TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing. - Ziyue Liu 003; Xinling Yu; Zheng Zhang 005 (CoRR, 2022)

MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks. - Xinling Yu; José Enrique Cruz Serrallés; Ilias I. Giannakopoulos; Ziyue Liu 003; Luca Daniel; Riccardo Lattanzi; Zheng Zhang 005 (CoRR, 2022)

DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. - Ziyue Liu 003; Yixing Li; Jing Hu; Xinling Yu; Shinyu Shiau; Xin Ai 007; Zhiyu Zeng; Zheng Zhang 005 (DAC, 2023)

PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks. - Xinling Yu; José Enrique Cruz Serrallés; Ilias I. Giannakopoulos; Ziyue Liu 003; Luca Daniel; Riccardo Lattanzi; Zheng Zhang 005 (CoRR, 2023)

Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks. - Yequan Zhao; Xinling Yu; Zhixiong Chen 004; Ziyue Liu 003; Sijia Liu 001; Zheng Zhang 005 (CoRR, 2023)

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training. - Yequan Zhao; Xian Xiao; Xinling Yu; Ziyue Liu 003; Zhixiong Chen 004; Geza Kurczveil; Raymond G. Beausoleil; Zheng Zhang 005 (CoRR, 2024)

Separable Operator Networks. - Xinling Yu; Sean Hooten; Ziyue Liu 003; Yequan Zhao; Marco Fiorentino; Thomas Van Vaerenbergh; Zheng Zhang 005 (Trans. Mach. Learn. Res., 2024)

Enhanced Operator Learning for Scalable and Ultra-fast Thermal Simulation in 3D-IC Design. - Xinling Yu; Ziyue Liu 003; Hai Li 008; Ian A. Young; Zheng Zhang 005 (ASP-DAC, 2025)

QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models. - Jiajun Zhou; Yifan Yang; Kai Zhen; Ziyue Liu 003; Yequan Zhao; Ershad Banijamali; Athanasios Mouchtaris; Ngai Wong 001; Zheng Zhang 005 (CoRR, 2025)

Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks. - Yequan Zhao; Xinling Yu; Xian Xiao; Zhixiong Chen 004; Ziyue Liu 003; Geza Kurczveil; Raymond G. Beausoleil; Sijia Liu 001; Zheng Zhang 005 (CoRR, 2025)

DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design. - Xinling Yu; Ziyue Liu 003; Hai Li 008; Yixing Li; Xin Ai 007; Zhiyu Zeng; Ian A. Young; Zheng Zhang 005 (CoRR, 2025)