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ORCIDGuoyin Li 0001
Person information
- affiliation: University of New South Wales, Department of Applied Mathematics, Australia
Other persons with the same name
- Guoyin Li 0002
![[0000-0002-9273-7864]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9273-7864")
— CRRC SRI CHONGQING S&T Co., Ltd., Chongqing, China - Guoyin Li 0003 — Zhoukou Normal University, College of Life Science and Agronomy, China (and 1 more)
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Journal Articles
- 2024
[j82]Leyang Zhao, Guoyin Li, Spiridon I. Penev:
Regularized distributionally robust optimization with application to the index tracking problem. Ann. Oper. Res. 337(1): 397-424 (2024)- [j81]Queenie Yingkun Huang, V. Jeyakumar, Guoyin Li:
Piecewise SOS-convex moment optimization and applications via exact semi-definite programs. EURO J. Comput. Optim. 12: 100094 (2024) - [j80]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li:
The Stability of Robustness for Conic Linear Programs with Uncertain Data. J. Optim. Theory Appl. 203(2): 1509-1530 (2024) - [j79]Liaoyuan Zeng, Yongle Zhang, Guoyin Li, Ting Kei Pong, Xiaozhou Wang:
Frank-Wolfe-type methods for a class of nonconvex inequality-constrained problems. Math. Program. 208(1): 717-761 (2024) - 2023
- [j78]Yongle Zhang, Guoyin Li, Ting Kei Pong, Shiqi Xu:
Retraction-based first-order feasible methods for difference-of-convex programs with smooth inequality and simple geometric constraints. Adv. Comput. Math. 49(1): 8 (2023) - [j77]Tan Nhat Pham, Minh N. Dao, Rakibuzzaman Shah, Nargiz Sultanova, Guoyin Li, Syed Mofizul Islam:
A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems. Numer. Algorithms 94(4): 1763-1795 (2023) - [j76]Radu Ioan Bot, Minh N. Dao, Guoyin Li:
Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems. SIAM J. Optim. 33(2): 361-393 (2023) - 2022
- [j75]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li, José Vicente-Pérez:
The radius of robust feasibility of uncertain mathematical programs: A Survey and recent developments. Eur. J. Oper. Res. 296(3): 749-763 (2022) - [j74]Peiran Yu, Guoyin Li, Ting Kei Pong:
Kurdyka-Łojasiewicz Exponent via Inf-projection. Found. Comput. Math. 22(4): 1171-1217 (2022) - [j73]Daniel Woolnough, Niroshan Jeyakumar, Guoyin Li, Clement T. Loy, Vaithilingam Jeyakumar:
Robust Optimization and Data Classification for Characterization of Huntington Disease Onset via Duality Methods. J. Optim. Theory Appl. 193(1): 649-675 (2022) - [j72]José Yunier Bello Cruz, Guoyin Li, Tran T. A. Nghia:
Quadratic Growth Conditions and Uniqueness of Optimal Solution to Lasso. J. Optim. Theory Appl. 194(1): 167-190 (2022) - [j71]Radu Ioan Bot, Minh N. Dao, Guoyin Li:
Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs. Math. Oper. Res. 47(3): 2415-2443 (2022) - 2021
- [j70]Sheng-Long Hu, Guoyin Li:
B-subdifferentials of the projection onto the matrix simplex. Comput. Optim. Appl. 80(3): 915-941 (2021) - [j69]V. Jeyakumar, Guoyin Li, Daniel Woolnough:
Quadratically adjustable robust linear optimization with inexact data via generalized S-lemma: Exact second-order cone program reformulations. EURO J. Comput. Optim. 9: 100019 (2021) - [j68]Thai Doan Chuong, V. Jeyakumar, Guoyin Li, Daniel Woolnough:
