- Testing Access-Control Configuration Changes for Web Applications
- Effective Bug Detection with Unused Definitions
- Can Systems Explain Permissions Better? Understanding Users' Misperceptions under Smartphone Runtime Permission Model
- PYLIVE: On-the-Fly Code Change for Python-based Online Services
- PracExtractor: Extracting Configuration Good Practices from Manuals to Detect Server Misconfigurations
- Towards Continuous Access Control Validation and Forensics
Research Experience
Before joining Meta, was a Ph.D. student in the Opera Group and Sysnet Group at UCSD; currently a research scientist at Meta AI, focusing on Agentic Search.
Education
Ph.D. from UCSD, supervised by Prof. Yuanyuan Zhou; Master and Bachelor degrees from Shanghai Jiao Tong University (SJTU).
Background
Research Interests: Agentic Search, testing access-control configuration changes, understanding permission models. A research scientist at Meta AI, working on Agentic Search.
Miscellany
Contact: c4xiang at ucsd.edu; Social and academic platforms: Scholar, Github, Linkedin