Published in IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2024
Proposes a hardware-software co-design approach that leverages naturally occurring hardware noise from transistor degradation as a low-power, computing-free source of noise for Local Differential Privacy.
Published in Under Double-Blind Review, 2025
The first analysis of GitHub Actions’ influence on test code review, leveraging 213,511 pull requests and 600,905 review comments from six large-scale GitHub projects.
Published in International Symposium on Empirical Software Engineering and Measurement (ESEM 2026), 2026
Introduces PolyHuman, the first dataset for evaluating cross-language code functional equivalence on human-written code, and shows LLMs are far less reliable on human-written code than on synthetic code.
Published in Under Double-Blind Review, 2026
An agentic LLM-based approach for automatically detecting and refactoring workflow smells in GitHub Actions, currently under double-blind review.
Published in Proceedings of the 35th ACM International Conference on Information and Knowledge Management (CIKM), 2026
A joint spatio-temporal dependency modeling approach for network traffic prediction, accepted at CIKM 2026.