- Hello, I am Shenglong, my English name is James.
- I am currently a third year CS PhD Student supervised by Prof. Wenke Lee at Georgia Tech in Computer Security.
- I got my B.S. in CS from City University of Hong Kong, supervised by Prof. Cong Wang.
- Before joining Georgia Tech, I have worked as a research intern at UCSB SecLab with Prof Christopher Kruegel and Prof. Giovanni Vigna.
Research Interest
- I am interested in everything related to computer security.
- Currently, my research interests include but are not limited to software security and system security. I am also interested in applying machine learning method, especially LLM, in security area.
Publication
- Yupeng Yang, Shenglong Yao, Jizhou Chen, Wenke Lee. “Hybrid Language Processor Fuzzing via LLM-Based Constraint Solving”. USENIX Security 25.
- Jiasi Weng, Shenglong Yao, Yuefeng Du, Junjie Huang, Jian Weng, Cong Wang. “Proof of Unlearning: Definitions and Instantiation”. IEEE Transactions on Information Forensics & Security. [pdf]
- Yiren Liu, S. Joe Qin, Xiangyu Zhao, Yixiao HUANG, Shenglong Yao, Guo Han. “Dynamic Statistical Learning with Engineered Features Outperforms Deep Neural Networks for Smart Building Cooling Load Predictions”. NeurIPS 2022 Workshop ICBINB. [pdf], [poster]
Service
- ICSE 26 Shadow PC
- Sub Reviewer for NDSS 25, NSDI 25, NDSS 26, Usenix Security 26
- Official Reviewer for IEEE Transactions on Information Forensics & Security
- Official Reviewer for NeurIPS 2023 Workshop ICBINB
Personal Interest
- I am interested in hacking and like playing CTF competitions as a PWNer.
- I am the leader of CITYFHK CTF Team of CityU and team member of Shellphish CTF Team.
- In my leisure time, I prefer to do computer geek activities and electronic DIYs.
- I also enjoy sports activities such as table tennis, basketball and swimming.
Skills
- Programming Language: C/C++, Java, Python, JavaScript
- Hacking: Master proficient skills in binary exploitation (PWN) and web hacking
- Back-end Operation: Good Knowledge of Linux, Cloud Computing and Server / Container Management
- Artificial Intelligence: Good knowledge of Machine Learning and Large Language Model, Competition experience in data wrangling and model training
- ML & Security: Knowledge in Machine Learning Robustness and Adversarial Attack
- Program Analysis: Skills in common static and dynamic software analysis tools such as Intel Pin and LLVM
