9 citations · 13 across the 5 of their papers we have counts for
6 papers
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…
Real-Time Dynamic Crosstalk Tracking and Compensation via Photonic Blind Source Separation
Dongliang Wang, Yikun Nie, Dingqian Zhao +4
Space-division multiplexing in few-mode fibers can substantially increase optical-link capacity, but its practical deployment is hindered by dynamically varying inter-modal crossta…
Beyond Terabit/s Integrated Neuromorphic Photonic Processor for DSP-Free Optical Interconnects
Benshan Wang, Qiarong Xiao, Tengji Xu +5
The rapid expansion of generative AI drives unprecedented demands for high-performance computing. Training large-scale AI models now requires vast interconnected GPU clusters acros…
Perfecting Imperfect Physical Neural Networks with Transferable Robustness using Sharpness-Aware Training
Tengji Xu, Zeyu Luo, Shaojie Liu +5
AI models are essential in science and engineering, but recent advances are pushing the limits of traditional digital hardware. To address these limitations, physical neural networ…
High-precision programming of large-scale ring resonator circuits with minimal pre-calibration
Shaojie Liu, Tengji Xu, Benshan Wang +3
Microring resonators (MRRs) are essential components in large-scale photonic integrated circuits (PICs), but programming these circuits with high precision and efficiency remains a…
A 103-TOPS/mm Integrated Photonic Computing Engine Enabling Next-Generation Reservoir Computing
Dongliang Wang, Yikun Nie, Gaolei Hu +2
Reservoir computing (RC) is a leading machine learning algorithm for information processing due to its rich expressiveness. A new RC paradigm has recently emerged, showcasing super…