Ying Zhu

Collaborative Innovation Center of Advanced Microstructures, Nanjing University

Papers

Total Citations

219

H-Index

About

Ying Zhu is a leading researcher at the forefront of neuromorphic engineering, where she pioneers brain-inspired hardware for next-generation computing and artificial perception. Her work centers on developing novel memristive devices and photoelectric spiking neurons that mimic the biological nervous system’s ability to process sensory information with exceptional energy efficiency. Zhu’s most impactful contribution is her 2022 paper on a photoelectric spiking neuron for visual depth perception, which has garnered 138 citations for demonstrating how optical information can be directly encoded into neural-like spikes—a breakthrough that could enable ultra-low-power computer vision. She has also authored influential reviews on emerging neuromorphic computing and perception devices (49 citations) and memristive devices for brain-inspired computing (19 citations), establishing her as a key voice in the field. Her recent work on multifunctional laser-induced graphene for flexible artificial sensory neurons (13 citations) pushes boundaries further by integrating sensing and computing into soft, wearable platforms. Through these achievements, Zhu is helping to realize a future where machines perceive and process information as efficiently as living organisms.