XIE Xiaofei

XIE Xiaofei is an Assistant Professor of Computer Science at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). He holds the Lee Kong Chian Fellowship and has a PhD from Tianjin University (2018). Previously, he was a postdoctoral researcher at Nanyang Technological University (NTU, 2018–2021).

His research focuses on program analysis, software testing, vulnerability detection, and AI system quality assurance. Key areas include adversarial attacks on deep learning systems, autonomous driving testing, and secure software development. He actively advises PhD students and collaborates on projects like the GameRTS framework for video game testing and BehAVExplor for autonomous systems.

Education:

• PhD, Tianjin University, 2018
• Postdoctoral Research, NTU Singapore, 2018–2021

Research Interests:

Dr. Xie explores cutting-edge topics such as neural network testing, AI security, and large language model (LLM) reliability. He develops tools like DeepHunter for DNN fuzz testing and CAShift for cloud attack detection. His work bridges theory and practice, addressing real-world challenges in software safety and AI robustness.

Recent Contributions:

His publications span top venues (ICSE, ASE, CVPR) and include innovations like behavior diversity testing for autonomous vehicles and multi-target backdoor attacks on code models. He also leads initiatives to enhance federated learning security and LLM vulnerability detection.

Awards & Recognition:

• ACM Tianjin Doctoral Dissertation Award (2019)
• ACM SIGSOFT Distinguished Paper Award (ISSTA 2022)
• Best Paper Award, APSEC 2020
• 3^rd place in AI Singapore’s Trusted Media Challenge (2022)

Advising & Grants:

He mentors seven PhD/MSc students and leads research teams funded by initiatives like SMU’s Lee Kong Chian Fellowship. His labs focus on autonomous systems testing and AI-driven security tools.