Dr Yueqing Xuan is a Research Fellow at the RMIT Node of ADM+S

Yueqing’s current research focuses on human-centred explainable Artificial Intelligence (AI). She aims to develop more accessible Machine Learning (ML) explainability tools by leveraging Large Language Models (LLMs) to translate complex ML systems into explanations that are understandable for non-expert users.

Yueqing completed her PhD in Computer Science at RMIT University. Her doctoral research examined the role of user diversity in shaping fair and explainable machine learning systems, demonstrating how differences in user backgrounds, needs, and behaviours should inform ML system design.

Her broader research interests include fairness and performance in recommender systems, as well as explainable AI from both user-centred and algorithmic perspectives. Overall, her work is dedicated to advancing responsible AI systems that are effective and inclusive for diverse user groups.