Year |
Citation |
Score |
2020 |
Liu T, Markovsky I, Pong TK, Takeda A. A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints Siam Journal On Matrix Analysis and Applications. 41: 1260-1283. DOI: 10.1137/19M1269919 |
0.505 |
|
2020 |
Ye M, Pong TK. A Subgradient-Based Approach for Finding the Maximum Feasible Subsystem with Respect to a Set Siam Journal On Optimization. 30: 1274-1299. DOI: 10.1137/18M1186320 |
0.341 |
|
2020 |
Chen C, Pong TK, Tan L, Zeng L. A difference-of-convex approach for split feasibility with applications to matrix factorizations and outlier detection Journal of Global Optimization. 78: 107-136. DOI: 10.1007/S10898-020-00899-8 |
0.53 |
|
2020 |
Gouveia J, Pong TK, Saee M. Inner approximating the completely positive cone via the cone of scaled diagonally dominant matrices Journal of Global Optimization. 76: 383-405. DOI: 10.1007/S10898-019-00861-3 |
0.641 |
|
2019 |
Yu P, Pong TK. Iteratively reweighted $$\ell _1$$ ℓ 1 algorithms with extrapolation Computational Optimization and Applications. 73: 353-386. DOI: 10.1007/S10589-019-00081-1 |
0.471 |
|
2019 |
Liu T, Pong TK, Takeda A. A refined convergence analysis of $$\hbox {pDCA}_{e}$$ pDCA e with applications to simultaneous sparse recovery and outlier detection Computational Optimization and Applications. 73: 69-100. DOI: 10.1007/S10589-019-00067-Z |
0.466 |
|
2019 |
Liu T, Pong TK, Takeda A. A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems Mathematical Programming. 176: 339-367. DOI: 10.1007/S10107-018-1327-8 |
0.536 |
|
2018 |
Yang L, Pong TK, Chen X. A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems Siam Journal On Optimization. 28: 3402-3430. DOI: 10.1137/17M1130113 |
0.371 |
|
2018 |
Wen B, Chen X, Pong TK. A proximal difference-of-convex algorithm with extrapolation Computational Optimization and Applications. 69: 297-324. DOI: 10.1007/S10589-017-9954-1 |
0.459 |
|
2018 |
Li G, Pong TK. Calculus of the Exponent of Kurdyka–Łojasiewicz Inequality and Its Applications to Linear Convergence of First-Order Methods Foundations of Computational Mathematics. 18: 1199-1232. DOI: 10.1007/S10208-017-9366-8 |
0.504 |
|
2017 |
Wen B, Chen X, Pong TK. Linear Convergence of Proximal Gradient Algorithm with Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems Siam Journal On Optimization. 27: 124-145. DOI: 10.1137/16M1055323 |
0.445 |
|
2017 |
Yang L, Pong TK, Chen X. Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction Siam Journal On Imaging Sciences. 10: 74-110. DOI: 10.1137/15M1027528 |
0.511 |
|
2017 |
Li G, Liu T, Pong TK. Peaceman–Rachford splitting for a class of nonconvex optimization problems Computational Optimization and Applications. 68: 407-436. DOI: 10.1007/S10589-017-9915-8 |
0.547 |
|
2017 |
Liu T, Pong TK. Further properties of the forward---backward envelope with applications to difference-of-convex programming Computational Optimization and Applications. 67: 489-520. DOI: 10.1007/S10589-017-9900-2 |
0.515 |
|
2017 |
Chen X, Pong TK, Wets RJ-. Two-stage stochastic variational inequalities: an ERM-solution procedure Mathematical Programming. 165: 71-111. DOI: 10.1007/S10107-017-1132-9 |
0.418 |
|
2016 |
Chen X, Lu Z, Pong TK. Penalty Methods for a Class of Non-Lipschitz Optimization Problems Siam Journal On Optimization. 26: 1465-1492. DOI: 10.1137/15M1028054 |
0.528 |
|
2015 |
Li G, Pong TK. Global convergence of splitting methods for nonconvex composite op timization Siam Journal On Optimization. 25: 2434-2460. DOI: 10.1137/140998135 |
0.492 |
|
2015 |
Pong TK, Sun H, Wang N, Wolkowicz H. Eigenvalue, quadratic programming, and semidefinite programming relaxations for a cut minimization problem Computational Optimization and Applications. DOI: 10.1007/S10589-015-9779-8 |
0.527 |
|
2015 |
Li G, Pong TK. Douglas–Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems Mathematical Programming. 1-31. DOI: 10.1007/S10107-015-0963-5 |
0.518 |
|
2014 |
Friedlander MP, Macedo I, Pong TK. Gauge optimization and duality Siam Journal On Optimization. 24: 1999-2022. DOI: 10.1137/130940785 |
0.507 |
|
2014 |
Pong TK, Wolkowicz H. The generalized trust region subproblem Computational Optimization and Applications. 58: 273-322. DOI: 10.1007/S10589-013-9635-7 |
0.548 |
|
2014 |
Li G, Ma AKC, Pong TK. Robust least square semidefinite programming with applications Computational Optimization and Applications. 58: 347-379. DOI: 10.1007/S10589-013-9634-8 |
0.593 |
|
2013 |
Lu Z, Pong TK. Computing optimal experimental designs via interior point method Siam Journal On Matrix Analysis and Applications. 34: 1556-1580. DOI: 10.1137/120895093 |
0.436 |
|
2013 |
Maryam F, Pong TK, Sun D, Tseng P. Hankel matrix rank minimization with applications to system identification and realization Siam Journal On Matrix Analysis and Applications. 34: 946-977. DOI: 10.1137/110853996 |
0.506 |
|
2012 |
Lu Z, Pong TK, Zhang Y. An alternating direction method for finding Dantzig selectors Computational Statistics and Data Analysis. 56: 4037-4046. DOI: 10.1016/J.Csda.2012.04.019 |
0.375 |
|
2012 |
Pong TK. Edge-based semidefinite programming relaxation of sensor network localization with lower bound constraints Computational Optimization and Applications. 53: 23-44. DOI: 10.1007/S10589-011-9447-6 |
0.476 |
|
2012 |
Gouveia J, Pong TK. Comparing SOS and SDP relaxations of sensor network localization Computational Optimization and Applications. 52: 609-627. DOI: 10.1007/S10589-011-9431-1 |
0.604 |
|
2011 |
Lu Z, Pong TK. Minimizing condition number via convex programming Siam Journal On Matrix Analysis and Applications. 32: 1193-1211. DOI: 10.1137/100795097 |
0.593 |
|
2011 |
Pong TK, Tseng P. (Robust) Edge-based semidefinite programming relaxation of sensor network localization Mathematical Programming. 130: 321-358. DOI: 10.1007/S10107-009-0338-X |
0.447 |
|
2010 |
Pong TK, Tseng P, Ji S, Ye J. Trace norm regularization: Reformulations, algorithms, and multi-task learning Siam Journal On Optimization. 20: 3465-3489. DOI: 10.1137/090763184 |
0.503 |
|
2008 |
Li C, Ng KF, Pong TK. Constraint qualifications for convex inequality systems with applications in constrained optimization Siam Journal On Optimization. 19: 163-187. DOI: 10.1137/060676982 |
0.496 |
|
2007 |
Li C, Ng KF, Pong TK. The SECQ, linear regularity, and the strong chip for an infinite system of closed convex sets in normed linear spaces Siam Journal On Optimization. 18: 643-665. DOI: 10.1137/060652087 |
0.34 |
|
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