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
Zhao, M., Wang, Z., Wan, J., Lu, G. and Liu, W. (2024) 'A novel neural network architecture utilizing parametric-logarithmic-modulus-based activation function: Theory, algorithm, and applications'. Knowledge-Based Systems, 303. pp. 1 - 11. ISSN: 0950-7051 Open Access Link
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, 0 (early access). pp. 1 - 21.Open Access Link
Wen, C., Wu, X., Wang, Z., Liu, W. and Yang, J. (2024) 'A novel local feature fusion architecture for wind turbine pitch fault diagnosis with redundant feature screening'. Complex and Intelligent Systems, 10 (6). pp. 8109 - 8125. ISSN: 2199-4536 Open Access Link
Zhang, Y., Lan, R., Li, X., Fang, J., Ping, Z., Liu, W. and et al. (2024) 'Class Imbalance Wafer Defect Pattern Recognition Based on Shared-Database Decentralized Federated Learning Framework'. IEEE Transactions on Instrumentation and Measurement, 73. pp. 1 - 17. ISSN: 0018-9456 Open Access Link
Wen, C., Xue, Y., Liu, W., Chen, G. and Liu, X. (2024) 'Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks'. Neurocomputing, 576. pp. 1 - 1. ISSN: 0925-2312