25 citations · 46 across the 15 of their papers we have counts for
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eess.SP2021★ 1 cited
Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
Juntong Liu, Yong Xiao, Yingyu Li +3
The effective deployment of connected vehicular networks is contingent upon maintaining a desired performance across spatial and temporal domains. In this paper, a graph-based fram…
eess.SP2020
A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network
Rong Xia, Yong Xiao, Yingyu Li +2
Spatio-temporal modeling of wireless access latency is of great importance for connected-vehicular systems. The quality of the molded results rely heavily on the number and quality…
eess.SP2020★ 13 cited
Federated Orchestration for Network Slicing of Bandwidth and Computational Resource
Yingyu Li, Anqi Huang, Yong Xiao +3
Network slicing has been considered as one of the key enablers for 5G to support diversified IoT services and application scenarios. This paper studies the distributed network slic…