XIE Xiaofei
Full-time Faculty
Assistant Professor of Computer Science
School of Computing and Information Systems
SCIS
Qualification
- PhD, Tianjin University, 2018
Teaching Topics
- Enterprise Solution Development
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsXIE Xiaofei is an internationally recognized researcher in trustworthy AI, software engineering, and autonomous systems, with impactful contributions to deep learning testing, federated learning, and AI security.
Pioneers robust and interpretable AI and software engineering methods, bridging theory and practice in automated testing, program repair, and federated learning; drives applied impact in autonomous vehicles, cybersecurity, and trustworthy AI; recognized for methodological innovation, large-scale empirical studies, and leadership in international research collaborations and community service.
Focused research areas include Automated testing and repair for deep learning and software systems; robustness and security of AI models; federated learning optimization and defense; adversarial attacks and defenses in autonomous systems; program analysis and code intelligence; vulnerability detection in software and cyber-physical systems; empirical studies on AI and software quality.
Pioneers robust and interpretable AI and software engineering methods, bridging theory and practice in automated testing, program repair, and federated learning; drives applied impact in autonomous vehicles, cybersecurity, and trustworthy AI; recognized for methodological innovation, large-scale empirical studies, and leadership in international research collaborations and community service.
Focused research areas include Automated testing and repair for deep learning and software systems; robustness and security of AI models; federated learning optimization and defense; adversarial attacks and defenses in autonomous systems; program analysis and code intelligence; vulnerability detection in software and cyber-physical systems; empirical studies on AI and software quality.
Areas of Expertise
Software EngineeringLoop AnalysisTestingDeep Learning
Past Awarded Grant
- Evaluating the Perception Module in Autonomous Driving Systems: Impact on Vehicle Motion, Academic Research Fund (AcRF) Tier 2, Ministry of Education (MOE), PI: XIE Xiaofei, 2024
- Towards Building Unified Autonomous Vehicle Scene Representation for Physical AV Adversarial Attacks and Visual Robustness Enhancement (Stage 1a), AI Singapore Robust AI Grand Challenge, AI Singapore, Co-PI: XIE Xiaofei, 2023
- Trustworthy AI Centre NTU (TAICeN), Cyber Security Agency of Singapore (CSA), Co-PI: XIE Xiaofei, SUN Jun, 2023
- Automatic non-linear loop summarization and its applications, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI: XIE Xiaofei, 2021
- From Risk Identification to Risk Management: A Systematic Approach to Mitigating LLM Supply Chain Risks, CRPO Grant Call - Translation and Innovation Grants, CRPO, PI: XIE Xiaofei, 2025
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- J Wang, Z Xie, X Xie, X Du, X ZhangInformation and Software Technology 194, 108087, 2026
- GenCode: A generic data augmentation framework for boosting deep learning-based code understanding [2026]Z Dong, Q Hu, X Xie, M Cordy, M Papadakis, YL Traon, J ZhaoEmpirical Software Engineering 31 (3), 72, 2026
- W Jiang, J Zhai, S Ma, Z Lei, X Xie, Y Wang, C ShenProceedings of the AAAI Conference on Artificial Intelligence 40 (37), 31337 …, 2026
- J Chen, Y Wang, J Wang, X Xie, Y Hu, Q Wang, F XuProceedings of the AAAI Conference on Artificial Intelligence 40 (35), 29359 …, 2026
- Z Shi, J Wang, Y Guo, X Xie, Q Hu, M Cordy, S Chen, M Papadakis, ...IEEE Transactions on Software Engineering, 2026
- J Yu, X Wen, S Cheng, X Xie, Q Hu, Y WangarXiv preprint arXiv:2603.13411, 2026
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, Tianjin University, 2018
Teaching Topics
- Enterprise Solution Development