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2020 – today
- 2025
[j2]Jianfeng Ning, Jun Zou
:
Constructing probing functions for direct sampling methods for inverse scattering problems with limited-aperture data: Finite space framework and deep probing network. J. Comput. Phys. 528: 113820 (2025)- [j1]Jianfeng Ning, Fuqun Han, Jun Zou:
A Direct Sampling Method and Its Integration with Deep Learning for Inverse Scattering Problems with Phaseless Data. SIAM J. Sci. Comput. 47(2): 343- (2025) - 2024
- [i5]Jianfeng Ning, Fuqun Han, Jun Zou:
A Direct Sampling Method and Its Integration with Deep Learning for Inverse Scattering Problems with Phaseless Data. CoRR abs/2403.02584 (2024) - [i4]Jianfeng Ning, Jun Zou:
Constructing probing functions for direct sampling methods for inverse scattering problems with limited-aperture data: finite space framework and deep probing network. CoRR abs/2410.05098 (2024) - 2023
- [i3]Jianfeng Ning, Fuqun Han, Jun Zou:
A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems. CoRR abs/2305.00250 (2023) - [i2]Derick Nganyu Tanyu, Jianfeng Ning, Andreas Hauptmann, Bangti Jin, Peter Maass:
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches. CoRR abs/2310.18636 (2023) - 2022
- [i1]Derick Nganyu Tanyu, Jianfeng Ning, Tom Freudenberg, Nick Heilenkötter, Andreas Rademacher, Uwe Iben, Peter Maass:
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems. CoRR abs/2212.03130 (2022)
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