Yin Xiong
Papers
1
Total Citations
36
H-Index
1
About
Yin Xiong is a researcher whose work bridges the critical gap between agent-based modeling and high-performance simulation. His key research areas include distributed simulation, agent-based systems, and parallel discrete event simulation (PDES). Xiong’s major contribution is the SASSY system, a scalable agent-based simulation framework built on distributed discrete event infrastructure. This work addresses a fundamental challenge: while PDES techniques are powerful for efficient simulation, they often struggle to support the unique demands of agent-based applications. By designing SASSY, Xiong provided a practical solution that enables complex, autonomous agents to operate within a distributed, high-performance environment. His foundational paper on this topic has garnered 36 citations, reflecting its lasting influence on the simulation community. This work is particularly notable for its foresight in anticipating the growing need for simulators that can handle the complexity and scalability of modern agent-based models. Xiong’s research continues to inform the development of more flexible and efficient simulation systems, making him a key figure in the evolution of computational modeling for students and researchers alike.
Research Focus
Key Achievements
Top Papers
- 1