Xusheng Cai

ORCID: 0009-0001-6066-9617
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About
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Research Areas
  • Random lasers and scattering media
  • Metamaterials and Metasurfaces Applications
  • Mobile Crowdsensing and Crowdsourcing
  • Privacy-Preserving Technologies in Data
  • Optical Wireless Communication Technologies
  • Advanced Antenna and Metasurface Technologies
  • Photonic Crystals and Applications
  • Photonic and Optical Devices
  • Advanced Memory and Neural Computing
  • Photoreceptor and optogenetics research
  • Optical Coatings and Gratings
  • Blockchain Technology Applications and Security
  • Optical and Acousto-Optic Technologies
  • Auction Theory and Applications
  • Neural Networks and Reservoir Computing

Zhejiang Normal University
2020-2023

Tsinghua University
2020-2022

Spectral imaging paves the way for various fields, particularly in biomedical research. However, spectral imaging, mainly depending on spatial or temporal scanning, cannot achieve high temporal, spatial, and resolution simultaneously. In this study, we demonstrated a silicon real-time ultraspectral chip based reconfigurable metasurfaces, comprising 155,216 ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>356</mml:mn>...

10.1364/optica.440013 article EN cc-by Optica 2022-03-21

Abstract Metasurfaces have an exceptional capacity to manipulate the phase, amplitude, polarization, or spectrum of light. However, unit cells, meta‐atoms, metasurfaces are conventionally designed using regular shapes, limiting performance improvement. The utilization with freeform shaped meta‐atoms for on‐chip ultraspectral imaging is proposed, where patterns generated controllable feature sizes and boundary curvatures feasible fabrication. These broaden design diversity enrich...

10.1002/lpor.202100663 article EN cc-by-nc-nd Laser & Photonics Review 2022-05-20

Optical neural networks are considered next-generation physical implementations of artificial networks, but their capabilities limited by on-chip integration scale and requirement for coherent light sources. This study proposes a spectral convolutional network (SCNN) with matter meta-imaging. The optical layer is implemented integrating very large-scale pixel-aligned filters on CMOS image sensor. It facilitates highly parallel vector-inner products incident incoherent natural i.e., the...

10.1038/s41467-024-55558-3 article EN cc-by-nc-nd Nature Communications 2025-01-02

In recent years, mobile crowdsensing has emerged as a key technology for digital city construction, which acquires sensing data and mining values with low cost high flexibility. However, limited by the centrality of system, complexity process, uncertainty users, been severely suffering downgrading problems security reliability quality service (QoS). this study, two-stage game involving blockchain technique is proposed to deal QoS in crowdsensing. First, blockchain-based system dual currency...

10.1109/jsyst.2023.3333399 article EN IEEE Systems Journal 2023-12-05

On-Chip Ultraspectral Imaging In article number 2100663, Jiawei Yang, Kaiyu Cui, Yidong Huang and colleagues demonstrate a snapshot on-chip ultraspectral imager based on freeform metasurfaces with both high spatial resolution of 356 × 436 spectral 0.5 nm, which will provide new paradigm for future intellisense. The shaped meta-atoms are generated proposed general method could be utilized in forward or inverse design other novel metasurfaces.

10.1002/lpor.202270035 article EN Laser & Photonics Review 2022-07-01

We proposed an ultracompact on-chip spectrometer based on high-index-contrast grating. Simulation results show that, optical spectra are reconstructed with resolution as high 2 nm and a compact footprint of only 60 μm ×48 μm.

10.1364/acpc.2020.m4a.36 article EN 2020-01-01
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