Portrait of Xinyue Li
Xinyue Li
Peking University Ph.D. Student @ Peking University

I am a third-year Ph.D. student in the Department of Computer Science at Peking University. I am advised by Prof. Xuanzhe Liu and co-advised by Dr. Zhenpeng Chen.

My research mainly focuses on Software Engineering and Trustworthy AI. I am particularly interested in building reliable, safe, and transparent AI-enabled software systems.

Currently, I am visiting HKUST WANDS Lab, advised by Prof. Mo Li.

I am looking for internship, job and postdoc opportunities.


Education
  • Peking University
    Peking University
    Ph.D. in Computer Software and Theory
    Sep. 2023 - present
  • Southwest University
    Southwest University
    B.S. in Computer Science
    Sep. 2019 - Jun. 2023
Selected Honors
  • Merit Student Pacesetter
    2024-2025
  • BYD Scholarship
    2024-2025
  • Luo Yuehua Scholarship
    2023-2024
  • Student of the Year (Top 15)
    2021-2022
  • Presidential Scholarship
    2021-2022
  • CCPC Gold Medal
    2021
  • National Scholarship
    2020-2021
News
2026
Our paper on fairness testing of LLMs in role-playing scenarios has been accepted by FSE 2026.
Jun
2025
Our paper on the software fairness dilemma has been accepted by FSE 2025.
Jan
Our paper on intersectional fairness of ML software has been accepted by ICSE 2025.
Jan
Our paper on fairness testing of autonomous driving systems has been published in TOSEM 2025.
Jun
Selected Publications (view all )
TOSEM 2025 paper overview
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

A study on trustworthy evaluation of autonomous driving perception systems across demographic groups and driving scenarios.

TOSEM 2025 paper overview
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

A study on trustworthy evaluation of autonomous driving perception systems across demographic groups and driving scenarios.

FSE 2026 paper overview
Benchmarking Bias in Large Language Models During Role-Playing

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

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

An evaluation benchmark for understanding reliability risks in LLM role-playing scenarios.

FSE 2026 paper overview
Benchmarking Bias in Large Language Models During Role-Playing

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

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

An evaluation benchmark for understanding reliability risks in LLM role-playing scenarios.

ICSE 2025 paper overview
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

A software engineering approach for improving the trustworthiness of machine learning software.

ICSE 2025 paper overview
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

A software engineering approach for improving the trustworthiness of machine learning software.