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Ziqi Xu Lecturer in Data Science and Artificial Intelligence School of Computing Technologies RMIT University Email: ziqi.xu@rmit.edu.au Office: Building 14, 414-418 Swanston St, Melbourne VIC 3000 [Google Scholar] [LinkedIn] [RMIT] [DBLP] [Thesis]

Short Bio

I am a Lecturer in Data Science and Artificial Intelligence at the School of Computing Technologies, RMIT University. Before joining RMIT, I was a CERC Fellow at Data61, CSIRO. I obtained my Ph.D. from University of South Australia and my Master’s degree from The University of Adelaide; these institutions have now been integrated into the Adelaide University. I have a broad interest in Responsible AI, particularly in causal inference, fairness, and explainable AI. My long-term goal is to build machine learning systems that are efficient, robust, fair, and interpretable.

Highlight Papers

IEEE Transactions on Knowledge and Data Engineering (TKDE)

Fairness in Graph Learning Augmented with Machine Learning: A Survey

A survey of fairness challenges and approaches in machine-learning-augmented graph learning.

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IEEE Transactions on Intelligent Transportation Systems (TITS)

Artificial Intelligence in Autonomous Vehicles: A Survey From a Fairness Perspective

A fairness perspective on artificial intelligence for autonomous vehicles.

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ACM Transactions on Computing for Healthcare

Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia Accepted · To Appear

Reviewing explainable GNNs for brain connectivity and dementia biomarkers.