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2020 – today
- 2024
- [j119]Casey Garner, Gilad Lerman, Shuzhong Zhang:
Spectrally Constrained Optimization. J. Sci. Comput. 100(3): 89 (2024) - [j118]Daoli Zhu, Lei Zhao, Shuzhong Zhang:
A First-Order Primal-Dual Method for Nonconvex Constrained Optimization Based on the Augmented Lagrangian. Math. Oper. Res. 49(1): 125-150 (2024) - [j117]Nuozhou Wang, Shuzhong Zhang:
A Gradient Complexity Analysis for Minimizing the Sum of Strongly Convex Functions with Varying Condition Numbers. SIAM J. Optim. 34(2): 1374-1401 (2024) - [j116]Nuozhou Wang, Junyu Zhang, Shuzhong Zhang:
Efficient First Order Method for Saddle Point Problems with Higher Order Smoothness. SIAM J. Optim. 34(4): 3342-3370 (2024) - [j115]Wentao Ding, Jianze Li, Shuzhong Zhang:
Projectively and Weakly Simultaneously Diagonalizable Matrices and their Applications. SIAM J. Matrix Anal. Appl. 45(1): 167-202 (2024) - [i14]Wentao Ding, Jianze Li, Shuzhong Zhang:
Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds. CoRR abs/2404.19392 (2024) - 2023
- [j114]Casey Garner, Shuzhong Zhang:
Linearly-Convergent FISTA Variant for Composite Optimization with Duality. J. Sci. Comput. 94(3): 65 (2023) - [j113]Junyu Zhang, Mengdi Wang, Mingyi Hong, Shuzhong Zhang:
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems. SIAM J. Optim. 33(2): 1035-1060 (2023) - [j112]Ioannis C. Tsaknakis, Mingyi Hong, Shuzhong Zhang:
Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality. SIAM J. Optim. 33(4): 2675-2702 (2023) - [i13]Lei Zhao, Daoli Zhu, Shuzhong Zhang:
An Augmented Lagrangian Approach to Conically Constrained Non-monotone Variational Inequality Problems. CoRR abs/2306.01214 (2023) - [i12]Daoli Zhu, Lei Zhao, Shuzhong Zhang:
A Unified Analysis for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions. CoRR abs/2308.16362 (2023) - 2022
- [j111]Junyu Zhang, Lin Xiao, Shuzhong Zhang:
Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization. INFORMS J. Optim. 4(1): 45-64 (2022) - [j110]Xi Chen, Bo Jiang, Tianyi Lin, Shuzhong Zhang:
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling. J. Mach. Learn. Res. 23: 90:1-90:38 (2022) - [j109]Kevin Huang, Junyu Zhang, Shuzhong Zhang:
Cubic Regularized Newton Method for the Saddle Point Models: A Global and Local Convergence Analysis. J. Sci. Comput. 91(2): 60 (2022) - [j108]Junyu Zhang, Mingyi Hong, Shuzhong Zhang:
On lower iteration complexity bounds for the convex concave saddle point problems. Math. Program. 194(1): 901-935 (2022) - [j107]Kevin Huang, Shuzhong Zhang:
New First-Order Algorithms for Stochastic Variational Inequalities. SIAM J. Optim. 32(4): 2745-2772 (2022) - [i11]Wentao Ding, Jianze Li, Shuzhong Zhang:
Projectively and weakly simultaneously diagonalizable matrices and their applications. CoRR abs/2205.13245 (2022) - [i10]Casey Garner, Gilad Lerman, Shuzhong Zhang:
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness. CoRR abs/2209.01229 (2022) - 2021
- [j106]Bo Jiang, Haoyue Wang, Shuzhong Zhang:
An Optimal High-Order Tensor Method for Convex Optimization. Math. Oper. Res. 46(4): 1390-1412 (2021) - [j105]Tianyi Lin, Shiqian Ma, Yinyu Ye, Shuzhong Zhang:
An ADMM-based interior-point method for large-scale linear programming. Optim. Methods Softw. 36(2-3): 389-424 (2021) - [j104]Derek Singh, Shuzhong Zhang:
Robust Arbitrage Conditions for Financial Markets. Oper. Res. Forum 2(3) (2021) - [j103]Derek Singh, Shuzhong Zhang:
