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Xiaopeng Luo
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2020 – today
- 2023
- [c6]Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-Ming Cheung, Kangshun Li:
Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis. BIBM 2023: 771-778 - 2022
- [j7]Xin Xu, Xiaopeng Luo
:
Adaptive Sparse Approximations of Scattered Data. J. Sci. Comput. 90(3): 87 (2022) - [j6]Jinpeng Chen
, Pinguang Ying, Xiangling Fu
, Xiaopeng Luo, Hao Guan, Kaimin Wei
:
Automatic Tagging by Leveraging Visual and Annotated Features in Social Media. IEEE Trans. Multim. 24: 2218-2229 (2022) - [c5]Hao Ni, Jingkuan Song, Xiaopeng Luo, Feng Zheng, Wen Li, Heng Tao Shen:
Meta Distribution Alignment for Generalizable Person Re-Identification. CVPR 2022: 2477-2486 - [c4]Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo:
Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. DSAA 2022: 1-10 - [c3]Yin Liu, Lingyun Wang, Xin Xu, Xiaopeng Luo:
EGSA: Enhanced and Global Semantic Activation for Weakly Supervised Object Localization. ICNSC 2022: 1-6 - [c2]Xuliang Qin, Xin Xu, Xiaopeng Luo:
Global Convergence of Noisy Gradient Descent. SMC 2022: 2109-2115 - 2020
- [j5]Xiangling Fu
, Tianxiong Ouyang, Jinpeng Chen, Xiaopeng Luo:
Listening to the investors: A novel framework for online lending default prediction using deep learning neural networks. Inf. Process. Manag. 57(4): 102236 (2020) - [c1]Liang Liu, Xiaopeng Luo, Zhangqing Zhu:
Distributed Formation Control of Unicycle-Like Vehicles Without Direct Distance Measurements. ICNSC 2020: 1-6 - [i10]Xin Xu, Xiaopeng Luo:
Can speed up the convergence rate of stochastic gradient methods to O(1/k2) by a gradient averaging strategy? CoRR abs/2002.10769 (2020) - [i9]Xiaopeng Luo, Xin Xu:
Regularized asymptotic descents for a class of nonconvex optimization problems. CoRR abs/2004.02210 (2020) - [i8]Liang Liu, Xiaopeng Luo:
A New Accelerated Stochastic Gradient Method with Momentum. CoRR abs/2006.00423 (2020) - [i7]Xiaopeng Luo, Xin Xu, Daoyi Dong:
Derivative-free global minimization for a class of multiple minima problems. CoRR abs/2006.08181 (2020)
2010 – 2019
- 2019
- [i6]Xin Xu, Xiaopeng Luo:
Sparse residual tree and forest. CoRR abs/1902.06443 (2019) - [i5]Xiaopeng Luo, Xin Xu, Herschel Rabitz:
Meshless Hermite-HDMR finite difference method for high-dimensional Dirichlet problems. CoRR abs/1905.04715 (2019) - [i4]Xin Xu, Xiaopeng Luo, Herschel Rabitz:
Numerical meshless solution of high-dimensional sine-Gordon equations via Fourier HDMR-HC approximation. CoRR abs/1905.04718 (2019) - [i3]Xiaopeng Luo, Xin Xu:
Continuous optimization. CoRR abs/1909.01123 (2019) - [i2]Xiaopeng Luo, Xin Xu:
Stochastic gradient-free descents. CoRR abs/1912.13305 (2019) - 2018
- [i1]Xiaopeng Luo:
Minima distribution for global optimization. CoRR abs/1812.03457 (2018) - 2015
- [j4]Xin Xu
, Zhenzhou Lu, Xiaopeng Luo
:
A numerical meshless method of soliton-like structures model via an optimal sampling density based kernel interpolation. Comput. Phys. Commun. 192: 12-22 (2015) - 2014
- [j3]Xiaopeng Luo
, Zhenzhou Lu, Xin Xu
:
A fast computational method for moment-independent uncertainty importance measure. Comput. Phys. Commun. 185(1): 19-27 (2014) - [j2]Xiaopeng Luo
, Zhenzhou Lu, Xin Xu
:
Reproducing kernel technique for high dimensional model representations (HDMR). Comput. Phys. Commun. 185(12): 3099-3108 (2014) - [j1]Xiaopeng Luo
, Zhenzhou Lu, Xin Xu
:
Non-parametric kernel estimation for the ANOVA decomposition and sensitivity analysis. Reliab. Eng. Syst. Saf. 130: 140-148 (2014)
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