6 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.NI2022★ 2 cited
Quality-Cost Trade-off on Constructing Logical Views for Vehicular Cyber-Physical Systems: A Deep Reinforcement Learning Approach
Junyuan Wu, Xincao Xu, Chuzhao Li +3
With the development of sensing technologies, vehicle-to-everything (V2X) communications, edge computing paradigm, vehicular cyber-physical systems (VCPS) are emerging as the most…
cs.NI2022★ 6 cited
Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems
Xincao Xu, Kai Liu, Qisen Zhang +3
Heterogeneous information fusion is one of the most critical issues for realizing vehicular cyber-physical systems (VCPSs). This work makes the first attempt at quantitatively meas…
cs.NI2020
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration
Xincao Xu, Kai Liu, Ke Xiao +3
Vehicular fog computing (VFC) has been envisioned as a promising paradigm for enabling a variety of emerging intelligent transportation systems (ITS). However, due to inevitable as…