Xinling Yu

According to our database, Xinling Yu authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training.

Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang

CoRR, 2024

2023

Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks.

Yequan Zhao, Xinling Yu, Zhixiong Chen, Ziyue Liu, Sijia Liu, Zheng Zhang

CoRR, 2023

PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks.

Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang

CoRR, 2023

DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design.

Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

When and why PINNs fail to train: A neural tangent kernel perspective.

Sifan Wang, Xinling Yu, Paris Perdikaris

J. Comput. Phys., 2022

MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks.

Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang

CoRR, 2022

TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing.

Ziyue Liu, Xinling Yu, Zheng Zhang

CoRR, 2022