Guofei Pang

19 papers Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
fPICRNNs: fractional physics-informed convolutional-recurrent neural networks for solving fractional order partial differential equations.
Neurocomputing
Yibin Xu, Yanqin Liu, Yong Zhang, Guofei Pang, Hongguang Sun
2025 J jnl
Convolutional-neural-operator-based transfer learning for solving PDEs.
CoRR
Peng Fan, Guofei Pang
2022 J jnl
On numerical methods to second-order singular initial value problems with additive white noise.
J. Comput. Appl. Math.
Nan Deng, Wanrong Cao, Guofei Pang
2021 J jnl
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.
Nat. Mach. Intell.
Lu Lu, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, George Em Karniadakis
2020 — conf
Nonlocal Physics-Informed Neural Networks - A Unified Theoretical and Computational Framework for Nonlocal Models.
AAAI Spring Symposium: MLPS
Marta D'Elia, George E. Karniadakis, Guofei Pang, Michael L. Parks
2020 J jnl
Solving fractional Laplacian visco-acoustic wave equations on complex-geometry domains using Grünwald-formula based radial basis collocation method.
Comput. Math. Appl.
Yiran Xu, Jingye Li, Xiaohong Chen, Guofei Pang
2020 J jnl
What is the fractional Laplacian? A comparative review with new results.
J. Comput. Phys.
Anna Lischke, Guofei Pang, Mamikon A. Gulian, Fangying Song, Christian Glusa, Xiaoning Zheng, Zhiping Mao, Wei Cai, Mark M. Meerschaert, Mark Ainsworth, George Em Karniadakis
2020 J jnl
nPINNs: Nonlocal physics-informed neural networks for a parametrized nonlocal universal Laplacian operator. Algorithms and applications.
J. Comput. Phys.
Guofei Pang, Marta D'Elia, Michael L. Parks, George E. Karniadakis
2020 J jnl
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications.
CoRR
Guofei Pang, Marta D'Elia, Michael L. Parks, George E. Karniadakis
2019 J jnl
Neural-net-induced Gaussian process regression for function approximation and PDE solution.
J. Comput. Phys.
Guofei Pang, Liu Yang, George E. Karniadakis
2019 J jnl
fPINNs: Fractional Physics-Informed Neural Networks.
SIAM J. Sci. Comput.
Guofei Pang, Lu Lu, George Em Karniadakis
2018 J jnl
Neural-net-induced Gaussian process regression for function approximation and PDE solution.
CoRR
Guofei Pang, Liu Yang, George E. Karniadakis
2018 J jnl
Radial basis function collocation method for decoupled fractional Laplacian wave equations.
CoRR
Yiran Xu, Jingye Li, Guofei Pang, Zhikai Wang, Xiaohong Chen
2017 J jnl
A fast semi-discrete Kansa method to solve the two-dimensional spatiotemporal fractional diffusion equation.
J. Comput. Phys.
Hongguang Sun, Xiaoting Liu, Yong Zhang, Guofei Pang, Rhiannon Garrard
2017 J jnl
Discovering variable fractional orders of advection-dispersion equations from field data using multi-fidelity Bayesian optimization.
J. Comput. Phys.
Guofei Pang, Paris Perdikaris, Wei Cai, George E. Karniadakis
2016 J jnl
A new definition of fractional Laplacian with application to modeling three-dimensional nonlocal heat conduction.
J. Comput. Phys.
Wen Chen, Guofei Pang
2016 J jnl
Singular boundary method for acoustic eigenanalysis.
Comput. Math. Appl.
Weiwei Li, Wen Chen, Guofei Pang
2015 J jnl
Space-fractional advection-dispersion equations by the Kansa method.
J. Comput. Phys.
Guofei Pang, Wen Chen, Zhuo-Jia Fu
2013 J jnl
Gauss-Jacobi-type quadrature rules for fractional directional integrals.
Comput. Math. Appl.
Guofei Pang, Wen Chen, Kam-Yim Sze