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ORCIDZheyuan Hu 0002
Person information
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Zheyuan Hu — disambiguation page
- Zheyuan Hu 0001
![[0000-0001-7738-4645]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7738-4645")
— Beihang University, Beijing, China - Zheyuan Hu 0003 — Carnegie Mellon University, PA, USA (and 1 more)
- Zheyuan Hu 0004 — Beijing Institute of Technology, Beijing, China
- Zheyuan Hu 0005 — Hunan University, Changsha, China
- Zheyuan Hu 0006 — University of Cambridge, UK
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2020 – today
- 2025
[j4]Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis:
Tensor neural networks for high-dimensional Fokker-Planck equations. Neural Networks 185: 107165 (2025)- 2024
- [j3]Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi:
Tackling the curse of dimensionality with physics-informed neural networks. Neural Networks 176: 106369 (2024) - [c3]Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi:
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. NeurIPS 2024 - [i13]Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi:
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. CoRR abs/2402.07465 (2024) - [i12]Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis:
Tensor neural networks for high-dimensional Fokker-Planck equations. CoRR abs/2404.05615 (2024) - [i11]Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi:
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations. CoRR abs/2406.11676 (2024) - [i10]Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis:
Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with Physics-Informed Neural Networks. CoRR abs/2406.11708 (2024) - [i9]Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis:
State-space models are accurate and efficient neural operators for dynamical systems. CoRR abs/2409.03231 (2024) - [i8]Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi:
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. CoRR abs/2412.00088 (2024) - 2023
- [j2]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. Eng. Appl. Artif. Intell. 126: 107183 (2023) - [c2]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR 2023 - [i7]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR abs/2303.00399 (2023) - [i6]Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi:
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks. CoRR abs/2307.12306 (2023) - [i5]Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi:
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. CoRR abs/2311.15283 (2023) - [i4]Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi:
Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks. CoRR abs/2312.14499 (2023) - 2022
- [j1]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? SIAM J. Sci. Comput. 44(5): 3158- (2022) - [i3]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. CoRR abs/2211.08939 (2022) - 2021
- [i2]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? CoRR abs/2109.09444 (2021) - 2020
- [c1]Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD 2020: 731-752 - [i1]Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR abs/2007.03196 (2020)
Coauthor Index
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