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, where I am supervised by Prof. Yepang Liu. Previously, I earned my MSc from the University of Birmingham with Prof. Edware Tarte and my BEng from Guangzhou University with Prof. Zhijia Zhao. My research interests primarily focus on AI Agents, AI Ethics, AI for Healthcare (AI4Healthcare), AI for Software Engineering (AI4SE), and Software Engineering for AI (SE4AI).

Publications

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.

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.

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.

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.

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.
In: Proceedings of the ACM on Software Engineering, Volume 2, Issue FSE, pp.1780-1801, June 23-27, 2025, Trondheim, Norway.

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,
In: Proceedings of the ACM on Software Engineering 1, no. FSE (2024): 2121-2143.

A Comprehensive Study of Real-World Bugs in Machine Learning Model Optimization
Hao Guang, Ying Xiao, Jiaying Li, Yepang Liu, Guangdong Bai.
In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp. 147-158. IEEE, 2023.

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.