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)

Minima distribution for global optimization. - Xiaopeng Luo (CoRR, 2018)

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)

Distributed Formation Control of Unicycle-Like Vehicles Without Direct Distance Measurements. - Liang Liu; Xiaopeng Luo; Zhangqing Zhu (ICNSC, 2020)

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)

A New Accelerated Stochastic Gradient Method with Momentum. - Liang Liu; Xiaopeng Luo (CoRR, 2020)

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

Listening to the investors: A novel framework for online lending default prediction using deep learning neural networks. - Xiangling Fu; Tianxiong Ouyang; Jinpeng Chen 001; Xiaopeng Luo (Inf. Process. Manag., 2020)

Meta Distribution Alignment for Generalizable Person Re-Identification. - Hao Ni 002; Jingkuan Song; Xiaopeng Luo; Feng Zheng; Wen Li 001; Heng Tao Shen (CVPR, 2022)

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. - Lang Zhao; Yiqun Zhang 006; Yuzhu Ji; An Zeng; Fangqing Gu; Xiaopeng Luo (DSAA, 2022)

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)

Automatic Tagging by Leveraging Visual and Annotated Features in Social Media. - Jinpeng Chen 001; Pinguang Ying; Xiangling Fu; Xiaopeng Luo; Hao Guan; Kaimin Wei (IEEE Trans. Multim., 2022)

Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis. - Lang Zhao; Yiqun Zhang 006; Xiaopeng Luo; Yue Zhang 045; Yiu-Ming Cheung; Kangshun Li (BIBM, 2023)

A New Collaborative Neural Network: Using HDMR for Dynamic Structural Adaptation. - Kanghui Zhu; Xin Xu; Yufeng Zheng; Xiaopeng Luo (ASCC, 2024)

MGOD: Multi-Granular Outlier Detection with Clustlier Analysis. - Qingsheng Chen; Mingjie Zhao 003; Yuzhu Ji; Xiaopeng Luo; Yiqun Zhang 006; Yue Zhang 045 (BIBM, 2024)

Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis. - Xiaopeng Luo; Yiqun Zhang 006; Yuzhu Ji; Peng Liu; Taoting Xiao (BIBM, 2024)

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. - Shenghong Cai; Yiqun Zhang 006; Xiaopeng Luo; Yiu-Ming Cheung; Hong Jia; Peng Liu (ICDCS, 2024)

Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data. - Yunfan Zhang; Xiaopeng Luo; Qingsheng Chen; Rong Zou; Yiqun Zhang 006; Yiu-ming Cheung (ICPR (2), 2024)

MACL: Metric and Attribute Space Co-learning for Qualitative Data Clustering. - Haoyi Xiao; Xinxi Chen; Xiaopeng Luo; Xiang Zhang; Gengwen Huang; Wei Ai (ICIC (12), 2025)

Firm-Generated Online Content in Social Media and Stock Performance: An Event Window Study of Twitter and the S&P 500. - Pengcheng Zhang; Xiaopeng Luo; Jiayin Qi; Jia Li (Commun. Assoc. Inf. Syst., 2025)

Bi-Telecentric Camera Calibration via Orthogonal Binary Phase Target for Shallow DoF and High-Accuracy Fringe Projection 3-D Microscopy. - Jiangping Zhu; Xiaopeng Luo; Zhoumiao He; Guigang Yin; Pei Zhou (IEEE Trans. Instrum. Meas., 2025)