Dexuan Huo
Orcid: 0000-0002-0452-3998
According to our database1,
Dexuan Huo
authored at least 8 papers
between 2022 and 2024.
Collaborative distances:
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Bibliography
2024
ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications.
IEEE J. Solid State Circuits, August, 2024
2023
A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition.
Sensors, March, 2023
ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023
ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-O.1 μJ/Sample On-Chip Learning for Edge-AI Applications.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
ANAS: Asynchronous Neuromorphic Hardware Architecture Search Based on a System-Level Simulator.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 28th IEEE International Symposium on Asynchronous Circuits and Systems, 2023
A 28nm Energy-efficient Asynchronous SNN Accelerator with On-chip Learning for Gas Recognition.
Proceedings of the 28th IEEE International Symposium on Asynchronous Circuits and Systems, 2023
2022