1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.optics2026
Meta-Optics-Based Diffractive Learning Machine for Angle-Multiplexed Multi-Task Processing
Mingcheng Luo, Jianmin Xiong, Jiayong Peng +4
All-optical diffractive neural networks (DNNs) offer low latency, low energy consumption, and massive parallelism. However, their scalability in terms of network scale and multi-ta…
physics.optics2025
Large-scale artificial intelligence with 41 million nanophotonic neurons on a metasurface
Mingcheng Luo, Meirui Jiang, Bhavin J. Shastri +8
Conventional integrated circuits (ICs) struggle to meet the escalating demands of artificial intelligence (AI). This has sparked a renewed interest in an unconventional computing p…
physics.optics2024★ 1 cited
Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning
Tengji Xu, Weipeng Zhang, Jiawei Zhang +8
Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging on light's unique properties, such as large bandwidth, low latency, and potentially low…