| Convergence rate analysis for deep ritz method C Duan, Y Jiao, Y Lai, X Lu, Z Yang arXiv preprint arXiv:2103.13330, 2021 | 63 | 2021 |
| Error analysis of deep Ritz methods for elliptic equations Y Jiao, Y Lai, Y Lo, Y Wang, Y Yang arXiv preprint arXiv:2107.14478, 2021 | 35 | 2021 |
| A rate of convergence of Physics Informed Neural Networks for the linear second order elliptic PDEs Y Jiao, Y Lai, D Li, X Lu, F Wang, Y Wang, JZ Yang arXiv preprint arXiv:2109.01780, 2021 | 34* | 2021 |
| Deep neural networks with relu-sine-exponential activations break curse of dimensionality in approximation on Hölder class Y Jiao, Y Lai, X Lu, F Wang, JZ Yang, Y Yang SIAM Journal on Mathematical Analysis 55 (4), 3635-3649, 2023 | 13* | 2023 |
| Analysis of deep ritz methods for laplace equations with dirichlet boundary conditions C Duan, Y Jiao, Y Lai, X Lu, Q Quan, JZ Yang arXiv preprint arXiv:2111.02009, 2021 | 6 | 2021 |
| Convergence analysis of the deep galerkin method for weak solutions Y Jiao, Y Lai, Y Wang, H Yang, Y Yang From Classical Analysis to Analysis on Fractals: A Tribute to Robert …, 2023 | 4 | 2023 |
| Convergence Analysis of Flow Matching in Latent Space with Transformers Y Jiao, Y Lai, Y Wang, B Yan arXiv preprint arXiv:2404.02538, 2024 | 1 | 2024 |
| Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method Y Jiao, Y Lai, Y Wang arXiv preprint arXiv:2405.11451, 2024 | | 2024 |
| Estimation error of gradient descent in deep regressions Y Jiao, Y Lai, H Lin, Y Wang | | 2023 |
| Error Analysis of the Nonconforming P1 Finite Element Method to the Sequential Regularization Formulation for Unsteady Navier-Stokes Equations Y Lai, K Liang, P Lin, X Lu, Q Quan Annals of Applied Mathematics, 2023 | | 2023 |
| HIGH-DIMENSIONAL LINEAR REGRESSION WITH HARD THRESHOLDING REGULARIZATION: THEORY AND ALGORITHM. L Kang, Y Lai, Y Liu, Y Luo, J Zhang Journal of Industrial & Management Optimization 19 (3), 2023 | | 2023 |
Yuling JiaoUniversity of WuhanVerified email at whu.edu.cn
