Guoyin Li, Ph.D.
Affiliations: | 2007 | The Chinese University of Hong Kong, Hong Kong, Hong Kong |
Area:
MathematicsGoogle:
"Guoyin Li"Parents
Sign in to add mentor| Kung F. Ng | grad student | 2007 | Chinese University of Hong Kong | |
| (Some nonconvex geometric results in variational analysis and optimization.) | ||||
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Publications
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| Chieu NH, Jeyakumar V, Li G. (2020) Convexifiability of continuous and discrete nonnegative quadratic programs for gap-free duality European Journal of Operational Research. 280: 441-452 |
| Woolnough D, Jeyakumar V, Li G. (2020) Exact conic programming reformulations of two-stage adjustable robust linear programs with new quadratic decision rules Optimization Letters |
| Tang C, Jian J, Li G. (2019) A proximal-projection partial bundle method for convex constrained minimax problems Journal of Industrial and Management Optimization. 15: 757-774 |
| Feng J, Liu L, Wu D, et al. (2019) Dynamic reliability analysis using the extended support vector regression (X-SVR) Mechanical Systems and Signal Processing. 126: 368-391 |
| Chieu NH, Chuong TD, Jeyakumar V, et al. (2019) A copositive Farkas lemma and minimally exact conic relaxations for robust quadratic optimization with binary and quadratic constraints Operations Research Letters. 47: 530-536 |
| Chuong TD, Jeyakumar V, Li G. (2019) A new bounded degree hierarchy with SOCP relaxations for global polynomial optimization and conic convex semi-algebraic programs Journal of Global Optimization. 75: 885-919 |
| Jeyakumar V, Li G. (2018) Exact Second-Order Cone Programming Relaxations for Some Nonconvex Minimax Quadratic Optimization Problems Siam Journal On Optimization. 28: 760-787 |
| Goberna MA, Jeyakumar V, Li G, et al. (2018) Guaranteeing highly robust weakly efficient solutions for uncertain multi-objective convex programs European Journal of Operational Research. 270: 40-50 |
| Chieu NH, Jeyakumar V, Li G, et al. (2018) Constraint qualifications for convex optimization without convexity of constraints : New connections and applications to best approximation European Journal of Operational Research. 265: 19-25 |
| Feng J, Wu D, Gao W, et al. (2018) Hybrid uncertain natural frequency analysis for structures with random and interval fields Computer Methods in Applied Mechanics and Engineering. 328: 365-389 |