3 citations · 6 across the 9 of their papers we have counts for
8 papers · 1 filter
Hardware Implementation of Photonic Spiking Hash Retrieval
Shangxuan Shi, Shuiying Xiang, Xintao Zeng +5
Hashing retrieval is a pivotal technology for large-scale similarity search, widely applied in retrieval-augmented generation (RAG) for large language models (LLMs), massive image…
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…
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…
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…
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.…
Integrated photonic neuromorphic computing: device, architecture, chip, algorithm
Shuiying Xiang, Chengyang Yu, Yizhi Wang +10
Artificial intelligence (AI) has experienced explosive growth in recent years. The large models have been widely applied in various fields, including natural language processing, i…
Nonlinear Photonic Neuromorphic Chips for Spiking Reinforcement Learning
Shuiying Xiang, Yonghang Chen, Haowen Zhao +8
Photonic computing chips have made significant progress in accelerating linear computations, but nonlinear computations are usually implemented in the digital domain, which introdu…
Photonic Integrated Neuro-Synaptic Core for Convolutional Spiking Neural Network
Shuiying Xiang, Yuechun Shi, Yahui Zhang +14
Neuromorphic photonic computing has emerged as a competitive computing paradigm to overcome the bottlenecks of the von-Neumann architecture. Linear weighting and nonlinear spiking…