Ziyue Liu

15 papers A* 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training.
CoRR
Ruijie Zhang, Yequan Zhao, Ziyue Liu, Zhengyang Wang, Dongyang Li, Yupeng Su, Sijia Liu, Zheng Zhang
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 A* conf
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models.
EMNLP
Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025 J jnl
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models.
CoRR
Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
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
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