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Ziyue Liu

Orcid: 0000-0001-9538-5350

Affiliations:
  • University of California Santa Barbara, Department of Statistics and Applied Probability, CA, USA


According to our database1, Ziyue Liu authored at least 6 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Ziyue Liu
,
Xinling Yu
,
Zheng Zhang
CoRR, 2022


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