Papers
2
Total Citations
29
H-Index
2
About
Jinliang Shao is a leading researcher in networked multi-agent systems, with a focus on the intersection of privacy, security, and limited communication resources. His work addresses critical challenges in distributed coordination, particularly where agents must operate under signed networks—which model both cooperative and competitive interactions. In his highly cited 2022 paper on *Privacy-Preserving Distributed Iterative Localization for Wireless Sensor Networks* (25 citations), Shao introduced novel methods for accurately determining sensor node locations without compromising sensitive data, a fundamental problem for secure IoT deployments. He further advanced the field by analyzing emergent dynamics in asynchronous multi-agent systems under signed networks and constrained communication, demonstrating how limited resources impact system stability and consensus. Shao’s contributions are pivotal for applications ranging from multi-robot formation to opinion dynamics, where trust and efficiency are paramount. His work is widely recognized for bridging theoretical rigor with practical constraints, making him a key figure in the development of resilient, privacy-aware distributed systems.
Research Focus
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Top Papers
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