Keyu Qi

Keyu Qi is a researcher affiliated with the Institute of Information Engineering at the Chinese Academy of Sciences and the School of Cyber Security at the University of Chinese Academy of Sciences, actively contributing to cybersecurity and AI-driven software analysis. Their institutional roles bridge theoretical research and practical security applications.

Research focuses on:

• Cyber Security and software vulnerability detection
• Artificial Intelligence for binary program analysis
• Reverse engineering and malware analysis
• AI-based function similarity techniques

Recent work demonstrates a strong trend toward applying machine learning to binary security problems, particularly in scaling similarity detection for real-world security practitioners. The 2025 ASE publication highlights evolving methodologies in program analysis using neural networks.

No scientific awards were documented in the source materials.

Information regarding student advising, grant funding, or laboratory teams was not provided in the available conference profile data.