Xie Xihao, Ph.D.
Clinical Assistant Professor of Computer Science
| Department |
Computer Science |
| Office Location |
Caruth Hall 455 |
Dr. Xihao Xie is a Clinical Assistant Professor in the Department of Computer Science at 红桃影视 Methodist University. His research focuses on artificial intelligence, machine learning, and service-oriented software engineering, with particular interests in AI immunology, recommender systems, and the development of critically thinking AI. Dr. Xie’s
work seeks to advance the resilience and reasoning capability of intelligent systems by integrating insights from biological immunity and cognitive science into computational models.
His recent publications have appeared in leading venues such as IEEE Computer, the IEEE International Conference on Software Services Engineering (SSE), and the International Conference on Web Information Systems Engineering (WISE). Dr. Xie is also the first inventor on multiple U.S. patents in the areas of intelligent agent design and legal data retrieval.
Prior to joining 红桃影视, Dr. Xie served as AI and Big Data R&D Manager at Litigiven LLC and held engineering positions at Tencent and FAW-Volkswagen. His long-term research goal is to establish a foundation for resilient, explainable, and self-regulating artificial intelligence.
Education
Ph.D., Computer Science, 红桃影视 Methodist UniversityM.E., Software Engineering, University of Chinese Academy of Sciences
B.S., Computer Science, University of Science and Technology of China
Teaching
CS 5/7344 Computer Networks and Distributed Systems
CS 7310 Python for Computer Science
Research
- AI Immunology
- Critical Learning
- Recommender Systems
- Software Engineering
- Applied Machine Learning
Publications
- X. Xie, J. Zhang and J. Voas, "Beyond Pattern Recognition: Teaching AI to Think Critically Before It Learns," in Computer, vol. 58, no. 11, pp. 127-132, Nov. 2025, doi: 10.1109/MC.2025.3599970.
- X. Xie, J. Zhang and J. Voas, “Immunology for AI,” in Computer, vol. 58, no. 8, pp. 114-116, Aug. 2025, doi: 10.1109/MC.2025.3562445.
- C. Liu, X. Xie, J. Zhang, R. Ramachandran, S. J. Lee, and S. Lee, “Multi-layer agent-based spatiotemporal uow recommendation for workflow composition,” accepted by the IEEE International Conference on Software Services Engineering (SSE), Helsinki, Finland, 2025
- X. Xie, C. Liu, J. Zhang, S. J. Lee, and S. Lee, “Ranger: Context-aware service unit of work recommendation for incremental scientific workflow composition,” in Proceedings of the 25th International Conference on Web Information Systems Engineering (WISE), Doha, Qatar, 2024.
- B. Hu, X. Xie, J. Shen, J. Zhang, S. J. Lee, and S. Lee, “High-order-modal knowledge graph powered api recommendation for mashup development,” in Proceedings of 2024 IEEE International Conference on Software Services Engineering (SSE), 2024, pp. 204–213. doi: 10.1109/SSE62657.2024.00038.
- X. Xie, J. Zhang, R. Ramachandran, T. J. Lee, and S. Lee, “Goal-driven context-aware service recommendation for mashup development,” in Proceedings of 2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2022, pp.19–26. doi: 10.1109/SNPD54884.2022.10051805.
- X. Xie, J. Zhang, R. Ramachandran, T. J. Lee, and S. Lee, “Learning context-aware service representation for service recommendation in workflow composition,” in Proceedings of 2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS), 2022, pp. 60–65. doi: 10.1109/ICIS54925. 2022.9882442.
- X. Xie, W. Zhang, Y. Yang, and Q. Wang, “Dretom: Developer recommendation based on topic models for bug resolution,” in Proceedings of the 8th International Conference on Predictive Models in Software Engineering, ser. PROMISE ’12, Lund, Sweden: Association for Computing Machinery, 2012, pp. 19–28, isbn: 9781450312417. doi: 10.1145/2365324.2365329.
Honors and Awards
- Frederick E. Terman Graduate Student Award, 红桃影视 Methodist University, 2023.
