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20242026
most citedPhotonic spiking reinforcement learning for intelligent routing

1 citations · 1 across the 5 of their papers we have counts for

collaborators

9 papers

physics.optics20261 cited

Photonic spiking reinforcement learning for intelligent routing

Shuiying Xiang, Yonghang Chen, Ling Zheng +8

Intelligent routing plays a key role in modern communication infrastructure, including data centers, computing networks, and future 6G networks. Although reinforcement learning (RL…

physics.optics2026

Hardware implementation of photonic neuromorphic autonomous navigation

Yonghang Chen, Shuiying Xiang, Xintao Zeng +7

Reinforcement learning (RL) is a core technology enabling the transition of artificial intelligence (AI) from perception to decision-making, but its deployment on conventional elec…

physics.optics2025

Photonic Spiking Graph Neural Network for Energy-Efficient Structured Data Processing

Wanting Yu, Shuiying Xiang, Xingxing Guo +6

Photonic computing shows great potential for signal processing and artificial intelligence (AI) acceleration due to its ultra-high speed, low energy consumption, and inherent paral…

cs.NE2025

Implementation of high-efficiency, lightweight residual spiking neural network processor based on field-programmable gate arrays

Hou Yue, Xiang Shuiying, Zou Tao +6

With the development of hardware-optimized deployment of spiking neural networks (SNNs), SNN processors based on field-programmable gate arrays (FPGAs) have become a research hotsp…

cs.RO2025

Hardware-Software Collaborative Computing of Photonic Spiking Reinforcement Learning for Robotic Continuous Control

Mengting Yu, Shuiying Xiang, Changjian Xie +6

Robotic continuous control tasks impose stringent demands on the energy efficiency and latency of computing architectures due to their high-dimensional state spaces and real-time i…

physics.optics2025

Hardware-aware Lightweight Photonic Spiking Neural Network for Pattern Classification

Shuiying Xiang, Yahui Zhang, Shangxuan Shi +8

There exists a significant scale gap between photonic neural network integrated chips and neural networks, which hinders the deployment and application of photonic neural network.…