Publications - Xinyue Li

2026

Fairness Testing of Large Language Models in Role-Playing

Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Ying Xiao, Tianlin Li, Weisong Sun, Yang Liu, Yiling Lou, Xuanzhe Liu

ACM International Conference on the Foundations of Software Engineering (FSE) 2026

This work studies fairness testing for LLM role-playing and characterizes social bias risks across diverse roles and prompts.

[Paper][Code]

2025

Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems

Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu

ACM Transactions on Software Engineering and Methodology (TOSEM) 2025

This work studies trustworthy evaluation of automated pedestrian detection in autonomous driving systems across demographic groups and driving scenarios.

[Paper][PDF][Code]

Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software

Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu

International Conference on Software Engineering (ICSE) 2025

This paper introduces FairHOME, an input-mutation ensemble approach for improving the trustworthiness of ML software.

[Paper][Code]

Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game?

Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Weisong Sun, Ying Xiao, Tianlin Li, Yiling Lou, Yang Liu

ACM International Conference on the Foundations of Software Engineering (FSE) 2025

This paper studies how bias mitigation changes the behavior and tradeoffs of ML software.

[Paper][Code]

Hypergraph Neural Network-based Multi-Granular Root Cause Localization for Microservice Systems

Yaxiao Li, Lu Wang, Chenxi Zhang, Qingshan Li, Siming Rong, Baiyang Wen, Xuyang Li, Kun Ma, Quanwei Du, KeYang Li, Lingfeng Pan, Xinyue Li, Mingxuan Hui

IEEE/ACM International Conference on Automated Software Engineering (ASE) 2025

This work applies hypergraph neural networks to multi-granular root cause localization for microservice systems.

[Paper][Code]