5 citations · 14 across the 6 of their papers we have counts for
6 papers
Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning
Wenrui Li, Penghong Wang, Ruiqin Xiong +1
The spiking neural networks (SNNs) that efficiently encode temporal sequences have shown great potential in extracting audio-visual joint feature representations. However, coupling…
DV-Hop localization based on Distance Estimation using Multinode and Hop Loss in WSNs
Penghong Wang, Xingtao Wang, Wenrui Li +2
Location awareness is a critical issue in wireless sensor network applications. For more accurate location estimation, the two issues should be considered extensively: 1) how to su…
Probability-based Distance Estimation Model for 3D DV-Hop Localization in WSNs
Penghong Wang, Hao Wang, Wenrui Li +2
Localization is one of the pivotal issues in wireless sensor network applications. In 3D localization studies, most algorithms focus on enhancing the location prediction process, l…
Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling
Wenxue Cui, Xiaopeng Fan, Jian Zhang +1
Inspired by certain optimization solvers, the deep unfolding network (DUN) has attracted much attention in recent years for image compressed sensing (CS). However, there still exis…
Spiking Semantic Communication for Feature Transmission with HARQ
Mengyang Wang, Jiahui Li, Mengyao Ma +1
In Collaborative Intelligence (CI), the Artificial Intelligence (AI) model is divided between the edge and the cloud, with intermediate features being sent from the edge to the clo…
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Chenlin Zhou, Han Zhang, Zhaokun Zhou +5
Deep spiking neural networks (SNNs) have drawn much attention in recent years because of their low power consumption, biological rationality and event-driven property. However, sta…