31 citations · 31 across the 2 of their papers we have counts for
3 papers
physics.optics2019
Preliminary study on the modal decomposition of Hermite Gaussian beams via deep learning
Yi An, Tianyue Hou, Jun Li +4
The Hermite-Gaussian (HG) modes make up a complete and orthonormal basis, which have been extensively used to describe optical fields. Here, we demonstrate, for the first time to o…
eess.IV2019★ 31 cited
Deep learning enabled superfast and accurate M^2 evaluation for fiber beams
Yi An, Jun Li, Liangjin Huang +3
We introduce deep learning technique to predict the beam propagation factor M^2 of the laser beams emitting from few-mode fiber for the first time, to the best of our knowledge. Th…
eess.SP2018
Learning to decompose the modes in few-mode fibers with deep convolutional neural network
Yi An, Liangjin Huang, Jun Li +3
We introduce deep learning technique to perform complete mode decomposition for few-mode optical fiber for the first time. Our goal is to learn a fast and accurate mapping from nea…