| AOSLO-net: a deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscopy images Q Zhang, K Sampani, M Xu, S Cai, Y Deng, H Li, JK Sun, GE Karniadakis Translational Vision Science & Technology 11 (8), 7-7, 2022 | 15 | 2022 |
| Artificial to spiking neural networks conversion for scientific machine learning Q Zhang, C Wu, A Kahana, Y Kim, Y Li, GE Karniadakis, P Panda arXiv preprint arXiv:2308.16372, 2023 | 10 | 2023 |
| Spiking neural operators for scientific machine learning A Kahana, Q Zhang, L Gleyzer, GE Karniadakis arXiv preprint arXiv:2205.10130, 2022 | 10* | 2022 |
| Sms: Spiking marching scheme for efficient long time integration of differential equations Q Zhang, A Kahana, GE Karniadakis, P Stinis Journal of Computational Physics 516, 113363, 2024 | 6 | 2024 |
| Numerical boundary treatment for shock propagation in the fractional KdV-Burgers equation X Guan, Q Zhang, S Tang Computational Mechanics, 1-12, 2022 | 3 | 2022 |
| Stable heat jet approach for temperature control of Fermi–Pasta–Ulam beta chain B Liu, Q Zhang, S Tang Theoretical and Applied Mechanics Letters 11 (1), 100226, 2021 | 2 | 2021 |
| Spiking Physics-Informed Neural Networks on Loihi 2 BH Theilman, Q Zhang, A Kahana, EC Cyr, N Trask, JB Aimone, ... 2024 Neuro Inspired Computational Elements Conference (NICE), 1-6, 2024 | | 2024 |
| DESIGNING ARTIFICIAL BOUNDARY CONDITIONS FOR ATOMIC CHAINS BY MACHINE LEARNING 1) Z Qian, Q Dan, T Shaoqiang Mechanics in Engineering 42 (1), 13-16, 2020 | | 2020 |
