Xiaoshuang Li

Beijing Academy of Artificial Intelligence

Papers

Total Citations

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About

Xiaoshuang Li is a pioneering researcher in the field of Cyber–Physical–Human Systems (CPHS), with a particular focus on developing intelligent frameworks for managing and controlling complex sociotechnical systems. Their most significant contribution is the introduction of the ACP (Artificial societies, Computational experiments, Parallel execution) approach for CPHS, which provides a groundbreaking methodology for handling the intricate dynamics of human and social behaviors within these systems. This work, published in 2023, has already garnered attention with 3 citations, reflecting its growing influence in the emerging CPHS domain. Li's research addresses a critical challenge in modern systems engineering: how to effectively integrate human factors into automated control processes. By proposing parallel intelligence as a solution, they have opened new avenues for designing more adaptive and resilient systems that can better accommodate human unpredictability. Their work is particularly relevant for applications in smart cities, intelligent transportation, and industrial automation, where human-machine interactions are increasingly complex. Li's contributions are helping to shape the next generation of intelligent systems that can learn and adapt alongside their human operators.