Correction to: Robust Arbitrage Conditions for Financial Markets. Oper. Res. Forum 2(3) (2021) - [j102]Derek Singh, Shuzhong Zhang:
Distributionally robust profit opportunities. Oper. Res. Lett. 49(1): 121-128 (2021) - [c12]Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang:
Generalization Bounds for Stochastic Saddle Point Problems. AISTATS 2021: 568-576 - 2020
- [j101]Junyu Zhang, Shiqian Ma, Shuzhong Zhang:
Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis. Math. Program. 184(1): 445-490 (2020) - [j100]Bo Jiang, Tianyi Lin, Shuzhong Zhang:
A Unified Adaptive Tensor Approximation Scheme to Accelerate Composite Convex Optimization. SIAM J. Optim. 30(4): 2897-2926 (2020) - [i9]Wenye Li, Shuzhong Zhang:
Binary Random Projections with Controllable Sparsity Patterns. CoRR abs/2006.16180 (2020)
2010 – 2019
- 2019
- [j99]Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis. Comput. Optim. Appl. 72(1): 115-157 (2019) - [j98]Cheng Lu, Ya-Feng Liu, Wei-Qiang Zhang, Shuzhong Zhang:
Tightness of a New and Enhanced Semidefinite Relaxation for MIMO Detection. SIAM J. Optim. 29(1): 719-742 (2019) - [c11]Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford:
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. COLT 2019: 1392-1393 - [c10]Bo Jiang, Haoyue Wang, Shuzhong Zhang:
An Optimal High-Order Tensor Method for Convex Optimization. COLT 2019: 1799-1801 - [i8]Jianze Li, Shuzhong Zhang:
Polar decomposition based algorithms on the product of Stiefel manifolds with applications in tensor approximation. CoRR abs/1912.10390 (2019) - 2018
- [j97]Yangyang Xu, Shuzhong Zhang:
Accelerated primal-dual proximal block coordinate updating methods for constrained convex optimization. Comput. Optim. Appl. 70(1): 91-128 (2018) - [j96]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. J. Sci. Comput. 76(1): 69-88 (2018) - [j95]Xiang Gao, Bo Jiang, Shuzhong Zhang:
On the Information-Adaptive Variants of the ADMM: An Iteration Complexity Perspective. J. Sci. Comput. 76(1): 327-363 (2018) - [j94]Bo Jiang, Shiqian Ma, Shuzhong Zhang:
Low-M-Rank Tensor Completion and Robust Tensor PCA. IEEE J. Sel. Top. Signal Process. 12(6): 1390-1404 (2018) - [j93]Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang:
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. SIAM J. Sci. Comput. 40(5): A3091-A3120 (2018) - [c9]Xiand Gao, Xiaobo Li, Shuzhong Zhang:
Online Learning with Non-Convex Losses and Non-Stationary Regret. AISTATS 2018: 235-243 - [i7]Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang:
Highly accurate model for prediction of lung nodule malignancy with CT scans. CoRR abs/1802.01756 (2018) - 2017
- [j92]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
An Extragradient-Based Alternating Direction Method for Convex Minimization. Found. Comput. Math. 17(1): 35-59 (2017) - [j91]Bo Jiang, Zhening Li, Shuzhong Zhang:
On Cones of Nonnegative Quartic Forms. Found. Comput. Math. 17(1): 161-197 (2017) - [j90]Bo Jiang, Fan Yang, Shuzhong Zhang:
Tensor and its tucker core: The invariance relationships. Numer. Linear Algebra Appl. 24(3) (2017) - [j89]Bilian Chen, Simai He, Zhening Li, Shuzhong Zhang:
On New Classes of Nonnegative Symmetric Tensors. SIAM J. Optim. 27(1): 292-318 (2017) - [i6]Yangyang Xu, Shuzhong Zhang:
Accelerated Primal-Dual Proximal Block Coordinate Updating Methods for Constrained Convex Optimization. CoRR abs/1702.05423 (2017) - [i5]Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang:
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. CoRR abs/1708.01072 (2017) - [i4]Cheng Lu, Ya-Feng Liu, Wei-Qiang Zhang, Shuzhong Zhang:
