Revealing hidden dynamics from time-series data by ODENet P Hu, W Yang, Y Zhu, L Hong Journal of Computational Physics 461, 111203, 2022 | 28 | 2022 |
Bi-greennet: learning green’s functions by boundary integral network G Lin, F Chen, P Hu, X Chen, J Chen, J Wang, Z Shi Communications in Mathematics and Statistics 11 (1), 103-129, 2023 | 14 | 2023 |
The impact of large language models on scientific discovery: a preliminary study using gpt-4 MR AI4Science, MA Quantum arXiv preprint arXiv:2311.07361, 2023 | 13 | 2023 |
BINet: learning to solve partial differential equations with boundary integral networks G Lin, P Hu, F Chen, X Chen, J Chen, J Wang, Z Shi arXiv preprint arXiv:2110.00352, 2021 | 13 | 2021 |
Peierls-Nabarro barrier effect in nonlinear Floquet topological insulators MJ Ablowitz, JT Cole, P Hu, P Rosenthal Physical Review E 103 (4), 042214, 2021 | 13 | 2021 |
Traveling edge states in massive Dirac equations along slowly varying edges P Hu, P Xie, Y Zhu IMA Journal of Applied Mathematics 88 (3), 455-471, 2023 | 9 | 2023 |
Linear and nonlinear electromagnetic waves in modulated honeycomb media P Hu, L Hong, Y Zhu Studies in Applied Mathematics 144 (1), 18-45, 2020 | 8 | 2020 |
On robustness of neural odes image classifiers W Cui, H Zhang, H Chu, P Hu, Y Li Information Sciences 632, 576-593, 2023 | 4 | 2023 |
Weak Collocation Regression method: fast reveal hidden stochastic dynamics from high-dimensional aggregate data L Lu, Z Zeng, Y Jiang, Y Zhu, P Hu Journal of Computational Physics 502, 112799, 2024 | 2 | 2024 |
Weak Collocation Regression for Inferring Stochastic Dynamics with L\'{e} vy Noise L Guo, L Lu, Z Zeng, P Hu, Y Zhu arXiv preprint arXiv:2403.08292, 2024 | | 2024 |
Reconstruction of dynamical systems from data without time labels Z Zeng, P Hu, C Bao, Y Zhu, Z Shi arXiv preprint arXiv:2312.04038, 2023 | | 2023 |
A neural network framework for learning Green's function G Lin, F Chen, P Hu, X Chen, J Chen, J Wang, Z Shi | | 2021 |