Advanced Imaging, Volume. 2, Issue 3, 031003(2025)

Compressive single-pixel imaging with low-order nonlinear neural networks

Huaijian Chen, Xiao Wang, Botao Hu, Aiping Fang, Ruifeng Liu*, Pei Zhang*, and Fuli Li
Author Affiliations
  • Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi’an Jiaotong University, Xi’an, China
  • show less
    References(50)

    [30] B. Shi, N. Calabretta, R. Stabile. First demonstration of a two-layer all-optical neural network by using photonic integrated chips and SOAs, 1(2019).

    [37] G. G. Chrysos et al. P-Nets: deep polynomial neural networks, 7325(2020).

    [38] J. Frankle, M. Carbin. The lottery ticket hypothesis: finding sparse, trainable neural networks(2018).

    [40] C. Ding et al. CIRCNN: accelerating and compressing deep neural networks using block-circulant weight matrices, 395(2017).

    Tools

    Get Citation

    Copy Citation Text

    Huaijian Chen, Xiao Wang, Botao Hu, Aiping Fang, Ruifeng Liu, Pei Zhang, Fuli Li, "Compressive single-pixel imaging with low-order nonlinear neural networks," Adv. Imaging 2, 031003 (2025)

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Article

    Received: Apr. 7, 2025

    Accepted: May. 29, 2025

    Published Online: Jun. 30, 2025

    The Author Email: Ruifeng Liu (ruifeng.liu@mail.xjtu.edu.cn), Pei Zhang (zhang.pei@mail.xjtu.edu.cn)

    DOI:10.3788/AI.2025.10007

    Topics