Yuzhou Fang is a Ph.D. student at the Dept. of Computer Science, the University of Southern California (USC), fortunately to be advised by Prof. Chao Wang. Prior to USC, he was a Research Assistant at the Chinese University of Hong Kong (CUHK) and the Hong Kong University of Science and Technology (HKUST), respectively, advised by Prof. Daoyuan Wu and Prof. Shuai Wang. He received his B.E. in Cybersecurity from the School of Cyber Science and Engineering, Sichuan University, in 2021.
His research interest lies in the intersection of Software Engineering, Programming Language, and Computer security. Specifically, he aims to improve software security by leveraing program analysis and verification techiniques.
🔥 News
- 2024.01: 🎉🎉 I will be serving on the CAV AEC program committee in 2024.
- 2023.11: 🎉🎉 Welcome to my new homepage!
- 2023.08: 🎉🎉 I started my Ph.D. at USC CS.
- 2023.05: 🎉🎉 Our paper for detecting insecure modifiers in smart contracts has been accepted by ISSTA’23!
📖 Educations
- 2023.08 - current, Department of Computer Science, University of Southern California.
- 2017.09 - 2021.06, School of Cyber Science and Engineering, Sichuan University.
💻 Experiences
- 2022.10 - 2023.08, Research Assistant, the Hong Kong University of Science and Technology.
- 2021.10 - 2022.10, Research Assistant, the Chinese University of Hong Kong.
- 2019.07 - 20219.08, Visiting Student, National University of Singapore.
📝 Publications
- Beyond “Protected” and “Private”: An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts, Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, Lingxiao Jiang, ISSTA 2023.
- BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects, Xiao Yi, Yuzhou Fang, Daoyuan Wu, Lingxiao Jiang (2023), NDSS 2023.
- An Empirical Study of Blockchain System Vulnerabilities: Modules, Types, and Patterns, Xiao Yi, Daoyuan Wu, Lingxiao Jiang, Yuzhou Fang, Kehuan Zhang, Zhang Wei, FSE 2022.
- A novel framework for detecting social bots with deep neural networks and active learning, Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Jin, JIng, Wei, Lai, Haizhou Wang, KBS 2021.
- Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine, Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Wei, Lai, Jin, Jing, Haizhou Wang, WISE 2020.
💬 Services
- Journal Reivewer: IEEE TIFS, IEEE TDSC.
- Program Committee: USENIX Security’24 AEC, CAV’24 AEC, ECOOP’24 AEC.
- External Review: PRDC’22, TSE’22’23, RAID’23, ICICS’23, FSE’23’24, CC’24.
😁 Honors and Awards
- ACM SigSOFT CAPS Travel Grant, ESEC/FSE, 2022.