I am a goal-oriented research scientist working in Meta. My research interests include system and software security. I am currently researching on software vulnerability detection.

🔥 News

• 2026.11:  🎉🎉🎉 Our paper “Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation” has been accepted in NDSS 2026 conference.

📝 Publications

NDSS 2026 | Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation, Yu Liang, Peng Liu.

USENIX Security 2022 | Detecting Logical Bugs of DBMS with Coverage-based Guidance, Yu Liang, Song Liu, and Hong Hu.

ASPLOS 2022 | Who Goes First? Detecting Go Concurrency Bugs via Message Reordering, Ziheng Liu, Shihao Xia, Yu Liang, Linhai Song, and Hong Hu.

AAMAS-21 | Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic, Yu Liang, Amulya Yadav

arXiv-25 | Parser Knows Best: Testing DBMS with Coverage-Guided Grammar-Rule Traversal, Yu Liang, Hong Hu

🧠 Work Experience

• 2025.08 - NOW: Research Scientist, Meta Platforms, Inc.

📖 Educations

• 2019.08 - 2025.08: Ph.D. of Informatics, Pennsylvania State University
• 2018.08 - 2019.08: Master of Engineering Science, Pennsylvania State University
• 2014.09 - 2018.07: Bachelor of Civil Engineering, China University of Mining & Technology (Beijing)