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Kun Li 0004

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affiliation: University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China

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Journal Articles

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2023
[j5]
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  - journals/jcam/He0L023
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Xiao-Feng He, Liang Li, Stéphane Lanteri, Kun Li:
Model order reduction for parameterized electromagnetic problems using matrix decomposition and deep neural networks. J. Comput. Appl. Math. 431: 115271 (2023)
2021
[j4]
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  - journals/jscic/LiHLL21
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Kun Li, Ting-Zhu Huang, Liang Li, Stéphane Lanteri:
Non-Intrusive Reduced-Order Modeling of Parameterized Electromagnetic Scattering Problems using Cubic Spline Interpolation. J. Sci. Comput. 87(2): 52 (2021)
2019
[j3]
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Kun Li, Ting-Zhu Huang, Liang Li, Stéphane Lanteri:
A reduced-order discontinuous Galerkin method based on a Krylov subspace technique in nanophotonics. Appl. Math. Comput. 358: 128-145 (2019)
[j2]
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Kun Li, Ting-Zhu Huang, Liang Li, Stéphane Lanteri:
POD-based model order reduction with an adaptive snapshot selection for a discontinuous Galerkin approximation of the time-domain Maxwell's equations. J. Comput. Phys. 396: 106-128 (2019)
2018
[j1]
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Kun Li, Ting-Zhu Huang, Liang Li, Stéphane Lanteri:
A reduced-order DG formulation based on POD method for the time-domain Maxwell's equations in dispersive media. J. Comput. Appl. Math. 336: 249-266 (2018)

Informal and Other Publications

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2022
[i1]
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  - journals/corr/abs-2207-07811
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Xiao-Feng He, Liang Li, Stéphane Lanteri, Kun Li:
Model order reduction for parameterized electromagnetic problems using matrix decomposition and deep neural networks. CoRR abs/2207.07811 (2022)

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