| When and why PINNs fail to train: A neural tangent kernel perspective S Wang, X Yu, P Perdikaris Journal of Computational Physics 449, 110768, 2022 | 1059 | 2022 |
| DeepOHeat: operator learning-based ultra-fast thermal simulation in 3D-IC design Z Liu, Y Li, J Hu, X Yu, S Shiau, X Ai, Z Zeng, Z Zhang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 22 | 2023 |
| Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks Y Zhao*, X Yu*, Z Chen, Z Liu, S Liu, Z Zhang arXiv preprint arXiv:2308.09858, 2023 | 11 | 2023 |
| PIFON-EPT: Mr-based electrical property tomography using physics-informed fourier networks X Yu, JEC Serrallés, II Giannakopoulos, Z Liu, L Daniel, R Lattanzi, ... IEEE journal on multiscale and multiphysics computational techniques 9, 49-60, 2023 | 10 | 2023 |
| TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing Z Liu*, X Yu*, Z Zhang Hardware-Aware Efficient Training at ICML 2022, 2022 | 7 | 2022 |
| Separable operator networks X Yu, S Hooten, Z Liu, Y Zhao, M Fiorentino, T Van Vaerenbergh, Z Zhang Transactions on Machine Learning Research, 2024 | 5 | 2024 |
| MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks X Yu, JEC Serrallés, II Giannakopoulos, Z Liu, L Daniel, R Lattanzi, ... QMR Lucca workshop on MR Phase, Magnetic Susceptibility and Electrical …, 2022 | 2 | 2022 |
| Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture Y Peng, S Hooten, X Yu, T Van Vaerenbergh, Y Yuan, X Xiao, B Tossoun, ... arXiv preprint arXiv:2408.08407, 2024 | 1 | 2024 |
| Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training Y Zhao, X Xiao, X Yu, Z Liu, Z Chen, G Kurczveil, RG Beausoleil, Z Zhang Machine Learning with New Compute Paradigms at NeurIPS 2023, 2023 | 1 | 2023 |
| SepONet: Efficient Large-Scale Physics-Informed Operator Learning X Yu, S Hooten, Z Liu, Y Zhao, M Fiorentino, T Van Vaerenbergh, Z Zhang NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations …, 0 | 1 | |
| Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Y Zhao, X Yu, X Xiao, Z Chen, Z Liu, G Kurczveil, RG Beausoleil, S Liu, ... arXiv preprint arXiv:2502.12384, 2025 | | 2025 |
| Enhanced Operator Learning for Scalable and Ultra-fast Thermal Simulation in 3D-IC Design X Yu, Z Liu, H Li, I Young, Z Zhang Proceedings of the 30th Asia and South Pacific Design Automation Conference …, 2025 | | 2025 |
| Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training Y Zhao, X Xiao, A Descos, Y Yuan, X Yu, G Kurczveil, M Fiorentino, ... arXiv preprint arXiv:2501.00742, 2025 | | 2025 |
| Electrical Property Mapping using Vision Transformers and Canny Edge Detection I Giannakopoulos, X Yu, G Carluccio, G Koerzdoerfer, K Lakshmanan, ... ISMRM Annual Meeting in Singapore, 2024 | | 2024 |
Ziyue LiuPh.D. Student at CS UCSBE-mail confirmado em ucsb.edu