Xiaofei Xie

Papers

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About

Xiaofei Xie is a leading researcher in the reliability and safety of AI-enabled cyber-physical systems, with a particular focus on autonomous driving, robotics, and multi-agent systems. His work addresses the critical challenge of ensuring that decision-making policies—the core of modern autonomous systems—are robust and trustworthy. Xie pioneered generative model-based testing for decision-making policies, a foundational contribution that has garnered significant attention (14 citations since 2023). He further advanced the field with diversity-guided exploration and adaptive critical state exploitation for multi-agent system testing, enabling more thorough validation of complex, interacting AI agents. His notable MORTAR framework introduces a model-based runtime action repair mechanism for AI-enabled cyber-physical systems, offering a practical solution for maintaining safety during operation. Xie’s research directly impacts the deployment of reliable AI in high-stakes applications, from autonomous vehicles to multi-robot coordination. His work is essential reading for anyone interested in the intersection of software engineering, artificial intelligence, and safety-critical systems.