3 papers
cs.AI2025
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue
Wenhao Lu, Zhengqiu Zhu, Yong Zhao +5
Mobile crowdsensing is evolving beyond traditional human-centric models by integrating heterogeneous entities like unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGV…
cs.AI2024
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach
Zhengqiu Zhu, Yong Zhao, Bin Chen +6
The transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progres…
cs.DC2023
Toward parallel intelligence: an interdisciplinary solution for complex systems
Yong Zhao, Zhengqiu Zhu, Bin Chen +10
The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these de…