| 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 | 712 | 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 Design Automation Conference 2023, 2023 | 9 | 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 | 8 | 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, 2023 | 5 | 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 | 4 | 2022 |
| 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 |
| 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 | | 2023 |
Paris PerdikarisAssociate Professor, University of Pennsylvania || Principal Researcher, MSR AI4Science在 seas.upenn.edu 的电子邮件经过验证
