| 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 | 8 | 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 | 6 | 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 ICML Workshop on Hardware-Aware Efficient Training, 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 Xian, X Yu, Z Liu, Z Chen, G Kurczveil, RG Beausoleil, Z Zhang NeuRIPS Workshop on Machine Learning with New Computing Paradigm (MLNCP), 2023 | | 2023 |
Xinling YuUniversity of California, Santa BarbaraVerified email at ucsb.edu
