I am pursuing a Ph.D. in Computer Science at Northwestern University, advised by Dr. Xinyu Xing. My research primarily focuses on System Security. My research interest is developing advanced AI-driven cybersecurity strategies to protect critical software infrastructures. Prior to joining Northwestern, I obtained my B.Eng. degree in Computer Science and Engineering at SUSTech in 2022.
News
Contributed to the 42-b3yond-6ug team’s victory in the AIxCC Semi-Finals, securing a $2 million award. I took charge of our fuzzing subsystem and the whole pipeline integration for the competition.
Our team, 42-b3yond-6ug, was selected by DARPA as one of the top seven teams to receive $1 million to support our participation in the AIxCC competition.
Led the BandFuzz team to first place in the 2024 SBFT Fuzzing Competition. Our fuzzer outperformed industry-standard products such as AFL++ and libFuzzer, achieving the highest score.
Publication
Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
Wenxuan Shi,Yunhang Zhang,Xinyu Xing,Jun Xu
10.1145/3643659.3648563
BandFuzz: A Practical Framework for Collaborative Fuzzing with Reinforcement Learning
Wenxuan Shi,Hongwei Li,Jiahao Yu,Wenbo Guo,Xinyu Xing
10.1145/3597926.3598106
Alligator In Vest: A Practical Failure-Diagnosis Framework via Arm Hardware Features
Yiming Zhang,Yuxin Hu,Haonan Li,Wenxuan Shi,Zhenyu Ning,Xiapu Luo,Fengwei Zhang