Xueying Du

Xueying Du

Fudan University, Software Engineering Laboratory, PhD student. Research fields: AI4SE, SE4AI, Software Development Knowledge Graph

Xueying Du is a PhD Student at Fudan University, China. As a member of CodeWisdom Group, she had the invaluable opportunity to work under the guidance and mentorship of Prof. Xin Peng and Prof. Yiling Lou. Her research focuses on the intersection of Software Engineering (SE) and Artificial Intelligence (AI), specifically in the domains of AI4SE and SE4AI. Her primary interest lies in leveraging advanced AI technologies, such as large language models (LLMs) and knowledge graphs (KGs), to address software engineering challenges. Previously, she obtained her B.S. degree in Computer Science from Northwestern Polytechnical University in 2021.

Selected Publications

  • [Preprint] Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG, Xueying Du, Geng Zhang, Kaixin Wang, Jiayi Feng, Wentai Deng, Mingwei Liu, Bihuan Chen, Xin Peng, Tao Ma, Yiling Lou. [Paper]

  • [Preprint] Resolving Crash Bugs via Large Language Models: An Empirical Study, Xueying Du, Mingwei Liu, Juntao Li, Hanlin Wang, Xin Peng, Yiling Lou. [Paper]

  • [ICSE’24] ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation, Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou. [Paper] [Benchmark github][Hugging Face][Downloads 9000+]

  • [FSE’23] KG4CraSolver: Recommending Crash Solutions via Knowledge Graph, Xueying Du, Yiling Lou, Mingwei Liu, Xin Peng, Tianyong Yang. [Paper]

  • [FSE’23][ACM SIGSOFT Distinguished Paper Award] Recommending Analogical APIs via Knowledge Graph Embedding, Mingwei Liu, Yanjun Yang, Yiling Lou, Xin Peng, Zhong Zhou, Xueying Du, Tianyong Yang. [Paper]

Talks

  • [FSE’23 oral presentation] KG4CraSolver: Recommending Crash Solutions via Knowledge Graph
  • [FSE’23 oral presentation] Recommending Analogical APIs via Knowledge Graph Embedding
  • [ICSE’24 oral presentation] Evaluating Large Language Models in Class-Level Code Generation

Academic Services

  • Publicity Co-chair for LLM4Code 2025
  • External Reviewer for conferences and journals, including TSE, TOSEM, ICSE, FSE, ASE, ISSTA, ACL, etc.

Teaching

  • Spring 2022 Teaching Assistant, Software Testing and Quality Assurance, Undergraduate-level Course, Fudan University, China
  • Spring 2025 Teaching Assistant, Software Engineering, Undergraduate-level Course, Fudan University, China

Honors

  • ACM SIGSOFT Distinguished Paper Award, ESEC/FSE 2023
  • ACM-ICPC EC-final Bronze, 2018
  • National Second-Level Athlete (200m, 400m)