Tightness of a new and enhanced semidefinite relaxation for MIMO detection. CoRR abs/1710.02048 (2017) - 2016
- [j88]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity. J. Sci. Comput. 69(1): 52-81 (2016) - [j87]Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang:
A smoothing SQP framework for a class of composite Lq minimization over polyhedron. Math. Program. 158(1-2): 467-500 (2016) - [j86]Shaozhe Tao, Daniel Boley, Shuzhong Zhang:
Local Linear Convergence of ISTA and FISTA on the LASSO Problem. SIAM J. Optim. 26(1): 313-336 (2016) - [j85]Bo Jiang, Zhening Li, Shuzhong Zhang:
Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations. SIAM J. Matrix Anal. Appl. 37(1): 381-408 (2016) - [p2]Shiqian Ma, Bo Jiang, Xiuzhen Huang, Shuzhong Zhang:
Tensor models: solution methods and applications. Big Data over Networks 2016: 3-36 - [i3]Bo Jiang, Fan Yang, Shuzhong Zhang:
Tensor and Its Tucker Core: the Invariance Relationships. CoRR abs/1601.01469 (2016) - [i2]Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis. CoRR abs/1605.02408 (2016) - 2015
- [j84]Xiuzhen Huang, Steven F. Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole L. Cramer, Weihua Guan, Uwe Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure, Donald F. McMullen, Bindu Nanduri, Andy D. Perkins, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Karl Walker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Yu Zhang, Zhongming Zhao, Jason H. Moore:
Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. BioData Min. 8: 7 (2015) - [j83]Bilian Chen, Zhening Li, Shuzhong Zhang:
On optimal low rank Tucker approximation for tensors: the case for an adjustable core size. J. Glob. Optim. 62(4): 811-832 (2015) - [j82]Simai He, Zhening Li, Shuzhong Zhang:
Inhomogeneous polynomial optimization over a convex set: An approximation approach. Math. Comput. 84(292): 715-741 (2015) - [j81]Bo Jiang, Shiqian Ma, Shuzhong Zhang:
Tensor principal component analysis via convex optimization. Math. Program. 150(2): 423-457 (2015) - [j80]Zhening Li, André Uschmajew, Shuzhong Zhang:
On Convergence of the Maximum Block Improvement Method. SIAM J. Optim. 25(1): 210-233 (2015) - [j79]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
On the Global Linear Convergence of the ADMM with MultiBlock Variables. SIAM J. Optim. 25(3): 1478-1497 (2015) - [c8]Shaozhe Tao, Daniel Boley, Shuzhong Zhang:
Convergence of Common Proximal Methods for L1-Regularized Least Squares. IJCAI 2015: 3849-3855 - [i1]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. CoRR abs/1505.04252 (2015) - 2014
- [j78]Bo Jiang, Zhening Li, Shuzhong Zhang:
Approximation methods for complex polynomial optimization. Comput. Optim. Appl. 59(1-2): 219-248 (2014) - [j77]Man Hong Wong, Shuzhong Zhang:
On distributional robust probability functions and their computations. Eur. J. Oper. Res. 233(1): 23-33 (2014) - [j76]Bo Jiang, Simai He, Zhening Li, Shuzhong Zhang:
Moments Tensors, Hilbert's Identity, and k-wise Uncorrelated Random Variables. Math. Oper. Res. 39(3): 775-788 (2014) - [j75]Simai He, Bo Jiang, Zhening Li, Shuzhong Zhang:
Probability Bounds for Polynomial Functions in Random Variables. Math. Oper. Res. 39(3): 889-907 (2014) - [j74]S. Ilker Birbil, J. B. G. Frenk, Joaquim A. S. Gromicho, Shuzhong Zhang:
A Network Airline Revenue Management Framework Based on Decomposition by Origins and Destinations. Transp. Sci. 48(3): 313-333 (2014) - 2013
