activity
20182022
most citedBackpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks

3 citations · 6 across the 3 of their papers we have counts for

collaborators

7 papers

cs.LG20223 cited

MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs

Wenrui Zhang, Shijia Geng, Zhaoji Fu +3

Ventricular arrhythmias (VA) are the main causes of sudden cardiac death. Developing machine learning methods for detecting VA based on electrocardiograms (ECGs) can help save peop…

cs.NE20213 cited

Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks

Yukun Yang, Wenrui Zhang, Peng Li

While backpropagation (BP) has been applied to spiking neural networks (SNNs) achieving encouraging results, a key challenge involved is to backpropagate a continuous-valued loss o…

cs.NE2020

Skip-Connected Self-Recurrent Spiking Neural Networks with Joint Intrinsic Parameter and Synaptic Weight Training

Wenrui Zhang, Peng Li

As an important class of spiking neural networks (SNNs), recurrent spiking neural networks (RSNNs) possess great computational power and have been widely used for processing sequen…

cs.NE2019

Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes

Changqing Xu, Wenrui Zhang, Yu Liu +1

Spiking neural networks (SNNs) are the third generation of neural networks and can explore both rate and temporal coding for energy-efficient event-driven computation. However, the…

cs.NE2019

Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks

Wenrui Zhang, Peng Li

Spiking neural networks (SNNs) well support spatiotemporal learning and energy-efficient event-driven hardware neuromorphic processors. As an important class of SNNs, recurrent spi…

cs.CV2019

Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior

Binghan Li, Wenrui Zhang, Mi Lu

Dark Channel Prior (DCP) is a widely recognized traditional dehazing algorithm. However, it may fail in bright region and the brightness of the restored image is darker than hazy i…