Zheyuan Hu - RankMe

25 papers A* 3Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Neural networks for solving high-dimensional parabolic partial differential equations. CoRR Wenzhong Zhang, Zheyuan Hu, Wei Cai, George E. Karniadakis
2026	J	`jnl`	State-space models are accurate and efficient neural operators for dynamical systems. Neural Networks Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis
2025	J	`jnl`	Bias-Variance Trade-Off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. SIAM J. Sci. Comput. Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George E. Karniadakis, Kenji Kawaguchi
2025	J	`jnl`	DeepOMamba: State-space model for spatio-temporal PDE neural operator learning. J. Comput. Phys. Zheyuan Hu, Qianying Cao, Kenji Kawaguchi, George Em Karniadakis
2025	J	`jnl`	Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. SIAM J. Sci. Comput. Zheyuan Hu, Zhongqiang Zhang, George E. Karniadakis, Kenji Kawaguchi
2025	J	`jnl`	Tensor neural networks for high-dimensional Fokker-Planck equations. Neural Networks Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
2024	J	`jnl`	Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. CoRR Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
2024	J	`jnl`	Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations. CoRR Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
2024	J	`jnl`	State-space models are accurate and efficient neural operators for dynamical systems. CoRR Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis
2024	A*	`conf`	Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. NeurIPS Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
2024	J	`jnl`	Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. CoRR Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
2024	J	`jnl`	Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with Physics-Informed Neural Networks. CoRR Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
2024	J	`jnl`	Tackling the curse of dimensionality with physics-informed neural networks. Neural Networks Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi
2024	J	`jnl`	Tensor neural networks for high-dimensional Fokker-Planck equations. CoRR Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
2023	J	`jnl`	Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. Eng. Appl. Artif. Intell. Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2023	J	`jnl`	Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. CoRR Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi
2023	A*	`conf`	D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
2023	J	`jnl`	D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
2023	J	`jnl`	Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks. CoRR Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi
2023	J	`jnl`	Tackling the Curse of Dimensionality with Physics-Informed Neural Networks. CoRR Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi
2022	J	`jnl`	Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. CoRR Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2022	J	`jnl`	When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? SIAM J. Sci. Comput. Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2021	J	`jnl`	When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? CoRR Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2020	A*	`conf`	ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee
2020	J	`jnl`	ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee