Dr Weibo Liu
Lecturer in Computer Science
Wilfred Brown 114
- Email: weibo.liu2@brunel.ac.uk
- Tel: +44 (0)1895 266090
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
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
Xue, Y., Wen, C., Wang, Z., Liu, W. and Chen, G. (2024) 'A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data'. Knowledge-Based Systems, 283. pp. 1 - 15. ISSN: 0950-7051 Open Access Link
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 Open Access Link
Liu, Z., Yang, R., Liu, W. and Liu, X. (2023) 'IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity'. Neurocomputing, 561. pp. 1 - 11. ISSN: 0925-2312
Qin, C., Yang, R., Huang, M., Liu, W. and Wang, Z. (2023) 'Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample Vicinity'. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31. pp. 3675 - 3686. ISSN: 1534-4320 Open Access Link
Wu, X., Wen, C., Wang, Z., Liu, W. and Yang, J. (2023) 'A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data'. Cognitive Computation, 0 (ahead of print). pp. 1 - 14. ISSN: 1866-9956 Open Access Link
Guijun, M., Wang, Z., Weibo, L., Jingzhong, F., Yong, Z., Han, D. and et al. (2023) 'Estimating the state of health for Lithium-ion batteries: a particle swarm optimization-assisted deep domain adaptation approach'. IEEE/CAA Journal of Automatica Sinica, 10 (7). pp. 1530 - 1543. ISSN: 2329-9266
Wang, Y., Liu, W., Wang, C., Fadzil, F., Lauria, S. and Liu, X. (2023) 'A Novel Multi-Objective Optimization Approach with Flexible Operation Planning Strategy for Truck Scheduling'. International Journal of Network Dynamics and Intelligence, 2 (2). pp. 1 - 10.Open Access Link
Fang, J., Liu, W., Chen, L., Lauria, S., Miron, A. and Liu, X. (2023) 'A Survey of Algorithms, Applications and Trends for Particle Swarm Optimization'. International Journal of Network Dynamics and Intelligence, 2 (1). pp. 24 - 50.Open Access Link
Zhang, J., Wang, Z., Liu, W., Liu, X. and Zheng, Q. (2023) 'A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors'. International Journal of Machine Learning and Cybernetics, 14 (9). pp. 2903 - 2912. ISSN: 1868-8071 Open Access Link
Chen, M., Ma, G., Liu, W., Zeng, N. and Luo, X. (2023) 'An Overview of Data-driven Battery Health Estimation Technology for Battery Management System'. Neurocomputing, 532. pp. 152 - 169. ISSN: 0925-2312
Ma, G., Wang, Z., Liu, W., Fang, J., Zhang, Y., Ding, H. and et al. (2023) 'A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries'. Knowledge-Based Systems, 259. pp. 1 - 10. ISSN: 0950-7051 Open Access Link
Wang, C., Wang, Z., Liu, W., Shen, Y. and Dong, H. (2023) 'A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples'. IEEE Transactions on Instrumentation and Measurement, 72. pp. 1 - 13. ISSN: 0018-9456 Open Access Link
Yu, L., Liu, W., Liu, Y., Xue, C. and Alsaadi, FE. (2023) 'Learning-based non-fragile state estimation for switching complex dynamical networks'. Discrete and Continuous Dynamical Systems - S, 16 (7). pp. 1701 - 1721. ISSN: 1937-1632
Fang, J., Wang, Z., Liu, W., Lauria, S., Zeng, N., Prieto, C., et al. (2022) 'A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing'. IEEE Transactions on Automation Science and Engineering, 21 (2). pp. 1244 - 1257. ISSN: 1545-5955 Open Access Link
Sheng, M., Wang, Z., Liu, W., Wang, X., Chen, S. and Liu, X. (2022) 'A swarm optimizer with attention-based particle sampling and learning for large scale optimization'. Journal of Ambient Intelligence and Humanized Computing, 14 (7). pp. 9329 - 9341. ISSN: 1868-5137 Open Access Link
Zeng, N., Wang, Z., Liu, W., Zhang, H., Hone, K. and Liu, X. (2022) 'A Dynamic-Neighborhood-Based Switching Particle Swarm Optimization Algorithm'. IEEE Transactions on Cybernetics, 52 (9). pp. 9290 - 9301. ISSN: 2168-2267 Open Access Link
Zhang, J., Li, M., Liu, W., Lauria, S. and Liu, X. (2022) 'Many-objective optimization meets recommendation systems: A food recommendation scenario'. Neurocomputing, 503. pp. 109 - 117. ISSN: 0925-2312 Open Access Link
Sheng, M., Chen, S., Liu, W., Mao, J. and Liu, X. (2022) 'A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization'. Neurocomputing, 489. pp. 309 - 322. ISSN: 0925-2312
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
Sheng, M., Wang, Z., Liu, W., Wang, X., Chen, S. and Liu, X. (2022) 'A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization'. Knowledge-Based Systems, 242. pp. 1 - 13. ISSN: 0950-7051 Open Access Link
Wan, Z., Yang, R., Huang, M., Liu, W. and Zeng, N. (2021) 'EEG fading data classification based on improved manifold learning with adaptive neighborhood selection'. Neurocomputing, 482. pp. 186 - 196. ISSN: 0925-2312
Tian, L., Wang, Z., Liu, W., Cheng, Y., Alsaadi, FE. and Liu, X. (2021) 'Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications'. International Journal of Machine Learning and Cybernetics, 13 (4). pp. 1145 - 1155. ISSN: 1868-8071 Open Access Link
Tian, L., Wang, Z., Liu, W., Cheng, Y., Alsaadi, FE. and Liu, X. (2021) 'A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests'. Cognitive Computation, 13 (5). pp. 1263 - 1273. ISSN: 1866-9956 Open Access Link
Liu, W., Wang, Z., Tian, L., Lauria, S. and Liu, X. (2021) 'Melt pool segmentation for additive manufacturing: A generative adversarial network approach'. Computers and Electrical Engineering, 92. pp. 1 - 11. ISSN: 0045-7906 Open Access Link
Liu, W., Wang, Z., Zeng, N., Alsaadi, FE. and Liu, X. (2021) 'A PSO-based deep learning approach to classifying patients from emergency departments'. International Journal of Machine Learning and Cybernetics, 12 (7). pp. 1939 - 1948. ISSN: 1868-8071 Open Access Link
Yue, W., Wang, Z., Liu, W., Tian, B., Lauria, S. and Liu, X. (2020) 'An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients'. Neurocomputing, 419 (2 January 2021). pp. 287 - 294. ISSN: 0925-2312 Open Access Link
Liu, W., Wang, Z., Zeng, N., Yuan, Y., Alsaadi, FE. and Liu, X. (2020) 'A novel randomised particle swarm optimizer'. International Journal of Machine Learning and Cybernetics, 12 (2). pp. 529 - 540. ISSN: 1868-8071 Open Access Link
Zeng, N., Li, H., Wang, Z., Liu, W., Liu, S., Alsaadi, FE. and et al. (2020) 'Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip'. Neurocomputing, 425. pp. 173 - 180. ISSN: 0925-2312 Open Access Link
Rahman, IU., Wang, Z., Liu, W., Ye, B., Zakarya, M. and Liu, X. (2020) 'An N-State Markovian Jumping Particle Swarm Optimization Algorithm'. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51 (11). pp. 6626 - 6638. ISSN: 2168-2216
Liu, W., Wang, Z., Yuan, Y., Zeng, N., Hone, K. and Liu, X. (2019) 'A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer'. IEEE Transactions on Cybernetics, 51 (2). pp. 1085 - 1093. ISSN: 2168-2267 Open Access Link
Liu, W., Wang, Z., Hu, L. and Liu, X. (2019) 'A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments'.2019 IEEE 15th International Conference on Control and Automation (ICCA). Edinburgh, SCOTLAND. 1 - 19 July. IEEE. pp. 278 - 283. ISSN: 1948-3449
Liu, W., Wang, Z., Liu, X., Zeng, N. and Bell, D. (2018) 'A Novel Particle Swarm Optimization Approach for Patient Clustering from Emergency Departments'. IEEE Transactions on Evolutionary Computation, 23 (4). pp. 632 - 644. ISSN: 1089-778X Open Access Link
Zeng, N., Qiu, H., Wang, Z., Liu, W., Zhang, H. and Li, Y. (2018) 'A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease'. Neurocomputing, 320. pp. 195 - 202. ISSN: 0925-2312
Zeng, N., Zhang, H., Song, B., Liu, W., Li, Y. and Dobaie, AM. (2018) 'Facial expression recognition via learning deep sparse autoencoders'. Neurocomputing, 273. pp. 643 - 649. ISSN: 0925-2312
Liu, W., Wang, Z., Liu, X., Yue, W. and Bell, D. (2017) 'A clustering approach to triage categorization in A&E departments'.2017 23rd International Conference on Automation and Computing (ICAC). IEEE. pp. 1 - 6.
Zeng, N., Zhang, H., Liu, W., Liang, J. and Alsaadi, FE. (2017) 'A switching delayed PSO optimized extreme learning machine for short-term load forecasting'. Neurocomputing, 240. pp. 175 - 182. ISSN: 0925-2312
Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y. and Alsaadi, FE. (2017) 'A survey of deep neural network architectures and their applications'. Neurocomputing, 234. pp. 11 - 26. ISSN: 0925-2312 Open Access Link
Zeng, N., Wang, Z., Zhang, H., Liu, W. and Alsaadi, FE. (2016) 'Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip'. Cognitive Computation, 8 (4). pp. 684 - 692. ISSN: 1866-9956 Open Access Link