Xinyue Liu (刘心悦)
I’m currently an assistant professor (弘深青年教师) at Chongqing University (重庆大学), School of Big Data & Software engineering. Before joining Chongqing University, I was advised by Lukasz Ziarek at University at Buffalo, USA.
My research lies at the intersection of Software Engineering and Programming Language Theory. I am currently working on AI-assisted analysis and verification of Web applications, with a particular focus on dependency security in the Web ecosystem. Besides, I am broadly interested in software development and maintenance problems that can be addressed through program analysis techniques.
I welcome opportunities for academic collaboration, student advising, and industrial cooperation. Contact me through: aaronxyliu@cqu.edu.cn.
A printable CV of mine can be found here.
If you are a new Ph.D. student who wants to explore the path on software engineering and programming language theory, you may be interested in reading my blog series Randomized Algorithm and Easy Foundations for Programming Languages.
Experience
- 2016.09 - 2020.06: Nanjing University (NJU 南京大学), Bachelor
- 2021.02 - 2025.08: University at Buffalo (UB), Ph.D.
- 2025.11 - Now: Chongqing University, Assistant Professor
Publications
X. Liu, H. Cai, L. Ziarek, “PTV: Scalable Version Detection of Web Libraries and its Security Application,” the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026). CCF-A (Acceptance: 24.2%, 160/660) [pdf] [supplementary material]
X. Liu, Z. Song, W. Fang, W. Yang, W. Wang, “WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests,” The Web Conference 2024 (WWW 2024). CCF-A (Acceptance: 20.2%, 405/2008) [pdf]
X. Liu, L. Ziarek, “PTdetector: An Automated JavaScript Front-end Library Detector,” 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023). CCF-A (Acceptance: 21%, 103/629) [pdf]
Y. Yan, Y. Zheng, X. Liu, N. Medvidovic, W. Wang, “AdHere: Automated Detection and Repair of Intrusive Ads,” 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023). CCF-A (Acceptance: 26%, 209/796) [pdf]
A. Romano, X. Liu, Y. Kwon, W. Wang, “An Empirical Study of Bugs in WebAssembly Compilers,” 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021). CCF-A (Acceptance: 19.2%, 82/427) [pdf]
X. Liu, Yanhui Li , “Is Bigger Data Better for Defect Prediction: Examining the Impact of Data Size on Supervised and Unsupervised Defect Prediction,” 12 pages, Sep. 2019, WISA 2019 [pdf]