Yifeng Di

Ph.D. Student @ Purdue CS

Department of Computer Science

305 N. University Street

West Lafayette, IN 47907

I’m a Ph.D. student in the Department of Computer Science at Purdue University, advised by Professor Tianyi Zhang. My research interests lie at the intersection of software engineering and artificial intelligence.

I focus on developing techniques and tools to improve LLMs for coding tasks, including enhancing their capabilities and enabling more reliable, fine-grained evaluation.

In addition, I work on building knowledge graphs for software supply chain security and analyzing software dependencies to better understand their structure, risks, and impact.

news

Apr 06, 2026 Our paper on multi-agent web navigation was accepted to the Main Conference of ACL 2026!
Aug 28, 2025 SecureChain has been selected for NSF’s National AI Research Resource (NAIRR) Pilot! NSF news, Purdue news.
Oct 31, 2024 Our paper on bidirectional grounding of LLM-based code generation was accepted to the first round of ICSE 2025!
Jul 17, 2023 Our paper on software entity recognition with noise-robust learning was accepted to ASE 2023!

publications

  1. ACL
    Mango: Multi-Agent Web Navigation via Global-View Optimization
    Weixi Tong, Yifeng Di, and Tianyi Zhang
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
  2. ICSE
    Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
    Yifeng Di and Tianyi Zhang
    In Proceedings of the IEEE/ACM 47th International Conference on Software Engineering, 2025
    arXiv Code
  3. ASE
    Software Entity Recognition with Noise-Robust Learning
    Tai Nguyen*, Yifeng Di*, Joohan Lee, and 2 more authors
    In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    arXiv Code
  4. MSR
    SOSum: A Dataset of Stack Overflow Post Summaries
    Bonan Kou, Yifeng Di, Muhao Chen, and 1 more author
    In Proceedings of the 19th International Conference on Mining Software Repositories, 2022