Xinling Yu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Multi Layer Neural Network

Levenberg Marquardt

Top Venues

J. Comput. Phys.

Publications

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 (2024)
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
Separable Operator Networks. CoRR (2024)
Yequan Zhao, Xinling Yu, Zhixiong Chen, Ziyue Liu, Sijia Liu, Zheng Zhang
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks. CoRR (2023)
Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. DAC (2023)
Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. CoRR (2023)
Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks. CoRR (2023)
Sifan Wang, Xinling Yu, Paris Perdikaris
When and why PINNs fail to train: A neural tangent kernel perspective. J. Comput. Phys. 449 (2022)
Ziyue Liu, Xinling Yu, Zheng Zhang
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing. CoRR (2022)
Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks. CoRR (2022)
Sifan Wang, Xinling Yu, Paris Perdikaris
When and why PINNs fail to train: A neural tangent kernel perspective. CoRR (2020)