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20172026
most citedLensless speckle reconstructive spectrometer via physics-aware neural network

1 citations · 1 across the 4 of their papers we have counts for

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physics.optics2026

Temporal Beam Self-Cleaning in Second-Harmonic Generation

Siyu Chen, Jun Ye, Lei Du +5

The spatial-temporal beam quality of laser sources is crucial for applications such as nonlinear spectroscopy and master oscillator power amplification systems. However, the tempor…

physics.optics20241 cited

Lensless speckle reconstructive spectrometer via physics-aware neural network

Junrui Liang, Min Jiang, Zhongming Huang +8

The speckle field yielded by disordered media is extensively employed for spectral measurements. Existing speckle reconstructive spectrometers (RSs) implemented by neural networks…

physics.optics2018

First demonstration of temperature control enabled high power mode-switchable fiber laser

Jiaxin Song, Haiyang Xu, Hanshuo Wu +3

A transverse mode-switching method was proposed and demonstrated in a high-power ytterbium-doped fiber oscillator. 17.8 W LP11 mode laser was obtained, and it could be switched to…

physics.optics2018

Optical rogue wave in random distributed feedback fiber laser

Jiangming Xu, Jian Wu, Jun Ye +4

The famous demonstration of optical rogue wave (RW)-rarely and unexpectedly event with extremely high intensity-had opened a flourishing time for temporal statistic investigation a…

physics.optics2017

Spectral adjustment of a powerful random fiber laser

Jun Ye, Jiangming Xu, Hanshuo Wu +4

Random fiber laser (RFL) based on random distributed feedback and Raman gain has earned much attention in recent years. In this presentation, we demonstrate a powerful linearly pol…

physics.optics2017

Self-started stable pulsing operation of random fiber laser

Jiangming Xu, Jun Ye, Hanwei Zhang +5

Unlike traditional fiber laser with defined resonant cavity, random fiber laser (RFL), whose operation is based on distributed gain and feedback via Rayleigh scattering and stimula…