ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition Y Wang, K Yi, X Liu, YG Wang, S Jin ICLR 2023 (Spotlight), 2022 | 44* | 2022 |
Mitigating spectral bias for the multiscale operator learning X Liu, B Xu, S Cao, L Zhang Journal of Computational Physics 506, 112944, 2024 | 20* | 2024 |
Well-conditioned spectral transforms for dynamic graph representation B Zhou, X Liu, Y Liu, Y Huang, P Lio, YG Wang Learning on Graphs Conference, 12: 1-12: 19, 2022 | 9* | 2022 |
Generalized rough polyharmonic splines for multiscale pdes with rough coefficients X Liu, L Zhang, S Zhu Numer. Math. Theor. Meth. Appl. 14 (4), 862-892., 2021 | 5 | 2021 |
Iterated numerical homogenization for multiscale elliptic equations with monotone nonlinearity X Liu, E Chung, L Zhang Multiscale Modeling & Simulation 19 (4), 1601-1632, 2021 | 5 | 2021 |
Framelet message passing X Liu, B Zhou, C Zhang, YG Wang arXiv preprint arXiv:2302.14806, 2023 | 4 | 2023 |
MgNO: Efficient Parameterization of Linear Operators via Multigrid J He, X Liu, J Xu ICLR 2024, 2023 | 2 | 2023 |
Optimal control for multiscale equations with rough coefficients Y Chen, X Liu, J Zeng, L Zhang Journal of Computational Mathematics 41 (5), 842-866, 2021 | 1* | 2021 |