Weibo Liu
Weibo Liu
Department of Computer Science, Brunel University London
Verified email at
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A survey of deep neural network architectures and their applications
W Liu, Z Wang, X Liu, N Zeng, Y Liu, FE Alsaadi
Neurocomputing 234, 11-26, 2017
Facial expression recognition via learning deep sparse autoencoders
N Zeng, H Zhang, B Song, W Liu, Y Li, AM Dobaie
Neurocomputing 273, 643-649, 2018
Deep belief networks for quantitative analysis of a gold immunochromatographic strip
N Zeng, Z Wang, H Zhang, W Liu, FE Alsaadi
Cognitive Computation 8 (4), 684-692, 2016
A switching delayed PSO optimized extreme learning machine for short-term load forecasting
N Zeng, H Zhang, W Liu, J Liang, FE Alsaadi
Neurocomputing 240, 175-182, 2017
A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer’s disease
N Zeng, H Qiu, Z Wang, W Liu, H Zhang, Y Li
Neurocomputing 320, 195-202, 2018
Exponential stability of Markovian jumping Cohen–Grossberg neural networks with mixed mode-dependent time-delays
Y Liu, W Liu, MA Obaid, IA Abbas
Neurocomputing 177, 409-415, 2016
Event-triggered partial-nodes-based state estimation for delayed complex networks with bounded distributed delays
Y Liu, Z Wang, Y Yuan, W Liu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (6), 1088-1098, 2017
A novel particle swarm optimization approach for patient clustering from emergency departments
W Liu, Z Wang, X Liu, N Zeng, D Bell
IEEE Transactions on Evolutionary Computation 23 (4), 632-644, 2018
Deep-Reinforcement-Learning-Based Images Segmentation for Quantitative Analysis of Gold Immunochromatographic Strip
N Zeng, H Li, Z Wang, W Liu, S Liu, FE Alsaadi, X Liu
Neurocomputing, 2020
A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer
W Liu, Z Wang, Y Yuan, N Zeng, K Hone, X Liu
IEEE transactions on cybernetics, 2019
Event-triggered resilient filtering with missing measurements
Q Liu, Z Wang, W Liu, W Li
2016 22nd International Conference on Automation and Computing (ICAC), 162-167, 2016
An N-State Markovian Jumping Particle Swarm Optimization Algorithm
IU Rahman, Z Wang, W Liu, B Ye, M Zakarya, X Liu
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm.
N Zeng, Z Wang, W Liu, H Zhang, K Hone, X Liu
IEEE Transactions on Cybernetics, 2020
A novel randomised particle swarm optimizer
W Liu, Z Wang, N Zeng, Y Yuan, FE Alsaadi, X Liu
International Journal of Machine Learning and Cybernetics, 1-12, 2020
A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments
W Liu, Z Wang, L Hu, X Liu
2019 IEEE 15th International Conference on Control and Automation (ICCA …, 2019
A clustering approach to triage categorization in A&E departments
W Liu, Z Wang, X Liu, W Yue, D Bell
2017 23rd International Conference on Automation and Computing (ICAC), 1-6, 2017
An optimally weighted user-and item-based collaborative filtering approach to predicting baseline data for Friedreich’s Ataxia patients
W Yue, Z Wang, W Liu, B Tian, S Lauria, X Liu
Neurocomputing 419, 287-294, 0
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