Guangyue Shen
Papers
2
Total Citations
4
H-Index
1
About
Guangyue Shen is a pioneering researcher in neuromorphic computing and bio-inspired sensory systems, with a focus on developing hardware that mimics human biological processing for edge applications. His work centers on memristor-based reservoir computing and optically controlled artificial neural networks, aiming to bridge the gap between physical sensing and intelligent computation. Shen’s most notable contribution is the development of near-sensor reservoir computing for Braille recognition using high-stability memristors, which enables efficient dynamic processing of tactile information—a breakthrough for intelligent prosthetics and robotics. This work, published in 2025, has already garnered 3 citations, reflecting its early impact. Additionally, Shen designed a fully optically controlled Li-ion-mediated artificial vision reflection arc system (2024), integrating optical control with ionic mechanisms to create a reflex-like response in artificial systems, advancing the field of neuromorphic vision. His research addresses critical challenges in temporal signal processing and energy-efficient edge computing, positioning him as a rising innovator in the intersection of materials science and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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- 2