Yongli He

Collaborative Innovation Center of Advanced Microstructures

Papers

Total Citations

235

H-Index

About

Yongli He is pioneering the intersection of neuromorphic engineering and photoelectric sensing, with a focus on creating brain-inspired devices that process visual information with exceptional efficiency. His most influential work, "A Photoelectric Spiking Neuron for Visual Depth Perception" (2022, 138 citations), introduces a device that mimics the biological visual system's ability to encode optical information into spikes, enabling energy-efficient depth perception—a breakthrough for autonomous systems and robotics. He has also contributed a comprehensive review on emerging neuromorphic computing and perception devices (2021, 49 citations), mapping the field's trajectory from computing to sensing. Notably, his research on Indium‐Gallium‐Zinc‐Oxide based photoelectric neuromorphic transistors (2021, 48 citations) emulates the corneal nociceptor's response to noxious light, including pain-modulation mechanisms, opening new avenues for bio-inspired sensory systems. With over 200 citations across his key works, He's contributions are shaping the future of low-power, intelligent perception systems, bridging the gap between biological neural processing and artificial hardware.