Xi-An Li

According to our database, Xi-An Li authored at least 20 papers between 2018 and 2025.

Collaborative distances:

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

2025

An adaptive regression algorithm with a clustering process for multi-modal data prediction.

Shangrui Zhao, Weiqi Yu, Yulu Wu, Jinran Wu, Xi'an Li, You-Gan Wang

Discov. Comput., December, 2025

Normalized Fourier-induced PINN method for solving the wave propagation equation in a non-unitized domain over an extended time range.

Jichao Ma, Dandan Liu, Jinran Wu, Xi'an Li

CoRR, March, 2025

Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation.

Xi'an Li, Jinran Wu, Yujia Huang, Zhe Ding, Xin Tai, Liang Liu, You-Gan Wang

J. Comput. Appl. Math., 2025

2024

Multiscale-integrated deep learning approaches for short-term load forecasting.

Yang Yang, Yuchao Gao, Zijin Wang, Xi'an Li, Hu Zhou, Jinran Wu

Int. J. Mach. Learn. Cybern., December, 2024

Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation.

Siyuan Liu, Jiaxin Deng, Jin Yuan, Weide Li, Xi'an Li, Jing Xu, Shaotong Zhang, Jinran Wu, You-Gan Wang

Earth Sci. Informatics, December, 2024

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks.

Xi'an Li, Jinran Wu, Xin Tai, Jianhua Xu, You-Gan Wang

J. Comput. Phys., 2024

Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise.

Yilong Hou, Xi'an Li, Jinran Wu

CoRR, 2024

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.

Xi'an Li, Jiaxin Deng, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang

Comput. Math. Appl., 2024

DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation.

Qinshuo Liu, Zixin Wang, Xi-An Li, Xinyao Ji, Lei Zhang, Lin Liu, Zhonghua Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Subspace decomposition based DNN algorithm for elliptic type multi-scale PDEs.

Xi-An Li, Zhi-Qin John Xu, Lei Zhang

J. Comput. Phys., September, 2023

Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics.

Ning Xi, Linlin Jia, Yongyue Wei, Xi-An Li, Feng Chen

Comput. Biol. Medicine, May, 2023

Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes.

Xi'an Li, Jinran Wu, Jiaxin Deng, Zhe Ding, You-Gan Wang, Xin Tai, Liang Liu

CoRR, 2023

Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks.

Xi'an Li, Jinran Wu, Zhi-Qin John Xu, You-Gan Wang

CoRR, 2023

2022

An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting.

Shangrui Zhao, Qingyue Wu, Yueyi Zhang, Jinran Wu, Xi-An Li

Expert Syst. Appl., 2022

2021

Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification.

Xi-An Li, Li-Yan Wang, Jian Lu

Complex., 2021

2020

Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification.

Xi-An Li, Lei Zhang, Li-Yan Wang, Jian Lu

CoRR, 2020

Single-step triangular splitting iteration method for a class of complex symmetric linear system.

Xi'an Li, Jian Lu

CoRR, 2020

On quasi shift-splitting iteration method for a class of saddle point problems.

Wen-Li Gao, Xi-An Li, Xin-ming Lu

Comput. Math. Appl., 2020

An equidistant parameterized Gauss-Seidel iteration method for a class of block two-by-two linear systems.

Xi-An Li, Jian Lu

Comput. Appl. Math., 2020

2018

On symmetric block triangular splitting iteration method for a class of complex symmetric system of linear equations.

Xi-An Li, Wei-Hong Zhang, Yu-Jiang Wu

Appl. Math. Lett., 2018