Jiaxue Zhu

Chinese Academy of Sciences

Papers

4

Total Citations

233

H-Index

4

About

Jiaxue Zhu is pioneering the hardware foundation for next-generation neuromorphic intelligence, with a focus on bioinspired sensory systems and neural circuits. Her research centers on developing memristive and heterogeneously integrated devices that emulate biological sensing and neural computation—from cochleas for speech processing to spiking neuron arrays for multimodal perception. Zhu’s most impactful work, a heterogeneously integrated spiking neuron array for multimode-fused perception and object classification (165 citations), demonstrates how hardware can replicate the somatosensory system’s ability to fuse tactile and other sensory data for accurate object recognition. She has also advanced scalable memristive neurons that drive neural circuits for robotic obstacle avoidance (45 citations), and designed a bioinspired configurable cochlea using memristors (17 citations). Her earlier work on self-powered tribotronic graphene transistors for electronic skin further highlights her commitment to low-energy, multifunctional sensing. By bridging device physics with neural-inspired architectures, Zhu is enabling compact, energy-efficient systems that could transform autonomous robotics, prosthetics, and intelligent voice interfaces.

Research Focus

Key Achievements

4
H-Index
4
Papers
233
Total Citations
58
Avg Citations/Paper
🏆 Most Cited Paper
A Heterogeneously Integrated Spiking Neuron Array for Multimode‐Fused Perception and Object Classification
165 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago