5 citations · 9 across the 6 of their papers we have counts for
6 papers
Programmable electro-optic frequency comb empowers integrated parallel convolution processing
Jinze He, Junzhe Qiang, Yiying Dong +11
Integrated photonic convolution processors make optical neural networks (ONNs) a transformative solution for artificial intelligence applications such as machine vision. To enhance…
Scalable multilayer diffractive neural network with all-optical nonlinear activation
Yiying Dong, Bohan Zhang, Ruiqi Liang +7
All-optical diffractive neural networks (DNNs) offer a promising alternative to electronics-based neural network processing due to their low latency, high throughput, and inherent…
Computational metaoptics for imaging
Charles Roques-Carmes, Kai Wang, Yuanmu Yang +2
Metasurfaces -- ultrathin structures composed of subwavelength optical elements -- have revolutionized light manipulation by enabling precise control over electromagnetic waves' am…
Metasurface-generated large and arbitrary analog convolution kernels for accelerated machine vision
Ruiqi Liang, Shuai Wang, Yiying Dong +4
In the rapidly evolving field of artificial intelligence, convolutional neural networks are essential for tackling complex challenges such as machine vision and medical diagnosis.…
Polarization-entangled photon pair generation from an epsilon-near-zero metasurface
Wenhe Jia, Grégoire Saerens, Ülle-Linda Talts +5
Polarization-entangled photon pair sources are essential for diverse quantum technologies, such as quantum communication, computation, and imaging. However, the generation of compl…
Single-shot deterministic complex amplitude imaging with a single-layer metalens
Liu Li, Shuai Wang, Feng Zhao +7
Conventional imaging systems can only capture light intensity. Meanwhile, the lost phase information may be critical for a variety of applications such as label-free microscopy and…