- [j73]Xiuzhen Huang, Barry Bruce, Alison Buchan, Clare Bates Congdon, Carole L. Cramer, Steven F. Jennings, Hongmei Jiang, Zenglu Li, Gail McClure, Rick McMullen, Jason H. Moore, Bindu Nanduri, Joan Peckham, Andy D. Perkins, Shawn W. Polson, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Zhongming Zhao:
No-boundary thinking in bioinformatics research. BioData Min. 6: 19 (2013) - [j72]Xiaoling Sun, Duan Li, Shuzhong Zhang:
Preface: Special issue of Journal of Global Optimization for the 8th international conference on optimization: techniques and applications. J. Glob. Optim. 56(4): 1295-1296 (2013) - [j71]Simai He, Xiaoguo Wang, Shuzhong Zhang:
On a generalized Cournot oligopolistic competition game. J. Glob. Optim. 56(4): 1335-1345 (2013) - [j70]Xin Chen, Jiming Peng, Shuzhong Zhang:
Sparse solutions to random standard quadratic optimization problems. Math. Program. 141(1-2): 273-293 (2013) - [j69]Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang:
Lorentz-Positive Maps and Quadratic Matrix Inequalities With Applications to Robust MISO Transmit Beamforming. IEEE Trans. Signal Process. 61(5): 1121-1130 (2013) - [j68]Augusto Aubry, Antonio De Maio, Bo Jiang, Shuzhong Zhang:
Ambiguity Function Shaping for Cognitive Radar Via Complex Quartic Optimization. IEEE Trans. Signal Process. 61(22): 5603-5619 (2013) - 2012
- [j67]Simai He, Jiawei Zhang, Shuzhong Zhang:
Polymatroid Optimization, Submodularity, and Joint Replenishment Games. Oper. Res. 60(1): 128-137 (2012) - [j66]Bilian Chen, Simai He, Zhening Li, Shuzhong Zhang:
Maximum Block Improvement and Polynomial Optimization. SIAM J. Optim. 22(1): 87-107 (2012) - [j65]Yongwei Huang, Qiang Li, Wing-Kin Ma, Shuzhong Zhang:
Robust Multicast Beamforming for Spectrum Sharing-Based Cognitive Radios. IEEE Trans. Signal Process. 60(1): 527-533 (2012) - [c7]Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang:
Lorentz-positive mapswith applications to robust MISO downlink beamforming. ICASSP 2012: 2801-2804 - [c6]Augusto Aubry, Antonio De Maio, Bo Jiang, Shuzhong Zhang:
A cognitive approach for ambiguity function shaping. SAM 2012: 41-44 - [c5]Shuzhong Zhang, Kun Wang, Cody Ashby, Bilian Chen, Xiuzhen Huang:
A Unified Adaptive Co-identification Framework for High-D Expression Data. PRIB 2012: 59-70 - 2011
- [j64]Li Chen, Simai He, Shuzhong Zhang:
Tight Bounds for Some Risk Measures, with Applications to Robust Portfolio Selection. Oper. Res. 59(4): 847-865 (2011) - [j63]Wenbao Ai, Yongwei Huang, Shuzhong Zhang:
New results on Hermitian matrix rank-one decomposition. Math. Program. 128(1-2): 253-283 (2011) - [j62]Antonio De Maio, Yongwei Huang, Daniel Pérez Palomar, Shuzhong Zhang, Alfonso Farina:
Fractional QCQP With Applications in ML Steering Direction Estimation for Radar Detection. IEEE Trans. Signal Process. 59(1): 172-185 (2011) - [j61]Antonio De Maio, Yongwei Huang, Marco Piezzo, Shuzhong Zhang, Alfonso Farina:
Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint. IEEE Trans. Signal Process. 59(6): 2683-2697 (2011) - [j60]Antonio De Maio, Yongwei Huang, Marco Piezzo, Shuzhong Zhang, Alfonso Farina:
Design of Radar Receive Filters Optimized According to Lp-Norm Based Criteria. IEEE Trans. Signal Process. 59(8): 4023-4029 (2011) - [c4]Antonio De Maio, Yongwei Huang, Marco Piezzo, Shuzhong Zhang, Alfonso Farina:
Radar code design with a Peak to average power Ratio constraint: A randomized approximate approach. EUSIPCO 2011: 436-440 - [c3]Yongwei Huang, Qiang Li, Wing-Kin Ma, Shuzhong Zhang:
