A multi-scale DNN algorithm for nonlinear elliptic equations with multiple scales LZ Xi-An Li, Zhi-Qin John Xu Communications in Computational Physics 28, 1886-1906, 2020 | 50* | 2020 |
Subspace decomposition based DNN algorithm for elliptic type multi-scale PDEs XA Li, ZQJ Xu, L Zhang Journal of Computational Physics 488, 112242, 2023 | 26 | 2023 |
Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics X Ning, L Jia, Y Wei, XA Li, F Chen Computers in biology and medicine 158, 106693, 2023 | 23 | 2023 |
On symmetric block triangular splitting iteration method for a class of complex symmetric system of linear equations XA Li, WH Zhang, YJ Wu Applied Mathematics Letters 79, 131-137, 2018 | 22 | 2018 |
Physics-informed neural networks integrating compartmental model for analyzing COVID-19 transmission dynamics X Ning, J Guan, XA Li, Y Wei, F Chen Viruses 15 (8), 1749, 2023 | 16 | 2023 |
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions X Li, J Deng, J Wu, S Zhang, W Li, YG Wang Computers & Mathematics with Applications 159, 60-75, 2024 | 15 | 2024 |
A hybrid autoformer framework for electricity demand forecasting Z Wang, Z Chen, Y Yang, C Liu, X Li, J Wu Energy Reports 9, 3800-3812, 2023 | 15 | 2023 |
Multiscale receptive fields graph attention network for point cloud classification XA Li, LY Wang, J Lu Complexity 2021 (1), 8832081, 2021 | 12 | 2021 |
Euler iteration augmented physics-informed neural networks for time-varying parameter estimation of the epidemic compartmental model X Ning, XA Li, Y Wei, F Chen Frontiers in Physics 10, 1062554, 2022 | 9 | 2022 |
An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting S Zhao, Q Wu, Y Zhang, J Wu, XA Li Expert Systems with Applications 210, 118467, 2022 | 8 | 2022 |
Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks X Li, J Wu, X Tai, J Xu, YG Wang Journal of Computational Physics 508, 113012, 2024 | 5 | 2024 |
Multiscale-integrated deep learning approaches for short-term load forecasting Y Yang, Y Gao, Z Wang, X Li, H Zhou, J Wu International Journal of Machine Learning and Cybernetics, 1-16, 2024 | 3 | 2024 |
Solving a class of high-order elliptic pdes using deep neural networks based on its coupled scheme X Li, J Wu, L Zhang, X Tai Mathematics 10 (22), 4186, 2022 | 3 | 2022 |
On quasi shift-splitting iteration method for a class of saddle point problems WL Gao, XA Li, XM Lu Computers & Mathematics with Applications 79 (10), 2912-2923, 2020 | 3 | 2020 |
Augmented physics informed extreme learning machine to solve the biharmonic equations via Fourier expansions X Li, Z Ding, J Wu, X Tai, L Liu, YG Wang | 1* | 2024 |
Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss Z Cui, T Li, Z Ding, X Li, J Wu Data Science and Management, 2024 | 1 | 2024 |
Water resource forecasting with machine learning and deep learning: A scientometric analysis C Liu, J Xu, X Li, Z Yu, J Wu Artificial Intelligence in Geosciences, 100084, 2024 | 1 | 2024 |
An equidistant parameterized Gauss–Seidel iteration method for a class of block two-by-two linear systems XA Li, J Lu Computational and Applied Mathematics 39 (4), 292, 2020 | 1 | 2020 |
Fourier Heuristic Pinns to Solve the Biharmonic Equations Based on its Coupled Scheme XA Li, Y Huang, J Wu Yujia and Wu, Jinran, Fourier Heuristic Pinns to Solve the Biharmonic …, 2024 | | 2024 |
Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise Y Hou, X Li, J Wu arXiv preprint arXiv:2408.09340, 2024 | | 2024 |