1 citations · 1 across the 5 of their papers we have counts for
5 papers
Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method
Jing Zhang, Ke Huang, Yao Zhang +2
The proliferation of fake reviews, often produced by organized groups, undermines consumer trust and fair competition on online platforms. These groups employ sophisticated strateg…
VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning
Qian Zhang, Zhuo Sun, Yao Zhang +3
Inter-agent communication serves as an effective mechanism for enhancing performance in collaborative multi-agent reinforcement learning(MARL) systems. However, the inherent commun…
Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
Yao Zhang, Yuyi Mao, Hui Wang +5
Visual Simultaneous Localization and Mapping (vSLAM) is a prevailing technology for many emerging robotic applications. Achieving real-time SLAM on mobile robotic systems with limi…
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning
Yao Zhang, Zhiwen Yu, Jun Zhang +4
This paper considers optimal traffic signal control in smart cities, which has been taken as a complex networked system control problem. Given the interacting dynamics among traffi…
RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence
Changan Yang, Yaxing Chen, Yao Zhang +5
Vehicular crowd intelligence (VCI) is an emerging research field. Facilitated by state-of-the-art vehicular ad-hoc networks and artificial intelligence, various VCI applications co…