56 citations · 62 across the 6 of their papers we have counts for
6 papers
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
Qiugang Zhan, Jinbo Cao, Xiurui Xie +3
Spiking federated learning is an emerging distributed learning paradigm that allows resource-constrained devices to train collaboratively at low power consumption without exchangin…
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
Qiugang Zhan, Ran Tao, Xiurui Xie +4
In recent years, studies on image generation models of spiking neural networks (SNNs) have gained the attention of many researchers. Variational autoencoders (VAEs), as one of the…
Cooperative Resource Trading for Network Slicing in Industrial IoT: A Multi-Agent DRL Approach
Gordon Owusu Boateng, Guisong Liu
The industrial Internet of Things (IIoT) and network slicing (NS) paradigms have been envisioned as key enablers for flexible and intelligent manufacturing in the industry 4.0, whe…
Human-Level Control through Directly-Trained Deep Spiking Q-Networks
Guisong Liu, Wenjie Deng, Xiurui Xie +2
As the third-generation neural networks, Spiking Neural Networks (SNNs) have great potential on neuromorphic hardware because of their high energy-efficiency. However, Deep Spiking…
Self Attention Grid for Person Re-Identification
Jean-Paul Ainam, Ke Qin, Guisong Liu
In this paper, we present an attention mechanism scheme to improve person re-identification task. Inspired by biology, we propose Self Attention Grid (SAG) to discover the most inf…
Sparse Label Smoothing Regularization for Person Re-Identification
Jean-Paul Ainam, Ke Qin, Guisong Liu +1
Person re-identification (re-id) is a cross-camera retrieval task which establishes a correspondence between images of a person from multiple cameras. Deep Learning methods have be…