Robust secondary multicast transmit beamforming for cognitive radio networks under imperfect channel state information. ICASSP 2011: 2816-2819 - [c2]Shuzhong Zhang, Kun Wang, Bilian Chen, Xiuzhen Huang:
A New Framework for Co-clustering of Gene Expression Data. PRIB 2011: 1-12 - 2010
- [j59]Simai He, Jiawei Zhang, Shuzhong Zhang:
Bounding Probability of Small Deviation: A Fourth Moment Approach. Math. Oper. Res. 35(1): 208-232 (2010) - [j58]Simai He, Zhening Li, Shuzhong Zhang:
Approximation algorithms for homogeneous polynomial optimization with quadratic constraints. Math. Program. 125(2): 353-383 (2010) - [j57]Zhi-Quan Luo, Shuzhong Zhang:
A Semidefinite Relaxation Scheme for Multivariate Quartic Polynomial Optimization with Quadratic Constraints. SIAM J. Optim. 20(4): 1716-1736 (2010) - [j56]Zhi-Quan Luo, Wing-Kin Ma, Anthony Man-Cho So, Yinyu Ye, Shuzhong Zhang:
Semidefinite Relaxation of Quadratic Optimization Problems. IEEE Signal Process. Mag. 27(3): 20-34 (2010) - [j55]Antonio De Maio, Silvio De Nicola, Yongwei Huang, Daniel Pérez Palomar, Shuzhong Zhang, Alfonso Farina:
Code design for radar STAP via optimization theory. IEEE Trans. Signal Process. 58(2): 679-694 (2010) - [p1]Yongwei Huang, Antonio De Maio, Shuzhong Zhang:
Semidefinite programming, matrix decomposition, and radar code design. Convex Optimization in Signal Processing and Communications 2010: 192-228
2000 – 2009
- 2009
- [j54]S. Ilker Birbil, J. B. G. Frenk, Joaquim A. S. Gromicho, Shuzhong Zhang:
The Role of Robust Optimization in Single-Leg Airline Revenue Management. Manag. Sci. 55(1): 148-163 (2009) - [j53]Xiaoqing Wang, Shuzhong Zhang, David D. Yao:
Separated Continuous Conic Programming: Strong Duality and an Approximation Algorithm. SIAM J. Control. Optim. 48(4): 2118-2138 (2009) - [j52]Wenbao Ai, Shuzhong Zhang:
Strong Duality for the CDT Subproblem: A Necessary and Sufficient Condition. SIAM J. Optim. 19(4): 1735-1756 (2009) - [j51]Antonio De Maio, Silvio De Nicola, Yongwei Huang, Shuzhong Zhang, Alfonso Farina:
Adaptive Detection and Estimation in the Presence of Useful Signal and Interference Mismatches. IEEE Trans. Signal Process. 57(2): 436-450 (2009) - [j50]Antonio De Maio, Silvio De Nicola, Yongwei Huang, Zhi-Quan Luo, Shuzhong Zhang:
Design of Phase Codes for Radar Performance Optimization With a Similarity Constraint. IEEE Trans. Signal Process. 57(2): 610-621 (2009) - [j49]Zhi-Quan Luo, Shuzhong Zhang:
Duality gap estimation and polynomial time approximation for optimal spectrum management. IEEE Trans. Signal Process. 57(7): 2675-2689 (2009) - 2008
- [j48]Ruijun Shen, Shuzhong Zhang:
Robust portfolio selection based on a multi-stage scenario tree. Eur. J. Oper. Res. 191(3): 864-887 (2008) - [j47]Zhi-Quan Luo, Shuzhong Zhang:
Dynamic Spectrum Management: Complexity and Duality. IEEE J. Sel. Top. Signal Process. 2(1): 57-73 (2008) - [j46]Wenbao Ai, Yongwei Huang, Shuzhong Zhang:
On the Low Rank Solutions for Linear Matrix Inequalities. Math. Oper. Res. 33(4): 965-975 (2008) - [j45]Jan Brinkhuis, Shuzhong Zhang:
A D{\mathsf{D}}-induced duality and its applications. Math. Program. 114(1): 149-182 (2008) - [j44]Dachuan Xu, Shuzhong Zhang:
Approximation algorithm for facility location with service installation costs. Oper. Res. Lett. 36(1): 46-50 (2008) - [j43]Simai He, Zhi-Quan Luo, Jiawang Nie, Shuzhong Zhang:
Semidefinite Relaxation Bounds for Indefinite Homogeneous Quadratic Optimization. SIAM J. Optim. 19(2): 503-523 (2008) - [j42]Antonio De Maio, Silvio De Nicola, Yongwei Huang, Shuzhong Zhang, Alfonso Farina:
