained minimax optimization. CoRR Zhaosong Lu, Sanyou Mei
2023	J	`jnl`	Accelerated First-Order Methods for Convex Optimization with Locally Lipschitz Continuous Gradient. SIAM J. Optim. Zhaosong Lu, Sanyou Mei
2023	J	`jnl`	Exact penalization for cardinality and rank-constrained optimization problems via partial regularization. Optim. Methods Softw. Zhaosong Lu, Xiaorui Li, Shuhuang Xiang
2023	J	`jnl`	FastPicker: Adaptive independent two-stage video-to-video summarization for efficient action recognition. Neurocomputing Saghir Alfasly, Jian Lu, Chen Xu, Zaid Al-Huda, Qingtang Jiang, Zhaosong Lu, Charles K. Chui
2023	J	`jnl`	First-order penalty methods for bilevel optimization. CoRR Zhaosong Lu, Sanyou Mei
2023	A*	`conf`	Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization. ICML Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu
2023	J	`jnl`	Iteration-Complexity of First-Order Augmented Lagrangian Methods for Convex Conic Programming. SIAM J. Optim. Zhaosong Lu, Zirui Zhou
2023	J	`jnl`	Newton-CG methods for nonconvex unconstrained optimization with Hölder continuous Hessian. CoRR Chuan He, Zhaosong Lu
2022	J	`jnl`	A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees. CoRR Chuan He, Zhaosong Lu
2022	J	`jnl`	Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient. CoRR Zhaosong Lu, Sanyou Mei
2022	J	`jnl`	Penalty and Augmented Lagrangian Methods for Constrained DC Programming. Math. Oper. Res. Zhaosong Lu, Zhe Sun, Zirui Zhou
2022	J	`jnl`	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 Zhaosong Lu, Sanyou Mei
2021	J	`jnl`	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. Peiran Yu, Ting Kei Pong, Zhaosong Lu
2019	J	`jnl`	Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization. Math. Program. Zhaosong Lu, Zirui Zhou, Zhe Sun
2019	J	`jnl`	Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming. SIAM J. Optim. Zhaosong Lu, Zirui Zhou
2018	J	`jnl`	Generalized Conjugate Gradient Methods for Math. Oper. Res. Zhaosong Lu, Xiaojun Chen
2018	J	`jnl`	Sparse Recovery via Partial Regularization: Models, Theory, and Algorithms. Math. Oper. Res. Zhaosong Lu, Xiaorui Li
2017	J	`jnl`	A Randomized Nonmonotone Block Proximal Gradient Method for a Class of Structured Nonlinear Programming. SIAM J. Numer. Anal. Zhaosong Lu, Lin Xiao
2017	J	`jnl`	An Augmented Lagrangian Method for Non-Lipschitz Nonconvex Programming. SIAM J. Numer. Anal. Xiaojun Chen, Lei Guo, Zhaosong Lu, Jane J. Ye
2017	J	`jnl`	Randomized Block Proximal Damped Newton Method for Composite Self-Concordant Minimization. SIAM J. Optim. Zhaosong Lu
2017	J	`jnl`	$\ell _p$ Regularized low-rank approximation via iterative reweighted singular value minimization. Comput. Optim. Appl. Zhaosong Lu, Yong Zhang, Jian Lu
2016	J	`jnl`	An efficient optimization approach for a cardinality-constrained index tracking problem. Optim. Methods Softw. Fengmin Xu, Zhaosong Lu, Zongben Xu
2016	J	`jnl`	Penalty Methods for a Class of Non-Lipschitz Optimization Problems. SIAM J. Optim. Xiaojun Chen, Zhaosong Lu, Ting Kei Pong
2016	J	`jnl`	Randomized block proximal damped Newton method for composite self-concordant minimization. CoRR Zhaosong Lu
2015	J	`jnl`	A Nonmonotone Projected Gradient Method for Optimization over Sparse Symmetric Sets. CoRR Zhaosong Lu
2015	J	`jnl`	A Proximal Gradient Method for Ensemble Density Functional Theory. SIAM J. Sci. Comput. Michael Ulbrich, Zaiwen Wen, Chao Yang, Dennis Klöckner, Zhaosong Lu
2015	J	`jnl`	An Accelerated Randomized Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization. SIAM J. Optim. Qihang Lin, Zhaosong Lu, Lin Xiao
2015	J	`jnl`	Fused Multiple Graphical Lasso. SIAM J. Optim. Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye
2015	J	`jnl`	Generalized Conjugate Gradient Methods for ℓ CoRR Zhaosong Lu, Xiaojun Chen
2015	J	`jnl`	On the complexity analysis of randomized block-coordinate descent methods. Math. Program. Zhaosong Lu, Lin Xiao
2015	J	`jnl`	Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion. SIAM J. Sci. Comput. Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye
2015	J	`jnl`	Penalty decomposition methods for rank minimization. Optim. Methods Softw. Zhaosong Lu, Yong Zhang, Xiaorui Li
2015	J	`jnl`	Sparse Recovery via Partial Regularization: Models, Theory and Algorithms. CoRR Zhaosong Lu, Xiaorui Li
2014	—	`conf`	An Accelerated Proximal Coordinate Gradient Method. NIPS Qihang Lin, Zhaosong Lu, Lin Xiao
2014	J	`jnl`	Iterative hard thresholding methods for l Math. Program. Zhaosong Lu
2014	J	`jnl`	Iterative reweighted minimization methods for l Math. Program. Zhaosong Lu
