Dr Weibo Liu
Lecturer in Computer Science
Wilfred Brown 114
- Email: weibo.liu2@brunel.ac.uk
- Tel: +44 (0)1895 266090
Summary
Dr. Weibo Liu received the B.S. degree in electrical engineering from the Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool, UK, in 2015, and the Ph.D. degree in artificial intelligence in 2020 from the Department of Computer Science, Brunel University London, Uxbridge, UK.
He is currently Lecturer in the Department of Computer Science, Brunel University London, U.K. His research interests include big data analysis, evolutionary computation, machine learning and deep learning techniques. He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation. He is a very active reviewer for many international journals and conferences.
Responsibility
Program Committees I am / have been on the program committee for the 25th International Conference on Automation and Computing (ICAC) 2017.
Newest selected publications
Wang, C., Wang, Z., Liu, Q., Dong, H., Liu, W. and Liu, X. (2025) 'A comprehensive survey on domain adaptation for intelligent fault diagnosis'. Knowledge Based Systems, 327. pp. 1 - 16. ISSN: 0950-7051 Open Access Link
Song, B., Zhao, S., Wang, Z., Liu, W. and Liu, X. (2025) 'DAF-DETR: A dynamic adaptation feature transformer for enhanced object detection in unmanned aerial vehicles'. Knowledge Based Systems, 323. pp. 1 - 13. ISSN: 0950-7051 Open Access Link
Wang, Q., Zou, L. and Liu, W. (2025) '2D-Variation convolution-based generative adversarial network for unsupervised time series anomaly detection: a MSTL enhanced data preprocessing approach'. Applied Intelligence, 55 (7). pp. 1 - 16. ISSN: 0924-669X
Ma, G., Wang, Z., Yang, Z., Chen, R., Liu, W., Zhang, Y. and et al. (2025) 'A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces'. IEEE Transactions on Industrial Informatics, 21 (7). pp. 5150 - 5159. ISSN: 1551-3203 Open Access Link
Zhou, T., Wang, Z., Liu, X., Liu, W. and Zhu, S. (2025) 'Learning deep feature representations for multi-modal MR brain tumor segmentation'. Neurocomputing, 638. pp. 1 - 12. ISSN: 0925-2312