30 citations · 40 across the 5 of their papers we have counts for
5 papers
Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting
Hui Ma, Qingzhong Li, Jin Wang +4
Network traffic forecasting plays a crucial role in intelligent network operations, but existing techniques often perform poorly when faced with limited data. Additionally, multi-t…
Fog Intelligence for Network Anomaly Detection
Kai Yang, Hui Ma, Shaoyu Dou
Anomalies are common in network system monitoring. When manifested as network threats to be mitigated, service outages to be prevented, and security risks to be ameliorated, detect…
Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
Hui Ma, Kai Yang, Man-On Pun
Cellular traffic prediction is of great importance for operators to manage network resources and make decisions. Traffic is highly dynamic and influenced by many exogenous factors,…
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
Hui Ma, Kai Yang
Network traffic prediction techniques have attracted much attention since they are valuable for network congestion control and user experience improvement. While existing predictio…
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
Hui Ma, Kai Yang, Yang Jiao
Network traffic prediction plays a crucial role in intelligent network operation. Traditional prediction methods often rely on centralized training, necessitating the transfer of v…