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Qian Zhang
Qian Zhang
Division of Applied Mathematics, Brown University
Verified email at brown.edu
Title
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Cited by
Year
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
262022
Spiking neural operators for scientific machine learning
A Kahana, Q Zhang, L Gleyzer, GE Karniadakis
arXiv preprint arXiv:2205.10130, 2022
16*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
132023
Sms: Spiking marching scheme for efficient long time integration of differential equations
Q Zhang, A Kahana, GE Karniadakis, P Stinis
arXiv preprint arXiv:2211.09928, 2022
102022
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
32024
Numerical boundary treatment for shock propagation in the fractional KdV-Burgers equation
X Guan, Q Zhang, S Tang
Computational Mechanics, 1-12, 2022
32022
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
22021
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
Q Zhang, D Krotov, GE Karniadakis
arXiv preprint arXiv:2501.08339, 2025
12025
Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
R Wan, Q Zhang, GE Karniadakis
arXiv preprint arXiv:2411.07057, 2024
12024
Operator Learning for Reconstruction Problems: An Energy Transformer Approach with Applications in Fluid Mechanics
Q Zhang, G Karniadakis
APS Division of Fluid Dynamics Meeting Abstracts, C02. 009, 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
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Articles 1–11