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Xinling Yu
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2020 – today
- 2024
- [i9]Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu
, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang:
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training. CoRR abs/2401.00413 (2024) - [i8]Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang:
Separable Operator Networks. CoRR abs/2407.11253 (2024) - [i7]Yiwei Peng, Sean Hooten, Xinling Yu, Thomas Van Vaerenbergh, Yuan Yuan, Xian Xiao, Bassem Tossoun, Stanley Cheung, Marco Fiorentino, Raymond G. Beausoleil:
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture. CoRR abs/2408.08407 (2024) - 2023
- [c1]Ziyue Liu
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. DAC 2023: 1-6 - [i6]Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks. CoRR abs/2302.11883 (2023) - [i5]Ziyue Liu
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. CoRR abs/2302.12949 (2023) - [i4]Yequan Zhao, Xinling Yu, Zhixiong Chen, Ziyue Liu
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks. CoRR abs/2308.09858 (2023) - 2022
- [j1]Sifan Wang, Xinling Yu
When and why PINNs fail to train: A neural tangent kernel perspective. J. Comput. Phys. 449: 110768 (2022) - [i3]Ziyue Liu
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing. CoRR abs/2207.01751 (2022) - [i2]Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks. CoRR abs/2210.12584 (2022) - 2020
- [i1]Sifan Wang, Xinling Yu
When and why PINNs fail to train: A neural tangent kernel perspective. CoRR abs/2007.14527 (2020)
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