Stebėti
Zhongkai Hao
Pavadinimas
Cituota
Cituota
Metai
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
1742022
ASGN: An active semi-supervised graph neural network for molecular property prediction
Z Hao, C Lu, Z Huang, H Wang, Z Hu, Q Liu, E Chen, C Lee
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
1662020
Gnot: A general neural operator transformer for operator learning
Z Hao, C Ying, Z Wang, H Su, Y Dong, S Liu, Z Cheng, J Zhu, J Song
International Conference on Machine Learning (ICML 2023), 2023
1302023
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition
S Zhao, H Tao, Y Zhang, T Xu, K Zhang, Z Hao, E Chen
Neurocomputing 448, 276-289, 2021
1142021
Equivariant Energy-Guided SDE for Inverse Molecular Design
F Bao, M Zhao, Z Hao, P Li, C Li, J Zhu
International Conference on Learning Representations (ICLR 2023), 2023
582023
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
312023
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Z Hao, C Ying, Y Dong, H Su, J Zhu, J Song
International Conference on Machine Learning (ICML 2022), 2022
252022
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
212022
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
Proceedings of the 41st International Conference on Machine Learning, PMLR …, 2024
182024
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 (ICML 2023), 2023
182023
CLUSTER ATTACK: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors
Z Wang, Z Hao, Z Wang, H Su, J Zhu
IJCAI 2022, 0
17*
Your diffusion model is secretly a certifiably robust classifier
H Chen, Y Dong, S Shao, Z Hao, X Yang, H Su, J Zhu
arXiv preprint arXiv:2402.02316, 2024
162024
Full-atom protein pocket design via iterative refinement
Z Zhang, Z Lu, H Zhongkai, M Zitnik, Q Liu
Advances in Neural Information Processing Systems 36, 16816-16836, 2023
162023
Bi-level physics-informed neural networks for pde constrained optimization using broyden's hypergradients
Z Hao, C Ying, H Su, J Zhu, J Song, Z Cheng
International Conference on Learning Representations (ICLR 2023), 2022
132022
Avt: Au-assisted visual transformer for facial expression recognition
R Jin, S Zhao, Z Hao, Y Xu, T Xu, E Chen
2022 IEEE International Conference on Image Processing (ICIP), 2661-2665, 2022
102022
Reward informed dreamer for task generalization in reinforcement learning
C Ying, Z Hao, X Zhou, H Su, S Liu, J Li, D Yan, J Zhu
arXiv preprint arXiv:2303.05092, 2023
92023
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
82024
Improved operator learning by orthogonal attention
Z Xiao, Z Hao, B Lin, Z Deng, H Su
arXiv preprint arXiv:2310.12487, 2023
72023
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
C Ying, Z Hao, X Zhou, X Xu, H Su, X Zhang, J Zhu
arXiv preprint arXiv:2405.14073, 2024
52024
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 (ICML 2023), 2023
52023
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20