About Me

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. 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.

I am currently on the job market and seeking a postdoctoral position in research related to AI agents, AI alignment, SE4AI and AI4Healthcare.

News

• Dec 17th, our paper "Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software" (by Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, Yepang Liu, Jie Zhang) is accepted by ICSE 2026.
• Nov 22nd, our paper "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) is accepted by Philosophical Transactions of the Royal Society A.
• 15th April 2024, our paper "MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions" (by Ying Xiao, Jie M. Zhang, Yepang Liu, Mohammad Reza Mousavi, Sicen Liu, Dingyuan Xue) has been accepted by FSE 2024.

Selected 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

  IEEE/ACM 48th International Conference on Software Engineering (ICSE), 2026 Core A*CCF-A

• 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 JCR Q1

• 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) 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) 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 (ICSE), 2023 Core A*CCF-A

Preprints

• 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

• 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 Talk

• 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.