Xueying Du

Xueying Du

Postdoctoral Research Fellow at the National University of Singapore (NUS). Research interests: Research fields: AI4SE, SE4AI, Software Development Knowledge Graph

I am currently a Postdoctoral Research Fellow at the National University of Singapore (NUS), working with Prof. Jin Song Dong. I received my Ph.D. in Computer Science from Fudan University in 2026, where I advised by Prof. Xin Peng and Prof. Yiling Lou. My research lies at the intersection of Software Engineering (SE) and Artificial Intelligence (AI), with a particular focus on AI for Software Engineering (AI4SE). I am particularly interested in combining large language models (LLMs) with knowledge engineering to address real-world challenges in software development, maintenance, and security.

🔥 News

  • 🌱 2026.10: I joined the National University of Singapore (NUS) as a Postdoctoral Research Fellow.
  • 🎉 2026.09: Our paper, “Agents as Neuro-Symbolic Reasoners: Path Feasibility Reasoning for Precise Static Bug Detection,” was accepted to NeurIPS 2026.
  • 🎉 2026.09: Our paper, “VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection,” was accepted by TOSEM. [Paper]
  • 🎓 2026.06: I received my Ph.D. from Fudan University.
  • 🎉 2026.01: Our paper, “Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG,” was accepted by TOSEM. [Paper]
  • 🎉 2025.12: Our paper, “Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing,” was accepted by TOSEM. [Paper]
  • 🎉 2025.12: Our paper, “Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry,” was accepted to ICSE 2026. [Paper]

📚 Selected Publications

  • [NeurIPS’26] Agents as Neuro-Symbolic Reasoners: Path Feasibility Reasoning for Precise Static Bug Detection, Xueying Du, Kai Yu, Chong Wang, Yi Zou, Wentai Deng, Zuoyu Ou, Xin Peng, Yiling Lou.
  • [ICSE’26] Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry, Xueying Du, Jiayi Feng, Yi Zou, Jiayi Feng, Wei Xu, Jie Ma, Wei Zhang, Sisi Liu, Xin Peng, Yiling Lou. [Paper]
  • [TOSEM’26] 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]
  • [TOSEM’26] Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing, Xueying Du, Mingwei Liu, Juntao Li, Hanlin Wang, Xin Peng, Yiling Lou. [Paper]
  • [ICSE’24] Evaluating Large Language Models in 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 30000+]
  • [FSE’23] KG4CraSolver: Recommending Crash Solutions via Knowledge Graph, Xueying Du, Yiling Lou, Mingwei Liu, Xin Peng, Tianyong Yang. [Paper]

📋 Academic Services

  • Program Committee for ASE 2025, 2026
  • 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 and Awards

  • Outstanding Graduate of Shanghai, 2026
  • Highly Cited Review Paper Award, Journal of Software, 2024
  • ACM SIGSOFT Distinguished Paper Award, ESEC/FSE, 2023
  • ACM-ICPC EC-final Bronze, 2018
  • National Second-Level Athlete, China (200m, 400m)