Short Bio
Yanfu Yan is a Ph.D. student in the Department of Computer Science at William & Mary 🇺🇸, where she is fortunately advised by Prof. Denys Poshyvanyk. She graduated with her M.S. in computer applied technology from the University of Chinese Academy of Sciences, and her B.E. in software engineering from Xiamen University. Her primary research interests lie in software engineering, with a special focus on software evolution and maintenance, artificial intelligence for software engineering (AI4SE), mobile software, repository mining, and trustworthy AI.
News
- [ICSE'25] Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection.
Yanfu Yan, Viet Duong, Huajie Shao, and Denys Poshyvanyk.
Proceedings of the IEEE/ACM 47th International Conference on Software Engineering.
- [FSE'24] Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs.
Yanfu Yan, Nathan Cooper, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk, and Steve Rich.
Proceedings of the ACM International Conference on the Foundations of Software Engineering.
- [ICSE'24] Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports.
Yanfu Yan, Nathan Cooper, Oscar Chaparro, Kevin Moran, and Denys Poshyvanyk.
Proceedings of the IEEE/ACM 46th International Conference on Software Engineering.
- [ICSE'24-DS] On Improving Management of Duplicate Video-Based Bug Reports.
Yanfu Yan.
Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, Doctoral Symposium.
- [SCAM'23] ACER: An AST-based Call Graph Generator Framework.
Andrew Chen, Yanfu Yan, and Denys Poshyvanyk.
Proceedings of the IEEE 23rd International Working Conference on Source Code Analysis and Manipulation.
Talks and Teaching
Talks
- Invited talk on Software Maintenance and Evolution in the Era of Large Pre-trained Models at the NC State University, 2024
- Talk at FSE for my research paper titled "Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs", 2024
- Talk at ICSE for my research paper titled "Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports", 2024
- Talk at the ACM Capital Region Celebration of Women in Computing conference (CAPWIC) on Code Understanding for Impact Analysis, 2024
- Invited talk on Enhancing Code Understanding by Combining Transformers and Program Dependence Graphs at the School of Informatics, Xiamen University, 2023
Teaching
- Lab Instructor and Teaching Assistant, Programming for Data Science, William & Mary, 2022
- Teaching Assistant, Software Engineering, William & Mary, 2021
- Teaching Assistant, Digital Image Processing, University of Chinese Academy of Sciences, 2017
Academic Services
Journal Reviewer
- IEEE Transactions on Software Engineering (TSE) 2024
External Conference Reviewer
- IEEE/ACM International Conference on Software Engineering (ICSE) 2022, 2023, 2025
- ACM International Conference on the Foundations of Software Engineering (FSE) 2023, 2024
- IEEE/ACM International Conference on Automated Software Engineering (ASE) 2022
- International Conference on Software Maintenance and Evolution (ICSME) 2022-2024
- IEEE/ACM International Conference on Program Comprehension (ICPC) 2024
Student Volunteer
- IEEE/ACM International Conference on Software Engineering (ICSE) 2022
Honor and Awards
- ACM SIGSOFT CAPS Travel Grant: ICSE'24, FSE'24
- Graduate Research Seed Grant, William & Mary, 2024
- GSA Conference Award, William & Mary, 2024
- National Scholarship, University of Chinese Academy of Sciences, 2019
- The First Prize in Outstanding Undergraduate Scholarship, Xiamen University, 2012-2015
Contact
Address: 737 Landrum Dr, Williamsburg, VA 23185
Office Location: McGlothlin-Street Hall 101
Email: yyan09 (at) wm.edu
Phone: (757) 254-4174