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07/14/2023
SLSSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
Brain-inspired spiking neuron networks (SNNs) have attracted widespread ...
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07/31/2022
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with Accuracy Loss Estimator
Spiking neural network (SNN) is a brain-inspired model which has more sp...
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03/18/2022
Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block
Spiking neural networks (SNNs), as one of the brain-inspired models, has...
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01/25/2022
Self-supervised Point Cloud Registration with Deep Versatile Descriptors
Recent years have witnessed an increasing trend toward solving point clo...
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11/25/2021
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold
Spiking neural networks (SNNs) can utilize spatio-temporal information a...
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05/22/2021
Machine Learning Regression based Single Event Transient Modeling Method for Circuit-Level Simulation
In this paper, a novel machine learning regression based single event tr...
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09/15/2020
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition
Recently, several direct processing point cloud models have achieved sta...
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09/10/2019
Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes
Spiking neural networks (SNNs) are the third generation of neural networ...
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08/03/2019
