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Biography
Dr Xuhui Fan is a lecturer in Artificial Intelligence in the School of Computing at the Macquarie University. Before that, he received a bachelor's degree in mathematical statistics in China, and a PhD degree in computer science from the University of Technology Sydney, Australia. He then worked as a project engineer at Data61 (previously NICTA), as a postdoc fellow in the School of Mathematics and Statistics at the University of New South Wales, and as a lecturer at the University of Newcastle, Australia.
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Collaborations and top research areas from the last five years
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LP23: Ethical Enterprise Representations for Personalised Sustainable Finance
Cao, L. (Primary Chief Investigator), Liao, Y. (Chief Investigator), Bu, D. (Chief Investigator), Mollica, V. (Chief Investigator) & Fan, X. (Chief Investigator)
1/07/25 → 30/06/28
Project: Research
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Causal-informed Digital Twins for Diabetes: Enabling Interpretable and Trustworthy Precision Medicine
Fan, X. (Primary Chief Investigator) & Pongpaichet, S. (Primary Chief Investigator)
Project: Research
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Data-dependent Rectangular Bounding Processes
Fan, X., Li, B., Rahman, P. A. & Sisson, S. A., Feb 2026, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 48, 2, p. 1485-1502 18 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
Federated neural nonparametric point processes
Chen, H., Fan, X., Liu, H., Li, Y., Zhao, Z., Zhou, F., Quinn, C. J. & Cao, L., Feb 2026, In: Artificial Intelligence. 351, p. 1-19 19 p., 104454.Research output: Contribution to journal › Article › peer-review
Open AccessFile38 Link opens in a new tab Citations (Scopus)4 Downloads (Pure) -
FigBO: a generalized acquisition function framework with look-ahead capability for bayesian optimization
Chen, H., Fan, X., Wu, Z. & Cao, L., May 2026, In: Machine Learning. 115, 5, p. 1-23 23 p., 110.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Link opens in a new tab Citations (Scopus)2 Downloads (Pure) -
FMSA: few-shot multimodal sentiment analysis for social media via integrated prompt learning and vision-language models
Zhu, X., Feng, H., Cambria, E., Yu, X., Santamaria, J., Fan, X. & Wang, R., 2026, In: IEEE Transactions on Affective Computing. 17, 3, p. 3405-3419 15 p.Research output: Contribution to journal › Article › peer-review
12 Link opens in a new tab Citations (Scopus) -
Hyperbolic-enhanced mixture-of-experts mamba for sequential recommendation
Liu, Y., Qi, L., Mao, X., Liu, W., Fan, X., Ni, Q., Zhang, X., Zhang, Y., Tian, Y. & Beheshti, A., 2026, In: Proceedings of the AAAI Conference on Artificial Intelligence. 40, 18, p. 15403-15411 9 p.Research output: Contribution to journal › Conference paper › peer-review
Open Access5 Link opens in a new tab Citations (Scopus)