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints. IEEE Trans. Signal Process. 56(11): 5618-5629 (2008) - [e1]Christos H. Papadimitriou, Shuzhong Zhang:
Internet and Network Economics, 4th International Workshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings. Lecture Notes in Computer Science 5385, Springer 2008, ISBN 978-3-540-92184-4 [contents] - 2007
- [j41]Yongwei Huang, Shuzhong Zhang:
Complex Matrix Decomposition and Quadratic Programming. Math. Oper. Res. 32(3): 758-768 (2007) - [j40]Erling S. Andersen, Etienne de Klerk, Levent Tunçel, Henry Wolkowicz, Shuzhong Zhang:
Foreword: Special issue on large-scale nonlinear and semidefinite programming. Math. Program. 109(2-3): 207-209 (2007) - [j39]Zhi-Quan Luo, Nicholas D. Sidiropoulos, Paul Tseng, Shuzhong Zhang:
Approximation Bounds for Quadratic Optimization with Homogeneous Quadratic Constraints. SIAM J. Optim. 18(1): 1-28 (2007) - 2006
- [j38]David D. Yao, Shuzhong Zhang, Xun Yu Zhou:
Tracking a Financial Benchmark Using a Few Assets. Oper. Res. 54(2): 232-246 (2006) - [j37]Johnny Tak Wai Cheng, Shuzhong Zhang:
On implementation of a self-dual embedding method for convex programming. Optim. Methods Softw. 21(1): 75-103 (2006) - [j36]Shuzhong Zhang, Yongwei Huang:
Complex Quadratic Optimization and Semidefinite Programming. SIAM J. Optim. 16(3): 871-890 (2006) - 2005
- [j35]Arjan Berkelaar, Joaquim A. S. Gromicho, Roy Kouwenberg, Shuzhong Zhang:
A Primal-Dual Decomposition Algorithm for Multistage Stochastic Convex Programming. Math. Program. 104(1): 153-177 (2005) - [j34]S. Ilker Birbil, Shu-Cherng Fang, J. B. G. Frenk, Shuzhong Zhang:
Recursive approximation of the high dimensional max function. Oper. Res. Lett. 33(5): 450-458 (2005) - [j33]Wenbao Ai, Shuzhong Zhang:
An O(\sqrtn L) Iteration Primal-dual Path-following Method, Based on Wide Neighborhoods and Large Updates, for Monotone LCP. SIAM J. Optim. 16(2): 400-417 (2005) - [c1]Zhi-Quan Luo, Georgios B. Giannakis, Shuzhong Zhang:
Optimal linear decentralized estimation in a bandwidth constrained sensor network. ISIT 2005: 1441-1445 - 2004
- [j32]Shuzhong Zhang:
A New Self-Dual Embedding Method for Convex Programming. J. Glob. Optim. 29(4): 479-496 (2004) - [j31]Zhi-Quan Luo, Jos F. Sturm, Shuzhong Zhang:
Multivariate Nonnegative Quadratic Mappings. SIAM J. Optim. 14(4): 1140-1162 (2004) - [j30]David D. Yao, Shuzhong Zhang, Xun Yu Zhou:
Stochastic Linear-Quadratic Control via Primal-Dual Semidefinite Programming. SIAM Rev. 46(1): 87-111 (2004) - 2003
- [j29]Jos F. Sturm, Shuzhong Zhang:
On Cones of Nonnegative Quadratic Functions. Math. Oper. Res. 28(2): 246-267 (2003) - [j28]Yinyu Ye, Shuzhong Zhang:
New Results on Quadratic Minimization. SIAM J. Optim. 14(1): 245-267 (2003) - 2002
- [j27]Arjan Berkelaar, Cees Dert, Bart Oldenkamp, Shuzhong Zhang:
A Primal-Dual Decomposition-Based Interior Point Approach to Two-Stage Stochastic Linear Programming. Oper. Res. 50(5): 904-915 (2002) - 2001
- [j26]Shuzhong Zhang:
On a Profit Maximizing Location Model. Ann. Oper. Res. 103(1-4): 251-260 (2001) - [j25]Jos F. Sturm, Shuzhong Zhang:
On sensitivity of central solutions in semidefinite programming. Math. Program. 90(2): 205-227 (2001) - [j24]David D. Yao, Shuzhong Zhang, Xun Yu Zhou:
Stochastic Linear-Quadratic Control via Semidefinite Programming. SIAM J. Control. Optim. 40(3): 801-823 (2001) - [j23]David D. Yao, Shuzhong Zhang, Xun Yu Zhou:
A primal-dual semi-definite programming approach to linear quadratic control. IEEE Trans. Autom. Control. 46(9): 1442-1447 (2001) - 2000
