Y. Zhao, L. Shi, and Q. Zhu, “Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning.” PDF
Y. Zhao and Q. Zhu, “Incentive-Compatible and Distributed Allocation for Robotic Service Provision Through Contract Theory”. PDF
Y. Zhao and Q. Zhu, “Stackelberg Meta-Learning Based Shared Control for Assistive Driving.” PDF
Y. Zhao and Q. Zhu, “Autonomous and Resilient Control for Optimal LEO Satellite Constellation Coverage Against Space Threats.” PDF
Journal Papers
Y. Zhao, J. Chen, and Q. Zhu, “Integrated Cyber-Physical Resiliency for Power Grids under IoT-Enabled Dynamic Botnet Attacks,” IEEE Transactions on Control Systems Technology, to be appear. PDF
T. Li, Y. Zhao, and Q. Zhu, “The Role of Information Structures in Game-Theoretic Multi-Agent Learning,” Annual Reviews in Control, vol. 53, pp. 296-314, 2022. PDF
S. Liu, Y. Zhao, and Q. Zhu, “Herd Behaviors in Epidemics: A Dynamics-Coupled Evolutionary Games Approach,” Dynamic Games and Applications, vol. 12, no. 1, pp. 183-213, 2022. PDF
Conference Papers
Y. Zhao and Q. Zhu, “Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator,” Accepted by ICRA 2024. PDF
Y. Zhao and Q. Zhu, “Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. PDF
Y. Zhao and Q. Zhu, “Stackelberg Meta-Learning based Control for Guided Cooperative LQG Systems,” 22nd World Congress of the International Federation of Automatic Control (IFAC), 2023. PDF
Y. Zhao, B. Huang, J. Yu, and Q. Zhu, “Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration,” IEEE International Conference on Robotics and Automation (ICRA), 2022. PDF
Y. Zhao and Q. Zhu, “Distributed and Resilient Planning-Control for Optimal LEO Satellite Constellation Coverage,” American Control Conference (ACC), 2022. PDF
S. Liu, Y. Zhao, and Q. Zhu, “Understanding the Interplay Between Herd Behaviors and Epidemic Spreading Using Federated Evolutionary Games,” American Control Conference (ACC), 2022. PDF
Y. Zhao, Y. Ge, and Q. Zhu, “Combating Ransomware in Internet of Things: A Games-in-Games Approach for Cross-layer Cyber Defense and Security Investment,” International Conference on Decision and Game Theory for Security (GameSec), 2021. PDF
Y. Zhao, and Q. Zhu, “Combating Online Counterfeits: A Game-Theoretic Analysis of Cyber Supply Chain Ecosystem,” International Conference on Decision and Game Theory for Security (GameSec), 2020. PDF
Book Chapters
Y. Zhao, and Q. Zhu, “Multi-Agent Learning for Resilient Distributed Control Systems”, book chapter in Power Grid Resilience: Theory and Applications, Springer, 2024.