Exact SDP reformulations of adjustable robust linear programs with box uncertainties under separable quadratic decision rules via SOS representations of non-negativity. J. Glob. Optim. 81(4): 1095-1117 (2021) - [j67]José Yunier Bello Cruz, Guoyin Li, Tran T. A. Nghia:
On the Linear Convergence of Forward-Backward Splitting Method: Part I - Convergence Analysis. J. Optim. Theory Appl. 188(2): 378-401 (2021) - [j66]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li:
Calculating Radius of Robust Feasibility of Uncertain Linear Conic Programs via Semi-definite Programs. J. Optim. Theory Appl. 189(2): 597-622 (2021) - [j65]Daniel Woolnough, Vaithilingam Jeyakumar, Guoyin Li:
Exact conic programming reformulations of two-stage adjustable robust linear programs with new quadratic decision rules. Optim. Lett. 15(1): 25-44 (2021) - 2020
- [j64]N. H. Chieu, V. Jeyakumar, Guoyin Li:
Convexifiability of continuous and discrete nonnegative quadratic programs for gap-free duality. Eur. J. Oper. Res. 280(2): 441-452 (2020) - 2019
- [j63]Thai Doan Chuong, V. Jeyakumar, Guoyin Li:
A new bounded degree hierarchy with SOCP relaxations for global polynomial optimization and conic convex semi-algebraic programs. J. Glob. Optim. 75(4): 885-919 (2019) - [j62]N. H. Chieu, Thai Doan Chuong, V. Jeyakumar, Guoyin Li:
A copositive Farkas lemma and minimally exact conic relaxations for robust quadratic optimization with binary and quadratic constraints. Oper. Res. Lett. 47(6): 530-536 (2019) - 2018
- [j61]N. H. Chieu, Vaithilingam Jeyakumar, Guoyin Li, Hossein Mohebi:
Constraint qualifications for convex optimization without convexity of constraints : New connections and applications to best approximation. Eur. J. Oper. Res. 265(1): 19-25 (2018) - [j60]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li, José Vicente-Pérez:
Guaranteeing highly robust weakly efficient solutions for uncertain multi-objective convex programs. Eur. J. Oper. Res. 270(1): 40-50 (2018) - [j59]Guoyin Li, Ting Kei Pong:
Calculus of the Exponent of Kurdyka-Łojasiewicz Inequality and Its Applications to Linear Convergence of First-Order Methods. Found. Comput. Math. 18(5): 1199-1232 (2018) - [j58]Immanuel M. Bomze, Vaithilingam Jeyakumar, Guoyin Li:
Extended trust-region problems with one or two balls: exact copositive and Lagrangian relaxations. J. Glob. Optim. 71(3): 551-569 (2018) - [j57]Guoyin Li, Boris S. Mordukhovich, Tran T. A. Nghia, T. S. Pham:
Error bounds for parametric polynomial systems with applications to higher-order stability analysis and convergence rates. Math. Program. 168(1-2): 313-346 (2018) - [j56]Haibin Chen, Yannan Chen, Guoyin Li, Liqun Qi:
A semidefinite program approach for computing the maximum eigenvalue of a class of structured tensors and its applications in hypergraphs and copositivity test. Numer. Linear Algebra Appl. 25(1) (2018) - [j55]Sheng-Long Hu, Guoyin Li:
Convergence rate analysis for the higher order power method in best rank one approximations of tensors. Numerische Mathematik 140(4): 993-1031 (2018) - [j54]Vaithilingam Jeyakumar, Guoyin Li:
Exact Second-Order Cone Programming Relaxations for Some Nonconvex Minimax Quadratic Optimization Problems. SIAM J. Optim. 28(1): 760-787 (2018) - 2017
