Ding Li

I am an Assistant Professor at the School of Computer Science at Peking University. My research interests are in system security and program analysis. I am working on developing a next-generation AIOps system that integrates machine learning techniques with program and system analysis techniques to detect and resolve security, performance, and runtime issues in enterprise environments. I have published more than 50 papers, which have received more than 2500 citations. I was ranked second among the most influential early-career software engineering researchers between 2010 and 2017 by the Journal of Systems and Software. I also received the ISSTA 2023 Impact Paper Award and the ISSTA 2023 Distinguished Paper Award.

Currently, I am leading the following projects:

1. WASEM: A general symbolic execution engine for WASM bytecode[ISSTA’23(Distinguished Paper)][CCS’23][OOPSLA’25]
2. A-SysArmor: An AI enhanced provenance-based intrusion detection system. We can automatically recover attack traces of APT attacks and generate comprehensive reports with AI! This has also been integrated to Huawei OpenEuler Community [SEC’23] [TDCS’23][NDSS’24][HPCA’25][TDCS’25][RTSS’25][NDSS’25]
   1. We have also extended our provenance analysis algorithm, [NodLink], to broader areas like adversarial query detection for AI systems[S&P’25] and promotion abuse fraud detection[S&P’26]