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Professor Xiaohui Liu
Professor - Computing


Xiaohui Liu is Professor of Computing at Brunel University London where he conducts research in artificial intelligence, data science and optimization, with applications in diverse areas including biomedicine and engineering.  Xiaohui has held senior visiting positions in Leiden, Harvard and Chinese Academy of Sciences, advised UK Research Councils on data analytics, genomics and security as well as the Royal Statistical Society/the Institute and Faculty of Actuaries on statistical education at UK schools in light of big data.  Professor Liu founded the international symposium series on Intelligent Data Analysis (1995 & 1997), served on the international panel to assess the quality of computer science research in the Netherlands (2015-16),  and since 2014, he has been named as a Highly Cited Researcher for nine consecutive years in Computer Science, Engineering, or Cross-Field (Clarivate/Web of Science).


  • Chair of Industry Advisory Board, Department of Computer Science (2016-18)
  • Doctoral Programme Director, Department of Computer Science (2008-13) 
  • Deputy Head of School (Research), School of Information Systems, Computing and Mathematics (2006-14)
  • Research Director, Department of Computer Science (2006-12)
  • Director, Centre for Intelligent Data Analysis (2000-14)

Newest selected publications

Liu, Z., Luo, X., Wang, Z. and Liu, X. (2022) 'Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection'. Information Fusion, 89. pp. 588 - 602. ISSN: 1566-2535

Journal article

Zhu, K., Wang, Z., Wei, G. and Liu, X. (2022) 'Adaptive Set-Membership State Estimation for Nonlinear Systems Under Bit Rate Allocation Mechanism: A Neural-Network-Based Approach'. IEEE Transactions on Neural Networks and Learning Systems, 0 (ahead of print). pp. 1 - 12. ISSN: 2162-237X

Journal article

Zeng, N., Wu, P., Wang, Z., Li, H., Liu, W. and Liu, X. (2022) 'A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach with Application to Defect Detection'. IEEE Transactions on Instrumentation and Measurement, 71. pp. 1 - 14. ISSN: 0018-9456

Journal article

Wang, Y., Liu, W. and Liu, X. (2022) 'Explainable AI techniques with application to NBA gameplay prediction'. Neurocomputing, 483. pp. 59 - 71. ISSN: 0925-2312 Open Access Link

Journal article

Li, M., Wang, Z., Li, K., Liao, X., Hone, K. and Liu, X. (2021) 'Task Allocation on Layered Multi-Agent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning'. IEEE Transactions on Evolutionary Computation, 25 (5). pp. 842 - 855. ISSN: 1089-778X Open Access Link

Journal article
More publications(224)