2014	J	`jnl`	Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion. CoRR Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye
2014	A*	`conf`	Rank-One Matrix Pursuit for Matrix Completion. ICML Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye
2013	J	`jnl`	A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems CoRR Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
2013	—	`conf`	A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. ICML (2) Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
2013	J	`jnl`	Assessing the Value of Dynamic Pricing in Network Revenue Management. INFORMS J. Comput. Dan Zhang, Zhaosong Lu
2013	J	`jnl`	Computing Optimal Experimental Designs via Interior Point Method. SIAM J. Matrix Anal. Appl. Zhaosong Lu, Ting Kei Pong
2013	A*	`conf`	FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye
2013	J	`jnl`	On the Complexity Analysis of Randomized Block-Coordinate Descent Methods CoRR Zhaosong Lu, Lin Xiao
2013	J	`jnl`	Primal-dual first-order methods for a class of cone programming. Optim. Methods Softw. Zhaosong Lu
2013	J	`jnl`	Randomized Block Coordinate Non-Monotone Gradient Method for a Class of Nonlinear Programming. CoRR Zhaosong Lu, Lin Xiao
2013	J	`jnl`	Sparse Approximation via Penalty Decomposition Methods. SIAM J. Optim. Zhaosong Lu, Yong Zhang
2013	J	`jnl`	ℓ Math. Comput. Yong Zhang, Bin Dong, Zhaosong Lu
2012	J	`jnl`	An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. Zhaosong Lu, Ting Kei Pong, Yong Zhang
2012	J	`jnl`	An augmented Lagrangian approach for sparse principal component analysis. Math. Program. Zhaosong Lu, Yong Zhang
2012	J	`jnl`	Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression. Math. Program. Zhaosong Lu, Renato D. C. Monteiro, Ming Yuan
2012	J	`jnl`	Iterative Hard Thresholding Methods for $l_0$ Regularized Convex Cone Programming CoRR Zhaosong Lu
2012	J	`jnl`	Iterative Reweighted Minimization Methods for $l_p$ Regularized Unconstrained Nonlinear Programming CoRR Zhaosong Lu
2012	J	`jnl`	Sparse Approximation via Penalty Decomposition Methods CoRR Zhaosong Lu, Yong Zhang
2011	J	`jnl`	A computational study on robust portfolio selection based on a joint ellipsoidal uncertainty set. Math. Program. Zhaosong Lu
2011	J	`jnl`	Minimizing Condition Number via Convex Programming. SIAM J. Matrix Anal. Appl. Zhaosong Lu, Ting Kei Pong
2011	—	`conf`	Penalty Decomposition Methods for Rank Minimization. NIPS Yong Zhang, Zhaosong Lu
2011	J	`jnl`	Primal-dual first-order methods with Math. Program. Guanghui Lan, Zhaosong Lu, Renato D. C. Monteiro
2011	J	`jnl`	Robust portfolio selection based on a joint ellipsoidal uncertainty set. Optim. Methods Softw. Zhaosong Lu
2011	J	`jnl`	ℓ CoRR Yong Zhang, Bin Dong, Zhaosong Lu
2010	J	`jnl`	Adaptive First-Order Methods for General Sparse Inverse Covariance Selection. SIAM J. Matrix Anal. Appl. Zhaosong Lu
2009	J	`jnl`	An Augmented Lagrangian Approach for Sparse Principal Component Analysis CoRR Zhaosong Lu, Yong Zhang
2009	J	`jnl`	An iterative solver-based long-step infeasible primal-dual path-following algorithm for convex QP based on a class of preconditioners. Optim. Methods Softw. Zhaosong Lu, Renato D. C. Monteiro, Jerome W. O'Neal
2009	J	`jnl`	Smooth Optimization Approach for Sparse Covariance Selection. SIAM J. Optim. Zhaosong Lu
2007	J	`jnl`	A modified nearly exact method for solving low-rank trust region subproblem. Math. Program. Zhaosong Lu, Renato D. C. Monteiro
2007	J	`jnl`	Large-scale semidefinite programming via a saddle point Mirror-Prox algorithm. Math. Program. Zhaosong Lu, Arkadi Nemirovski, Renato D. C. Monteiro
2007	J	`jnl`	Limiting behavior of the Alizadeh-Haeberly-Overton weighted paths in semidefinite programming. Optim. Methods Softw. Zhaosong Lu, Renato D. C. Monteiro
2006	J	`jnl`	An Iterative Solver-Based Infeasible Primal-Dual Path-Following Algorithm for Convex Quadratic Programming. SIAM J. Optim. Zhaosong Lu, Renato D. C. Monteiro, Jerome W. O'Neal
2005	J	`jnl`	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. Zhaosong Lu, Renato D. C. Monteiro
2005	—	`—`	Algorithm Design and Analysis for Large-Scale Semidefinite Programming and Nonlinear Programming. Zhaosong Lu
2005	J	`jnl`	Error Bounds and Limiting Behavior of Weighted Paths Associated with the SDP Map X1/2SX1/2. SIAM J. Optim. Zhaosong Lu, Renato D. C. Monteiro
2004	J	`jnl`	Optimal Solutions for the Closest-String Problem via Integer Programming. INFORMS J. Comput. Cláudio Nogueira de Meneses, Zhaosong Lu, Carlos A. S. Oliveira, Panos M. Pardalos