About

I am a third-year PhD student at King's College London, supervised by Prof. Jie M. Zhang, and a visiting student at the Southern University of Science and Technology, supervised by Prof. Yepang Liu. Previously, I earned my MSc from the University of Birmingham with Prof. Edward Tarte and my BEng from Guangzhou University with Prof. Zhijia Zhao. I am committed to advancing trustworthy and reliable AI software and agents. My research interests primarily focus on AI agents, AI ethics, AI4Healthcare, SE4AI.

News

Mar 2026

Paper accepted at FSE 2026 — “Fairness Testing of Large Language Models in Role-Playing”

Dec 2025

Paper accepted at ICSE 2026 — “Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software”

Nov 2025

Paper accepted in Philosophical Transactions of the Royal Society A — “Mitigating Medical Bias in Large Language Models by Prompt Engineering”

Apr 2024

Paper accepted at FSE 2024 — “MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions”

Selected Publications

FSE 2026 Core A* CCF-A

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

Proceedings of the ACM on Software Engineering (FSE 2026), 2026

ICSE 2026 Core A* CCF-A

Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software

Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, Yepang Liu, and Jie M. Zhang

IEEE/ACM 48th International Conference on Software Engineering, 2026

Phil. Trans. Royal Soc. A JCR Q1

Mitigating Medical Bias in Large Language Models by Prompt Engineering: An Empirical Study of Effectiveness and Trade-offs

Ying Xiao, Zhenpeng Chen, and Jie M. Zhang

Philosophical Transactions of the Royal Society A

FSE 2025 Core A* CCF-A

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, and Yang Liu

Proceedings of the ACM on Software Engineering (FSE 2025)

FSE 2024 Core A* CCF-A

MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions

Ying Xiao, Jie M. Zhang, Yepang Liu, Mohammad Reza Mousavi, Sicen Liu, Dingyuan Xue

Proceedings of the ACM on Software Engineering (FSE 2024)

ICSE 2023 Core A* CCF-A

A Comprehensive Study of Real-World Bugs in Machine Learning Model Optimization

Hao Guang, Ying Xiao, Jiaying Li, Yepang Liu, Guangdong Bai

IEEE/ACM 45th International Conference on Software Engineering, 2023

Preprints

Preprint

Bias in Large AI Models for Medicine and Healthcare: Survey and Challenges

Ying Xiao, Zhenpeng Chen, Jen-tse Huang, Wenting Chen, Yepang Liu, Kezhi Li, Mohammad Reza Mousavi, Richard Dobson, and Jie M. Zhang

Preprint

AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and Healthcare

Ying Xiao, Jie Huang, Ruijuan He, Jing Xiao, Mohammad Reza Mousavi, Yepang Liu, Kezhi Li, Zhenpeng Chen, Jie M. Zhang

Preprint

FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software

Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, and Yepang Liu

Invited Talks

2026

Mitigating machine learning software bias via correlation tuning — London, United Kingdom

2024

Mitigating machine learning software bias via ensembling counterfactual predictions — Porto de Galinhas, Brazil