- [j22]Jos F. Sturm, Shuzhong Zhang:
On weighted centers for semidefinite programming. Eur. J. Oper. Res. 126(2): 391-407 (2000) - [j21]Shuzhong Zhang:
Quadratic maximization and semidefinite relaxation. Math. Program. 87(3): 453-465 (2000) - [j20]Shuzhong Zhang:
Global Error Bounds for Convex Conic Problems. SIAM J. Optim. 10(3): 836-851 (2000)
1990 – 1999
- 1999
- [j19]János Csirik, J. B. G. Frenk, Martine Labbé, Shuzhong Zhang:
Two Simple Algorithms for bin Covering. Acta Cybern. 14(1): 13-25 (1999) - [j18]Zhi-Quan Luo, Shuzhong Zhang:
On Extensions of the Frank-Wolfe Theorems. Comput. Optim. Appl. 13(1-3): 87-110 (1999) - [j17]Shuzhong Zhang:
New variants of finite criss-cross pivot algorithms for linear programming. Eur. J. Oper. Res. 116(3): 607-614 (1999) - 1998
- [j16]Jos F. Sturm, Shuzhong Zhang:
An interior point method, based on rank-1 updates, for linear programming. Math. Program. 81: 77-87 (1998) - [j15]Jack A. A. van der Veen, Gerhard J. Woeginger, Shuzhong Zhang:
Sequencing jobs that require common resources on a single machine: A solvable case of the TSP. Math. Program. 82: 235-254 (1998) - [j14]Jos F. Sturm, Shuzhong Zhang:
On the long-step path-following method for semidefinite programming. Oper. Res. Lett. 22(4-5): 145-150 (1998) - [j13]Zhi-Quan Luo, Jos F. Sturm, Shuzhong Zhang:
Superlinear Convergence of a Symmetric Primal-Dual Path Following Algorithm for Semidefinite Programming. SIAM J. Optim. 8(1): 59-81 (1998) - 1997
- [j12]Jos F. Sturm, Shuzhong Zhang:
On a Wide Region of Centers and Primal-Dual Interior Point Algorithms for Linear Programming. Math. Oper. Res. 22(2): 408-431 (1997) - 1996
- [j11]Jos F. Sturm, Shuzhong Zhang:
New complexity results for the Iri-Imai method. Ann. Oper. Res. 62(1): 539-564 (1996) - [j10]Jack A. A. van der Veen, Shuzhong Zhang:
Low-complexity algorithms for sequencing jobs with a fixed number of job-classes. Comput. Oper. Res. 23(11): 1059-1067 (1996) - [j9]Ana Isabel Barros, J. B. G. Frenk, Siegfried Schaible, Shuzhong Zhang:
Using duality to solve generalized fractional programming problems. J. Glob. Optim. 8(2): 139-170 (1996) - [j8]Ana Isabel Barros, J. B. G. Frenk, Siegfried Schaible, Shuzhong Zhang:
A new algorithm for generalized fractional programs. Math. Program. 72: 147-175 (1996) - [j7]Jos F. Sturm, Shuzhong Zhang:
An O(root(n)L) iteration bound primal-dual cone affine scaling algorithm for linear programming. Math. Program. 72: 177-194 (1996) - 1994
- [j6]Hans Frenk, Martine Labbé, Mario van Vliet, Shuzhong Zhang:
Improved Algorithms for Machine Allocation in Manufacturing Systems. Oper. Res. 42(3): 523-530 (1994) - [j5]J. B. G. Frenk, Joaquim A. S. Gromicho, Shuzhong Zhang:
A deep cut ellipsoid algorithm for convex programming: Theory and applications. Math. Program. 63: 83-108 (1994) - 1993
- [j4]Tamás Terlaky, Shuzhong Zhang:
Pivot rules for linear programming: A survey on recent theoretical developments. Ann. Oper. Res. 46-47(1): 203-233 (1993) - [j3]J. B. G. Frenk, Martine Labbé, Shuzhong Zhang:
A note on a stochastic location problem. Oper. Res. Lett. 13(4): 213-214 (1993) - 1991
- [j2]János Csirik, J. B. G. Frenk, Martine Labbé, Shuzhong Zhang:
Heuristic for the 0-1 Min-Knapsack Problem. Acta Cybern. 10(1-2): 15-20 (1991) - 1990
- [j1]János Csirik, J. B. G. Frenk, Martine Labbé, Shuzhong Zhang:
On the multidimensional vector bin packing. Acta Cybern. 9(4): 361-369 (1990)
Coauthor Index
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