2 citations · 5 across the 5 of their papers we have counts for
5 papers
CHESTNUT: A QoS Dataset for Mobile Edge Environments
Guobing Zou, Fei Zhao, Shengxiang Hu
Quality of Service (QoS) is an important metric to measure the performance of network services. Nowadays, it is widely used in mobile edge environments to evaluate the quality of s…
GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction
Shengxiang Hu, Guobing Zou, Bofeng Zhang +4
Accurate prediction of temporal QoS is crucial for maintaining service reliability and enhancing user satisfaction in dynamic service-oriented environments. However, current method…
Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
Yining Wu, Shengyu Duan, Gaole Sai +2
Matrix factorization (MF) is a widely used collaborative filtering (CF) algorithm for recommendation systems (RSs), due to its high prediction accuracy, great flexibility and high…
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Shengxiang Hu, Guobing Zou, Song Yang +3
In service-oriented architectures, accurately predicting the Quality of Service (QoS) is crucial for maintaining reliability and enhancing user satisfaction. However, significant c…
Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer
Shengxiang Hu, Guobing Zou, Song Yang +3
Dynamic graph representation learning has emerged as a crucial research area, driven by the growing need for analyzing time-evolving graph data in real-world applications. While re…