| Towards a theoretical framework of out-of-distribution generalization H Ye, C Xie, T Cai, R Li, Z Li, L Wang Advances in Neural Information Processing Systems 34, 23519-23531, 2021 | 124 | 2021 |
| A computational framework for neural network-based variational Monte Carlo with Forward Laplacian R Li, H Ye, D Jiang, X Wen, C Wang, Z Li, X Li, D He, J Chen, W Ren, ... Nature Machine Intelligence 6 (2), 209-219, 2024 | 24* | 2024 |
| DOF: Accelerating High-order Differential Operators with Forward Propagation R Li, C Wang, H Ye, D He, L Wang arXiv preprint arXiv:2402.09730, 2024 | 2 | 2024 |
| Spin-symmetry-enforced solution of the many-body Schrödinger equation with a deep neural network Z Li, Z Lu, R Li, X Wen, X Li, L Wang, J Chen, W Ren Nature Computational Science 4 (12), 910-919, 2024 | | 2024 |
| Symmetry enforced solution of the many-body Schr\" odinger equation with deep neural network Z Li, Z Lu, R Li, X Wen, X Li, L Wang, J Chen, W Ren arXiv preprint arXiv:2406.01222, 2024 | | 2024 |
