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. Over the years, he has held several 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. With over three decades of experience in AI, data science, and optimisation, Professor Liu has been recognised by Clarivate/Web of Science as a Highly Cited Researcher for 11 consecutive years (since 2014) in categories such as Computer Science, Engineering, and Cross-Field research.
Newest selected publications
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, 5 (12). pp. 5894 - 5914.Open Access Link
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
Song, B., Liu, Y., Fang, J., Liu, W., Zhong, M. and Liu, X. (2024) 'An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples'. Neurocomputing, 574. pp. 1 - 12. ISSN: 0925-2312
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
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. 1 - 8. ISSN: 0952-1976 Open Access Link