Ziyue Liu

According to our database, Ziyue Liu authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization.

Yupeng Su, Ruijie Zhang, Ziyue Liu, Yequan Zhao, Zheng Zhang

CoRR, May, 2026

Muon²: Boosting Muon via Adaptive Second-Moment Preconditioning.

Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Yequan Zhao, Yupeng Su, Zi Yang, Zheng Zhang

CoRR, April, 2026

TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training.

Ruijie Zhang, Yequan Zhao, Ziyue Liu, Zhengyang Wang, Dongyang Li, Yupeng Su, Sijia Liu, Zheng Zhang

CoRR, January, 2026

2025

DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design.

Xinling Yu, Ziyue Liu, Hai Li, Yixing Li, Xin Ai, Zhiyu Zeng, Ian A. Young, Zheng Zhang

CoRR, April, 2025

Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks.

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

CoRR, February, 2025

QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models.

Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Xinling Yu, Ziyue Liu, Hai Li, Ian A. Young, Zheng Zhang

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

2024

Separable Operator Networks.

Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang

Trans. Mach. Learn. Res., 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

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