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07/01/2023
AutoST: Training-free Neural Architecture Search for Spiking Transformers
Spiking Transformers have gained considerable attention because they ach...
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06/29/2023
Spiking Denoising Diffusion Probabilistic Models
Spiking neural networks (SNNs) have ultra-low energy consumption and hig...
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10/15/2022
AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density
DBSCAN has been widely used in density-based clustering algorithms. Howe...
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10/03/2022
Efficient Spiking Transformer Enabled By Partial Information
Spiking neural networks (SNNs) have received substantial attention in re...
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06/25/2021
Temporal Modes of Light in Satellite-to-Earth Quantum Communications
The photonic Temporal Mode (TM) represents a possible candidate for the ...
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02/21/2019
Inter-satellite Quantum Key Distribution at Terahertz Frequencies
Terahertz (THz) communication is a topic of much research in the context...
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01/10/2019
