| Physics-informed machine learning: A survey on problems, methods and applications Z Hao, S Liu, Y Zhang, C Ying, Y Feng, H Su, J Zhu arXiv preprint arXiv:2211.08064, 2022 | 163 | 2022 |
| Gnot: A general neural operator transformer for operator learning Z Hao, Z Wang, H Su, C Ying, Y Dong, S Liu, Z Cheng, J Song, J Zhu International Conference on Machine Learning, 12556-12569, 2023 | 127 | 2023 |
| Pinnacle: A comprehensive benchmark of physics-informed neural networks for solving pdes Z Hao, J Yao, C Su, H Su, Z Wang, F Lu, Z Xia, Y Zhang, S Liu, L Lu, J Zhu arXiv preprint arXiv:2306.08827, 2023 | 30 | 2023 |
| A unified hard-constraint framework for solving geometrically complex pdes S Liu, H Zhongkai, C Ying, H Su, J Zhu, Z Cheng Advances in Neural Information Processing Systems 35, 20287-20299, 2022 | 21 | 2022 |
| Multiadam: Parameter-wise scale-invariant optimizer for multiscale training of physics-informed neural networks J Yao, C Su, Z Hao, S Liu, H Su, J Zhu International Conference on Machine Learning, 39702-39721, 2023 | 18 | 2023 |
| Dpot: Auto-regressive denoising operator transformer for large-scale pde pre-training Z Hao, C Su, S Liu, J Berner, C Ying, H Su, A Anandkumar, J Song, J Zhu arXiv preprint arXiv:2403.03542, 2024 | 15 | 2024 |
| Rdt-1b: a diffusion foundation model for bimanual manipulation S Liu, L Wu, B Li, H Tan, H Chen, Z Wang, K Xu, H Su, J Zhu arXiv preprint arXiv:2410.07864, 2024 | 13 | 2024 |
| Preconditioning for physics-informed neural networks S Liu, C Su, J Yao, Z Hao, H Su, Y Wu, J Zhu arXiv preprint arXiv:2402.00531, 2024 | 8 | 2024 |
| Nuno: A general framework for learning parametric pdes with non-uniform data S Liu, Z Hao, C Ying, H Su, Z Cheng, J Zhu International Conference on Machine Learning, 21658-21671, 2023 | 5 | 2023 |
| Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations Z Cheng, Z Hao, X Wang, J Huang, Y Wu, X Liu, Y Zhao, S Liu, H Su arXiv preprint arXiv:2405.17509, 2024 | 2 | 2024 |
| Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning H Tan, S Liu, K Ma, C Ying, X Zhang, H Su, J Zhu arXiv preprint arXiv:2405.19885, 2024 | 1 | 2024 |
| Task Aware Dreamer for Task Generalization in Reinforcement Learning C Ying, Z Hao, X Zhou, H Su, S Liu, D Yan, J Zhu arXiv preprint arXiv:2303.05092, 2023 | 1 | 2023 |
Hang SuAssociated Professor, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
