Yuan Tian

Yuan Tian is an Assistant Professor in the School of Computing at Queen's University, Faculty of Arts and Science. She holds a PhD in Information Systems from Singapore Management University (2017) and a B.Sc. in Computer Science from Zhejiang University (2012). Her research focuses on integrating heterogeneous data sources to enhance software engineering practices, including data mining, recommender systems, and social network analysis. Prior to Queen's, she was a data scientist at Living Analytics Research Centre (LARC), SMU. She has held visiting positions at Carnegie Mellon University, INRIA Paris, and SAIL Canada.

Research Interests:

• Data Mining
• Software Engineering
• Social Network Analysis
• Information Retrieval
• Recommender Systems
• Computer Security

Recent Research Trends: Her work emphasizes AI-driven solutions for software bug management, code translation, vulnerability detection, and developer behavior analysis. Notable contributions include leveraging LLMs for technical debt repayment and enhancing code vulnerability detection via Graph Neural Networks.

• Awards:
  • SMU Presidential Doctoral Fellowship (2015-2016)
  • Best Paper Award at SANER 2017
• Grants & Advising: No formal advisees listed, but active in collaborative projects with industry and academic partners.
• Labs/Teams: Previously associated with SOAR Group at SMU and currently leads research in Queen's School of Computing.