- [j53]Guoyin Li, Tianxiang Liu, Ting Kei Pong:
Peaceman-Rachford splitting for a class of nonconvex optimization problems. Comput. Optim. Appl. 68(2): 407-436 (2017) - [j52]Vaithilingam Jeyakumar, Guoyin Li:
Exact Conic Programming Relaxations for a Class of Convex Polynomial Cone Programs. J. Optim. Theory Appl. 172(1): 156-178 (2017) - [j51]Dmitriy Drusvyatskiy, Guoyin Li, Henry Wolkowicz:
A note on alternating projections for ill-posed semidefinite feasibility problems. Math. Program. 162(1-2): 537-548 (2017) - [j50]N. H. Chieu, Vaithilingam Jeyakumar, Guoyin Li:
A convergent hierarchy of SDP relaxations for a class of hard robust global polynomial optimization problems. Oper. Res. Lett. 45(4): 325-333 (2017) - [j49]Jonathan M. Borwein, Guoyin Li, Matthew K. Tam:
Convergence Rate Analysis for Averaged Fixed Point Iterations in Common Fixed Point Problems. SIAM J. Optim. 27(1): 1-33 (2017) - 2016
- [j48]Haibin Chen, Guoyin Li, Liqun Qi:
Further results on Cauchy tensors and Hankel tensors. Appl. Math. Comput. 275: 50-62 (2016) - [j47]Vaithilingam Jeyakumar, S. Kim, Gue Myung Lee, Guoyin Li:
Semidefinite programming relaxation methods for global optimization problems with sparse polynomials and unbounded semialgebraic feasible sets. J. Glob. Optim. 65(2): 175-190 (2016) - [j46]Sheng-Long Hu, Guoyin Li, Liqun Qi:
A Tensor Analogy of Yuan's Theorem of the Alternative and Polynomial Optimization with Sign structure. J. Optim. Theory Appl. 168(2): 446-474 (2016) - [j45]Guoyin Li, Ting Kei Pong:
Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems. Math. Program. 159(1-2): 371-401 (2016) - [j44]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li, Linh Nguyen:
Radius of robust feasibility formulas for classes of convex programs with uncertain polynomial constraints. Oper. Res. Lett. 44(1): 67-73 (2016) - [j43]Vaithilingam Jeyakumar, Jean B. Lasserre, Guoyin Li, T. S. Pham:
Convergent Semidefinite Programming Relaxations for Global Bilevel Polynomial Optimization Problems. SIAM J. Optim. 26(1): 753-780 (2016) - 2015
- [j42]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li, José Vicente-Pérez:
Robust solutions to multi-objective linear programs with uncertain data. Eur. J. Oper. Res. 242(3): 730-743 (2015) - [j41]Vaithilingam Jeyakumar, Gue Myung Lee, Guoyin Li:
Characterizing Robust Solution Sets of Convex Programs under Data Uncertainty. J. Optim. Theory Appl. 164(2): 407-435 (2015) - [j40]Guoyin Li, Boris S. Mordukhovich, T. S. Pham:
New fractional error bounds for polynomial systems with applications to Hölderian stability in optimization and spectral theory of tensors. Math. Program. 153(2): 333-362 (2015) - [j39]Vaithilingam Jeyakumar, Guoyin Li, José Vicente-Pérez:
Robust SOS-convex polynomial optimization problems: exact SDP relaxations. Optim. Lett. 9(1): 1-18 (2015) - [j38]Vaithilingam Jeyakumar, Guoyin Li:
A bilevel Farkas lemma to characterizing global solutions of a class of bilevel polynomial programs. Oper. Res. Lett. 43(4): 405-410 (2015) - [j37]Guoyin Li, Ting Kei Pong:
Global Convergence of Splitting Methods for Nonconvex Composite Optimization. SIAM J. Optim. 25(4): 2434-2460 (2015) - 2014
- [j36]Guoyin Li, Alfred Ka Chun Ma, Ting Kei Pong:
