Xiaopeng Luo

According to our database, Xiaopeng Luo authored at least 23 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis.

Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-Ming Cheung, Kangshun Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Automatic Tagging by Leveraging Visual and Annotated Features in Social Media.

Jinpeng Chen, Pinguang Ying, Xiangling Fu, Xiaopeng Luo, Hao Guan, Kaimin Wei

IEEE Trans. Multim., 2022

Adaptive Sparse Approximations of Scattered Data.

Xin Xu, Xiaopeng Luo

J. Sci. Comput., 2022

Global Convergence of Noisy Gradient Descent.

Xuliang Qin, Xin Xu, Xiaopeng Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

EGSA: Enhanced and Global Semantic Activation for Weakly Supervised Object Localization.

Yin Liu, Lingyun Wang, Xin Xu, Xiaopeng Luo

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts.

Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Meta Distribution Alignment for Generalizable Person Re-Identification.

Hao Ni, Jingkuan Song, Xiaopeng Luo, Feng Zheng, Wen Li, Heng Tao Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Listening to the investors: A novel framework for online lending default prediction using deep learning neural networks.

Xiangling Fu, Tianxiong Ouyang, Jinpeng Chen, Xiaopeng Luo

Inf. Process. Manag., 2020

Derivative-free global minimization for a class of multiple minima problems.

Xiaopeng Luo, Xin Xu, Daoyi Dong

CoRR, 2020

A New Accelerated Stochastic Gradient Method with Momentum.

Liang Liu, Xiaopeng Luo

CoRR, 2020

Regularized asymptotic descents for a class of nonconvex optimization problems.

Xiaopeng Luo, Xin Xu

CoRR, 2020

Can speed up the convergence rate of stochastic gradient methods to O(1/k²) by a gradient averaging strategy?

Xin Xu, Xiaopeng Luo

CoRR, 2020

Distributed Formation Control of Unicycle-Like Vehicles Without Direct Distance Measurements.

Liang Liu, Xiaopeng Luo, Zhangqing Zhu

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Stochastic gradient-free descents.

Xiaopeng Luo, Xin Xu

CoRR, 2019

Continuous optimization.

Xiaopeng Luo, Xin Xu

CoRR, 2019

Numerical meshless solution of high-dimensional sine-Gordon equations via Fourier HDMR-HC approximation.

Xin Xu, Xiaopeng Luo, Herschel Rabitz

CoRR, 2019

Meshless Hermite-HDMR finite difference method for high-dimensional Dirichlet problems.

Xiaopeng Luo, Xin Xu, Herschel Rabitz

CoRR, 2019

Sparse residual tree and forest.

Xin Xu, Xiaopeng Luo

CoRR, 2019

2018

Minima distribution for global optimization.

Xiaopeng Luo

CoRR, 2018

2015

A numerical meshless method of soliton-like structures model via an optimal sampling density based kernel interpolation.

Xin Xu, Zhenzhou Lu, Xiaopeng Luo

Comput. Phys. Commun., 2015

2014

Non-parametric kernel estimation for the ANOVA decomposition and sensitivity analysis.

Xiaopeng Luo, Zhenzhou Lu, Xin Xu

Reliab. Eng. Syst. Saf., 2014

Reproducing kernel technique for high dimensional model representations (HDMR).

Xiaopeng Luo, Zhenzhou Lu, Xin Xu

Comput. Phys. Commun., 2014

A fast computational method for moment-independent uncertainty importance measure.

Xiaopeng Luo, Zhenzhou Lu, Xin Xu

Comput. Phys. Commun., 2014