On symmetric block triangular splitting iteration method for a class of complex symmetric system of linear equations. - Xi-An Li 004; Wei-Hong Zhang; Yu-Jiang Wu (Appl. Math. Lett., 2018)

An equidistant parameterized Gauss-Seidel iteration method for a class of block two-by-two linear systems. - Xi-An Li 004; Jian Lu (Comput. Appl. Math., 2020)

On quasi shift-splitting iteration method for a class of saddle point problems. - Wen-Li Gao; Xi-An Li 004; Xin-ming Lu (Comput. Math. Appl., 2020)

Single-step triangular splitting iteration method for a class of complex symmetric linear system. - Xi'an Li 004; Jian Lu (CoRR, 2020)

Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification. - Xi-An Li 004; Lei Zhang; Li-Yan Wang; Jian Lu (CoRR, 2020)

Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification. - Xi-An Li 004; Li-Yan Wang; Jian Lu (Complex., 2021)

An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting. - Shangrui Zhao; Qingyue Wu; Yueyi Zhang; Jinran Wu; Xi-An Li 004 (Expert Syst. Appl., 2022)

Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks. - Xi'an Li 004; Jinran Wu; Zhi-Qin John Xu; You-Gan Wang (CoRR, 2023)

Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes. - Xi'an Li 004; Jinran Wu; Jiaxin Deng; Zhe Ding; You-Gan Wang; Xin Tai; Liang Liu (CoRR, 2023)

Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics. - Ning Xi 001; Linlin Jia; Yongyue Wei; Xi-An Li 004; Feng Chen (Comput. Biol. Medicine, 2023)

Subspace decomposition based DNN algorithm for elliptic type multi-scale PDEs. - Xi-An Li 004; Zhi-Qin John Xu; Lei Zhang (J. Comput. Phys., 2023)

DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation. - Qinshuo Liu; Zixin Wang; Xi-An Li 004; Xinyao Ji; Lei Zhang; Lin Liu; Zhonghua Liu (ICML, 2024)

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. - Xi'an Li 004; Jiaxin Deng; Jinran Wu; Shaotong Zhang; Weide Li; You-Gan Wang (Comput. Math. Appl., 2024)

Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise. - Yilong Hou; Xi'an Li 004; Jinran Wu (CoRR, 2024)

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks. - Xi'an Li 004; Jinran Wu; Xin Tai; Jianhua Xu; You-Gan Wang (J. Comput. Phys., 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 004; Jing Xu; Shaotong Zhang; Jinran Wu; You-Gan Wang (Earth Sci. Informatics, 2024)

Multiscale-integrated deep learning approaches for short-term load forecasting. - Yang Yang 052; Yuchao Gao; Zijin Wang; Xi'an Li 004; Hu Zhou; Jinran Wu (Int. J. Mach. Learn. Cybern., 2024)

Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation. - Xi'an Li 004; Jinran Wu; Yujia Huang; Zhe Ding; Xin Tai; Liang Liu; You-Gan Wang (J. Comput. Appl. Math., 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 004 (CoRR, 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 004; You-Gan Wang (Discov. Comput., 2025)