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 8 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2025

Enhanced Operator Learning for Scalable and Ultra-fast Thermal Simulation in 3D-IC Design.

[BibT_eX]

[DOI]

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Separable Operator Networks.

[BibT_eX]

[DOI]

Thomas Van Vaerenbergh

Zheng Zhang

CoRR, 2024

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

[BibT_eX]

[DOI]

Raymond G. Beausoleil

Zheng Zhang

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Xinling Yu

José Enrique Cruz Serrallés

Ilias I. Giannakopoulos

CoRR, 2023

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

Xinling Yu

José Enrique Cruz Serrallés

Ilias I. Giannakopoulos

CoRR, 2022

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

[BibT_eX]

[DOI]

Ziyue Liu

Xinling Yu

Zheng Zhang

CoRR, 2022

Ziyue Liu

Timeline

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Bibliography

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