Picture for Yujie Wu

Yujie Wu

NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks

Add code
Aug 28, 2024
Viaarxiv icon

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning

Add code
Aug 27, 2024
Viaarxiv icon

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing

Add code
Aug 27, 2024
Viaarxiv icon

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies

Add code
Jul 30, 2024
Viaarxiv icon

Multi-source domain adaptation for regression

Add code
Dec 09, 2023
Viaarxiv icon

Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation

Add code
Nov 25, 2022
Viaarxiv icon

Advancing Residual Learning towards Powerful Deep Spiking Neural Networks

Add code
Dec 23, 2021
Figure 1 for Advancing Residual Learning towards Powerful Deep Spiking Neural Networks
Figure 2 for Advancing Residual Learning towards Powerful Deep Spiking Neural Networks
Figure 3 for Advancing Residual Learning towards Powerful Deep Spiking Neural Networks
Figure 4 for Advancing Residual Learning towards Powerful Deep Spiking Neural Networks
Viaarxiv icon

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks

Add code
Jul 25, 2021
Figure 1 for H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Figure 2 for H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Figure 3 for H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Figure 4 for H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Viaarxiv icon

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning

Add code
Jun 30, 2021
Figure 1 for Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Figure 2 for Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Figure 3 for Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Figure 4 for Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Viaarxiv icon

Going Deeper With Directly-Trained Larger Spiking Neural Networks

Add code
Oct 29, 2020
Figure 1 for Going Deeper With Directly-Trained Larger Spiking Neural Networks
Figure 2 for Going Deeper With Directly-Trained Larger Spiking Neural Networks
Figure 3 for Going Deeper With Directly-Trained Larger Spiking Neural Networks
Figure 4 for Going Deeper With Directly-Trained Larger Spiking Neural Networks
Viaarxiv icon