About me

I am a Ph.D. student in the School of Computing at the National University of Singapore (NUS). I’m working with Prateek Saxena as my advisor. Here is my CV.

Research Interests

• Software Security
• Code Translation
• Large Language Models

Publications

2023 - Now

1. [ESEC/FSE 2023] TransMap: Pinpointing Mistakes in Neural Code Translation.
   Bo Wang, Ruishi Li, Mingkai Li, Prateek Saxena. Paper, Code

2. [NDSS 2025] Translating C To Rust: Lessons from a User Study.
   Ruishi Li*, Bo Wang*, Tianyu Li, Prateek Saxena, Ashish Kundu. Paper

Before 2022

1. [CyberSecurity Journal] The inconsistency of documentation: a study of online C standard library documents.
   Ruishi Li, Yunfei Yang, Jinghua Liu, Peiwei Hu, Guozhu Meng. Paper

2. [CCS 2020] RTFM! Automatic Assumption Discovery and Verification Derivation from Library Document for API Misuse Detection.
   Tao Lv, Ruishi Li, Yi Yang, Kai Chen, Xiaojing Liao, XiaoFeng Wang, Peiwei Hu and Luyi Xing. Paper, Code

Teaching

Past modules I have TAed:

• Computer Security (CS3235, Spring 2024)
• Computer Security (CS3235, Spring 2023)

Experience

• Intern, Deloitte Tax and Business Advisory Department(Wuhan, Beijing), July 2018 - Aug. 2018

Reported Bugs

Anjuta: CVE-2020-22617; Gsequencer: Memory Leak; Mumble: Memory Leak; Colord: Memory Leak