4 citations · 15 across the 7 of their papers we have counts for
7 papers
Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation
Ziheng Duan, Yueyang Wang, Weihao Ye +3
Recently, deep neural network models for graph-structured data have been demonstrating to be influential in recommendation systems. Graph Neural Network (GNN), which can generate h…
Blockchain-Based Approach for Securing Spectrum Trading in Multibeam Satellite Systems
Feng Li, Kwok-Yan Lam, Min Jia +3
This paper presents a blockchain-based approach for securing spectrum sharing in multi-beam satellite systems. Satellite spectrum is a scarce resource that requires highly efficien…
Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff
Xiongwei Wu, Xiuhua Li, Jun Li +2
In most Internet of Things (IoT) networks, edge nodes are commonly used as to relays to cache sensing data generated by IoT sensors as well as provide communication services for da…
Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic
Xiongwei Wu, Xiuhua Li, Jun Li +3
Edge nodes (ENs) in Internet of Things commonly serve as gateways to cache sensing data while providing accessing services for data consumers. This paper considers multiple ENs tha…
PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks
Qilin Fan, Xiuhua Li, Jian Li +3
As ubiquitous and personalized services are growing boomingly, an increasingly large amount of traffic is generated over the network by massive mobile devices. As a result, content…
Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
Xiongwei Wu, Qiang Li, Xiuhua Li +2
Explosive growth of mobile data demand may impose a heavy traffic burden on fronthaul links of cloud-based small cell networks (C-SCNs), which deteriorates users' quality of servic…
Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks
Xiongwei Wu, Qiang Li, Xiuhua Li +2
Recent years have witnessed an exponential growth of mobile data traffic, which may lead to a serious traffic burn on the wireless networks and considerable power consumption. Netw…