Robust least square semidefinite programming with applications. Comput. Optim. Appl. 58(2): 347-379 (2014) - [j35]Gonglin Yuan, Zengxin Wei, Guoyin Li:
A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs. J. Comput. Appl. Math. 255: 86-96 (2014) - [j34]Vaithilingam Jeyakumar, Guoyin Li, S. Srisatkunarajah:
Global optimality principles for polynomial optimization over box or bivalent constraints by separable polynomial approximations. J. Glob. Optim. 58(1): 31-50 (2014) - [j33]Vaithilingam Jeyakumar, Jean B. Lasserre, Guoyin Li:
On Polynomial Optimization Over Non-compact Semi-algebraic Sets. J. Optim. Theory Appl. 163(3): 707-718 (2014) - [j32]Vaithilingam Jeyakumar, Guoyin Li:
Trust-region problems with linear inequality constraints: exact SDP relaxation, global optimality and robust optimization. Math. Program. 147(1-2): 171-206 (2014) - [j31]Vaithilingam Jeyakumar, T. S. Pham, Guoyin Li:
Convergence of the Lasserre hierarchy of SDP relaxations for convex polynomial programs without compactness. Oper. Res. Lett. 42(1): 34-40 (2014) - [j30]Jonathan M. Borwein, Guoyin Li, Liangjin Yao:
Analysis of the Convergence Rate for the Cyclic Projection Algorithm Applied to Basic Semialgebraic Convex Sets. SIAM J. Optim. 24(1): 498-527 (2014) - [j29]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li, José Vicente-Pérez:
Robust Solutions of MultiObjective Linear Semi-Infinite Programs under Constraint Data Uncertainty. SIAM J. Optim. 24(3): 1402-1419 (2014) - 2013
- [j28]Vaithilingam Jeyakumar, Guoyin Li, S. Srisatkunarajah:
Strong duality for robust minimax fractional programming problems. Eur. J. Oper. Res. 228(2): 331-336 (2013) - [j27]Vaithilingam Jeyakumar, Guoyin Li:
Robust solutions of quadratic optimization over single quadratic constraint under interval uncertainty. J. Glob. Optim. 55(2): 209-226 (2013) - [j26]Sheng-Long Hu, Guoyin Li, Liqun Qi, Yisheng Song:
Finding the Maximum Eigenvalue of Essentially Nonnegative Symmetric Tensors via Sum of Squares Programming. J. Optim. Theory Appl. 158(3): 717-738 (2013) - [j25]Guoyin Li:
Global error bounds for piecewise convex polynomials. Math. Program. 137(1-2): 37-64 (2013) - [j24]Miguel A. Goberna, Vaithilingam Jeyakumar, Guoyin Li, Marco A. López:
Robust linear semi-infinite programming duality under uncertainty. Math. Program. 139(1-2): 185-203 (2013) - [j23]Guoyin Li, Liqun Qi, Gaohang Yu:
The Z-eigenvalues of a symmetric tensor and its application to spectral hypergraph theory. Numer. Linear Algebra Appl. 20(6): 1001-1029 (2013) - 2012
- [j22]Guoyin Li:
Global Quadratic Minimization over Bivalent Constraints: Necessary and Sufficient Global Optimality Condition. J. Optim. Theory Appl. 152(3): 710-726 (2012) - [j21]Vaithilingam Jeyakumar, Guoyin Li:
Exact SDP relaxations for classes of nonlinear semidefinite programming problems. Oper. Res. Lett. 40(6): 529-536 (2012) - [j20]Guoyin Li, Boris S. Mordukhovich:
Hölder Metric Subregularity with Applications to Proximal Point Method. SIAM J. Optim. 22(4): 1655-1684 (2012) - 2011
- [j19]Chun-Ming Tang, Jin-Bao Jian, Guoyin Li:
A working set SQCQP algorithm with simple nonmonotone penalty parameters. J. Comput. Appl. Math. 236(6): 1382-1398 (2011) - [j18]Vaithilingam Jeyakumar, Guoyin Li:
Regularized Lagrangian duality for linearly constrained quadratic optimization and trust-region problems. J. Glob. Optim. 49(1): 1-14 (2011) - [j17]Guoyin Li:
