Author

Xing-Yu Li

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#machine learning Conference Open access Sep 2025

What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs

DUALLM, a dual-method pipeline that integrates two approaches based on a Large Language Model (LLM) and a fine-tuned small language model, achieves 87.4% accuracy and an F1-score of 0.875, significantly outperforming prior solutions.

Xing-Yu Li, Jue-Fei Pu, Yifan Wu et al. · Network and Distributed Syst... · 1 citation

#artificial intelligence Preprint Sep 2026

SyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnesses

Automated kernel vulnerability reproduction is essential for bug triage, patch validation, and regression testing, but still lacks an effective and efficient solution. The core challenge is twofold: a reproducer must first recover the trigger scaffold needed to reach the vulnerable state and determine the precise concr...

Xing-Yu Li, Jue-Fei Pu, Hao-Nan Li et al. · 0 citations