A fast computational method for moment-independent uncertainty importance measure. - Xiaopeng Luo; Zhenzhou Lu; Xin Xu 006 (Comput. Phys. Commun., 2014)

Reproducing kernel technique for high dimensional model representations (HDMR). - Xiaopeng Luo; Zhenzhou Lu; Xin Xu 006 (Comput. Phys. Commun., 2014)

Non-parametric kernel estimation for the ANOVA decomposition and sensitivity analysis. - Xiaopeng Luo; Zhenzhou Lu; Xin Xu 006 (Reliab. Eng. Syst. Saf., 2014)

A numerical meshless method of soliton-like structures model via an optimal sampling density based kernel interpolation. - Xin Xu 006; Zhenzhou Lu; Xiaopeng Luo (Comput. Phys. Commun., 2015)

Sparse residual tree and forest. - Xin Xu 006; Xiaopeng Luo (CoRR, 2019)

Meshless Hermite-HDMR finite difference method for high-dimensional Dirichlet problems. - Xiaopeng Luo; Xin Xu 006; Herschel Rabitz (CoRR, 2019)

Numerical meshless solution of high-dimensional sine-Gordon equations via Fourier HDMR-HC approximation. - Xin Xu 006; Xiaopeng Luo; Herschel Rabitz (CoRR, 2019)

Continuous optimization. - Xiaopeng Luo; Xin Xu 006 (CoRR, 2019)

Stochastic gradient-free descents. - Xiaopeng Luo; Xin Xu 006 (CoRR, 2019)

Can speed up the convergence rate of stochastic gradient methods to O(1/k2) by a gradient averaging strategy? - Xin Xu 006; Xiaopeng Luo (CoRR, 2020)

Regularized asymptotic descents for a class of nonconvex optimization problems. - Xiaopeng Luo; Xin Xu 006 (CoRR, 2020)

Derivative-free global minimization for a class of multiple minima problems. - Xiaopeng Luo; Xin Xu 006; Daoyi Dong (CoRR, 2020)

EGSA: Enhanced and Global Semantic Activation for Weakly Supervised Object Localization. - Yin Liu; Lingyun Wang; Xin Xu 006; Xiaopeng Luo (ICNSC, 2022)

Global Convergence of Noisy Gradient Descent. - Xuliang Qin; Xin Xu 006; Xiaopeng Luo (SMC, 2022)

Adaptive Sparse Approximations of Scattered Data. - Xin Xu 006; Xiaopeng Luo (J. Sci. Comput., 2022)