A Note on Nonconvex Minimax Theorem with Separable Homogeneous Polynomials. J. Optim. Theory Appl. 150(1): 194-203 (2011) - [j16]Vaithilingam Jeyakumar, Guoyin Li:
Robust Duality for Fractional Programming Problems with Constraint-Wise Data Uncertainty. J. Optim. Theory Appl. 151(2): 292-303 (2011) - [j15]Vaithilingam Jeyakumar, Guoyin Li:
Necessary global optimality conditions for nonlinear programming problems with polynomial constraints. Math. Program. 126(2): 393-399 (2011) - [j14]Vaithilingam Jeyakumar, Guoyin Li, Gue Myung Lee:
A robust von Neumann minimax theorem for zero-sum games under bounded payoff uncertainty. Oper. Res. Lett. 39(2): 109-114 (2011) - 2010
- [j13]Vaithilingam Jeyakumar, Guoyin Li:
New strong duality results for convex programs with separable constraints. Eur. J. Oper. Res. 207(3): 1203-1209 (2010) - [j12]Guoyin Li, Chun-Ming Tang, Zengxin Wei:
Error bound results for generalized D-gap functions of nonsmooth variational inequality problems. J. Comput. Appl. Math. 233(11): 2795-2806 (2010) - [j11]Vaithilingam Jeyakumar, Guoyin Li:
Characterizing robust set containments and solutions of uncertain linear programs without qualifications. Oper. Res. Lett. 38(3): 188-194 (2010) - [j10]Guoyin Li:
On the Asymptotically Well Behaved Functions and Global Error Bound for Convex Polynomials. SIAM J. Optim. 20(4): 1923-1943 (2010) - [j9]Vaithilingam Jeyakumar, Guoyin Li:
Strong Duality in Robust Convex Programming: Complete Characterizations. SIAM J. Optim. 20(6): 3384-3407 (2010) - 2009
- [j8]Vaithilingam Jeyakumar, Guoyin Li:
Farkas' lemma for separable sublinear inequalities without qualifications. Optim. Lett. 3(4): 537-545 (2009) - [j7]Guoyin Li, Kung Fu Ng:
Error Bounds of Generalized D-Gap Functions for Nonsmooth and Nonmonotone Variational Inequality Problems. SIAM J. Optim. 20(2): 667-690 (2009) - [j6]Vaithilingam Jeyakumar, Gue Myung Lee, Guoyin Li:
Alternative Theorems for Quadratic Inequality Systems and Global Quadratic Optimization. SIAM J. Optim. 20(2): 983-1001 (2009) - 2008
- [j5]Zeng Xin Wei, Guoyin Li, Liqun Qi:
Global convergence of the Polak-Ribière-Polyak conjugate gradient method with an Armijo-type inexact line search for nonconvex unconstrained optimization problems. Math. Comput. 77(264): 2173-2193 (2008) - [j4]Guoyin Li, Kung Fu Ng:
On Extension of Fenchel Duality and its Application. SIAM J. Optim. 19(3): 1489-1509 (2008) - 2007
- [j3]Chun-Ming Tang, Zengxin Wei, Guoyin Li:
A new version of the Liu-Storey conjugate gradient method. Appl. Math. Comput. 189(1): 302-313 (2007) - 2006
- [j2]Zengxin Wei, Guoyin Li, Liqun Qi:
New quasi-Newton methods for unconstrained optimization problems. Appl. Math. Comput. 175(2): 1156-1188 (2006) - [j1]Zengxin Wei, Guoyin Li, Liqun Qi:
New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems. Appl. Math. Comput. 179(2): 407-430 (2006)
Informal and Other Publications
- 2015
- [i2]Guoyin Li, Ting Kei Pong:
Peaceman-Rachford splitting for a class of nonconvex optimization problems. CoRR abs/1507.00887 (2015) - 2014
- [i1]Guoyin Li, Ting Kei Pong:
Splitting methods for nonconvex composite optimization. CoRR abs/1407.0753 (2014)
Coauthor Index
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