Professor Xiaohui Liu
Professor - Computing
Wilfred Brown Building 218
- Email: xiaohui.liu@brunel.ac.uk
- Tel: +44 (0)1895 265989
Summary
Xiaohui Liu joined Brunel University of London as a Professor of Computing in 2000. Since then, he has held several distinguished visiting positions, including at Leiden University (2004), Harvard Medical School (2005), and the Chinese Academy of Sciences (2010). In 1995, he founded the International Symposium on Intelligent Data Analysis (IDA) to advance an interdisciplinary approach to data analysis, drawing on techniques from statistics, artificial intelligence, and related fields.
Professor Liu is the recipient of the Daniel Berg Award (2023), the Research.com Computer Science Leader in the United Kingdom Award (2023-24), and the Research.com Electronics and Electrical Engineering Leader in the United Kingdom Award (2023-24). Since 2014, he has been recognised by Clarivate/Web of Science as a Highly Cited Researcher for 11 consecutive years in Computer Science, Engineering, or Cross-Field research.
Responsibility
- 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
Islam, T., Miron, A., Nandy, M., Choudrie, J., Liu, X. and Li, Y. (2024) 'Transforming Digital Marketing with Generative AI'. Computers, 13 (7). pp. 1 - 24.Open Access Link
Chen, Z., Yang, R., Huang, M., Wang, Z. and Liu, X. (2024) 'Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification'. IEEE Transactions on Emerging Topics in Computational Intelligence, 0 (early access). pp. 1 - 15.
Shen, Y., Wang, Z., Dong, H., Liu, H. and Liu, X. (2024) 'Joint State and Unknown Input Estimation for a Class of Artificial Neural Networks With Sensor Resolution: An Encoding–Decoding Mechanism'. IEEE Transactions on Neural Networks and Learning Systems, 0 (early access). pp. 1 - 11. ISSN: 2162-237X
Xue, Y., Yang, R., Chen, X., Liu, W., Wang, Z. and Liu, X. (2024) 'A Review on Transferability Estimation in Deep Transfer Learning'. IEEE Transactions on Artificial Intelligence. pp. 1 - 21.
Fang, J., Wang, Z., Liu, W., Chen, L. and Liu, X. (2023) 'A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing'. Engineering Applications of Artificial Intelligence, 131 (May 2024). pp. 107700 - 107700. ISSN: 0952-1976