Stebėti
Zhongkai Hao
Pavadinimas
Cituota
Cituota
Metai
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
1232020
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
642022
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
642021
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
352023
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
262023
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
152022
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
102023
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
102022
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
72022
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
6*
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
42022
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, 2024
32024
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
32023
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm
JF Zhu, ZK Hao, Q Liu, Y Yin, CQ Lu, ZY Huang, EH Chen
Journal of Computer Science and Technology 37 (6), 1464-1477, 2022
32022
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
22024
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
22023
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
22023
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
H Wang, Z Hao, J Wang, Z Geng, Z Wang, B Li, F Wu
arXiv preprint arXiv:2401.09516, 2024
12024
On the Reuse Bias in Off-Policy Reinforcement Learning
C Ying, Z Hao, X Zhou, H Su, D Yan, J Zhu
arXiv preprint arXiv:2209.07074, 2022
12022
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
2024
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