Neural networks based on three classes of NCP-functions for solving nonlinear complementarity problems. - Jan Harold Alcantara; Jein-Shan Chen (Neurocomputing, 2019)

A novel generalization of the natural residual function and a neural network approach for the NCP. - Jan Harold Alcantara; Jein-Shan Chen (Neurocomputing, 2020)

On construction of new NCP functions. - Jan Harold Alcantara; Chen-Han Lee; Chieu Thanh Nguyen; Yu-Lin Chang; Jein-Shan Chen (Oper. Res. Lett., 2020)

Method of Alternating Projection for the Absolute Value Equation. - Jan Harold Alcantara; Jein-Shan Chen; Matthew K. Tam (CoRR, 2021)

Smoothing Strategy Along with Conjugate Gradient Algorithm for Signal Reconstruction. - Caiying Wu; Jing Wang; Jan Harold Alcantara; Jein-Shan Chen (J. Sci. Comput., 2021)

A Neural Network Based on the Metric Projector for Solving SOCCVI Problem. - Juhe Sun; Weichen Fu; Jan Harold Alcantara; Jein-Shan Chen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems. - Jan Harold Alcantara; Ching-pei Lee (NeurIPS, 2022)

A new class of neural networks for NCPs using smooth perturbations of the natural residual function. - Jan Harold Alcantara; Jein-Shan Chen (J. Comput. Appl. Math., 2022)

A Four-Operator Splitting Algorithm for Nonconvex and Nonsmooth Optimization. - Jan Harold Alcantara; Ching-pei Lee; Akiko Takeda (SIAM J. Optim., 2025)

Smoothing penalty approach for solving second-order cone complementarity problems. - Chieu Thanh Nguyen; Jan Harold Alcantara; Zijun Hao; Jein-Shan Chen (J. Glob. Optim., 2025)

Global Convergence and Acceleration of Projection Methods for Feasibility Problems Involving Union Convex Sets. - Jan Harold Alcantara; Ching-pei Lee (J. Optim. Theory Appl., 2025)

Unified smoothing approach for best hyperparameter selection problem using a bilevel optimization strategy. - Jan Harold Alcantara; Chieu Thanh Nguyen; Takayuki Okuno; Akiko Takeda; Jein-Shan Chen (Math. Program., 2025)