169 citations · 306 across the 11 of their papers we have counts for
13 papers
Calibration-Free Broadband Reconstructive Spectrometer based on Conical Phase Modulation
Junrui Liang, Zhongming Huang, Yanting Guo +6
Reconstructive spectrometers (RSs) shift spectral analysis from hardware-heavy dispersion to encoding-decoding schemes. In the speckle-based RSs, spectra are encoded into disordere…
Quantitative spin-orbit engineering enables subwavelength-scale programmable polarization states for versatile photonic functionalities
Shuaijie Yuan, Xuefeng Zhang, Jin Yang +7
Precise and programmable control of optical polarization provides a versatile vectorial degree of freedom for light-matter interaction and optical information encoding. Existing po…
Femtosecond low-threshold all-optical switching enabled by giant broadband optical nonlinearity from heteroatom doping
Xuefeng Zhang, Zhongquan Nie, Jinhai Zou +9
Ultrafast all-optical switching (AOS) is pivotal for advancing integrated photonic devices, from high-speed photonic information processing to next generation all-optical computing…
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…
3 kW passive-gain-enabled metalized Raman fiber amplifier based on passive gain
Yizhu Chen, Tianfu Yao, Hu Xiao +2
Raman fiber lasers (RFLs) are currently promising and versatile light sources for a variety of applications. So far, operations of high power and brightness-enhanced RFLs have abso…
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…
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…
Pure passive fiber enabled highly efficient Raman fiber amplifier with record kilowatt power
Yizhu Chen, Jinyong Leng, Hu Xiao +2
Kilowatt-level high efficiency all-fiberized Raman fiber amplifier based on pure passive fiber is proposed for the first time in this paper. The laser system is established on mast…
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…
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…
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…
High power highly stable passively Q-switched fiber laser based on monolayer graphene
Hanshuo Wu, Jiaxin Song, Jian Wu +4
We demonstrate a monolayer graphene based passively Q-switched fiber laser with three-stage amplifiers that can deliver over 80 W average power at 1064 nm. The highest average powe…
Incoherently pumped high-power linearly-polarized single-mode random fiber laser: experimental investigations and theoretical prospects
Jiangming Xu, Zhaokai Lou, Jun Ye +5
We present a hundred-watt-level linearly-polarized random fiber laser (RFL) pumped by incoherent broadband amplified spontaneous emission (ASE) source and prospect the power scalin…