Shuiying Xiang
Papers
2
Total Citations
21
H-Index
2
About
Shuiying Xiang is a leading researcher at the frontier of photonic neuromorphic computing, where she pioneers the use of light-based systems to emulate biological neural networks. Her work centers on developing ultrafast, energy-efficient photonic spiking neurons and photonic neural networks for real-time intelligent processing. A standout contribution is her 2023 paper on the hardware implementation of ultra-fast obstacle avoidance using a single photonic spiking neuron, which has garnered 19 citations and demonstrates a practical path toward low-power, high-speed perception for mini UAVs and mobile robots. More recently, her 2025 work on photonic neural networks for multimodal recognition introduces a self-activated multiply-accumulate (MAC) function using distributed feedback semiconductor optical amplifiers (DFB-SA), achieving the complex integration of multimodal information with dramatically reduced computational demands. By tackling the energy and speed bottlenecks of traditional microelectronics, Xiang’s innovations are paving the way for next-generation autonomous systems and neuromorphic hardware, making her a key figure in the convergence of optics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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