5 papers
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-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…
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…