Xinling Yu

20 papers A* 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province.
Frontiers Big Data
Xiaoxiao Du, Haomiao Yu, Hao Zhang, Xiangyun Liu, Xinling Yu, Tao Xie, Wenli Diao
2025 J jnl
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design.
CoRR
Xinling Yu, Ziyue Liu, Hai Li, Yixing Li, Xin Ai, Zhiyu Zeng, Ian A. Young, Zheng Zhang
2025 — conf
Enhanced Operator Learning for Scalable and Ultra-fast Thermal Simulation in 3D-IC Design.
ASP-DAC
Xinling Yu, Ziyue Liu, Hai Li, Ian A. Young, Zheng Zhang
2025 — conf
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training.
OFC
Yequan Zhao, Xian Xiao, Antoine Descos, Yuan Yuan, Xinling Yu, Geza Kurczveil, Marco Fiorentino, Zheng Zhang, Raymond G. Beausoleil
2025 J jnl
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training.
CoRR
Yequan Zhao, Xian Xiao, Antoine Descos, Yuan Yuan, Xinling Yu, Geza Kurczveil, Marco Fiorentino, Zheng Zhang, Raymond G. Beausoleil
2025 J jnl
KANO: Kolmogorov-Arnold Neural Operator.
CoRR
Jin Lee, Ziming Liu, Xinling Yu, Yixuan Wang, Haewon Jeong, Murphy Yuezhen Niu, Zheng Zhang
2025 — conf
Photonic KAN: a Kolmogorov-Arnold Network Inspired Efficient Neuromorphic Accelerator.
OFC
Yiwei Peng, Sean Hooten, Xinling Yu, Thomas Van Vaerenbergh, Yuan Yuan, Xian Xiao, Bassem Tossoun, Stanley Cheung, Marco Fiorentino, Raymond G. Beausoleil
2025 J jnl
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks.
CoRR
Yequan Zhao, Xinling Yu, Xian Xiao, Zhixiong Chen, Ziyue Liu, Geza Kurczveil, Raymond G. Beausoleil, Sijia Liu, Zheng Zhang
2024 J jnl
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture.
CoRR
Yiwei Peng, Sean Hooten, Xinling Yu, Thomas Van Vaerenbergh, Yuan Yuan, Xian Xiao, Bassem Tossoun, Stanley Cheung, Marco Fiorentino, Raymond G. Beausoleil
2024 J jnl
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training.
CoRR
Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang
2024 J jnl
Separable Operator Networks.
CoRR
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
2024 J jnl
Separable Operator Networks.
Trans. Mach. Learn. Res.
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
2023 A* conf
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design.
DAC
Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang
2023 J jnl
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design.
CoRR
Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang
2023 J jnl
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks.
CoRR
Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
2023 J jnl
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks.
CoRR
Yequan Zhao, Xinling Yu, Zhixiong Chen, Ziyue Liu, Sijia Liu, Zheng Zhang
2022 J jnl
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks.
CoRR
Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
2022 J jnl
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing.
CoRR
Ziyue Liu, Xinling Yu, Zheng Zhang
2022 J jnl
When and why PINNs fail to train: A neural tangent kernel perspective.
J. Comput. Phys.
Sifan Wang, Xinling Yu, Paris Perdikaris
2020 J jnl
When and why PINNs fail to train: A neural tangent kernel perspective.
CoRR
Sifan Wang, Xinling Yu, Paris Perdikaris