Weibo Liu

发表

EEG fading data classification based on improved manifold learning with adaptive neighborhood selection

Zitong Wan, Rui Yang, Mengjie Huang, 2021, Neurocomputing.

A PSO-based deep learning approach to classifying patients from emergency departments

Fuad E. Alsaadi, Nianyin Zeng, Weibo Liu, 2021, International Journal of Machine Learning and Cybernetics.

An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing

Fuad E. Alsaadi, Weibo Liu, Zidong Wang, 2021, Complex & Intelligent Systems.

Many-objective optimization meets recommendation systems: A food recommendation scenario

M. Li, S. Lauria, Jieyu Zhang, 2022, Neurocomputing.

Melt pool segmentation for additive manufacturing: A generative adversarial network approach

Weibo Liu, Stanislao Lauria, Lulu Tian, 2021, Comput. Electr. Eng..

A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries

Ye Yuan, Weibo Liu, Guijun Ma, 2022, Knowl. Based Syst..

A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments

Zidong Wang, David Bell, Xiaohui Liu, 2019, IEEE Transactions on Evolutionary Computation.

A clustering approach to triage categorization in A&E departments

Zidong Wang, David Bell, Xiaohui Liu, 2017, 2017 23rd International Conference on Automation and Computing (ICAC).

A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease

Zidong Wang, Hong Zhang, Yurong Li, 2018, Neurocomputing.

A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm

Zidong Wang, Nianyin Zeng, Kate Hone, 2020, IEEE Transactions on Cybernetics.

A survey of deep neural network architectures and their applications

Yurong Liu, Fuad E. Alsaadi, Xiaohui Liu, 2017, Neurocomputing.

An overview of data-driven battery health estimation technology for battery management system

Xin Luo, Weibo Liu, Nianyin Zeng, 2023, Neurocomputing.

A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer

Yuan Yuan, Nianyin Zeng, Weibo Liu, 2019, IEEE Transactions on Cybernetics.

Facial expression recognition via learning deep sparse autoencoders

Hong Zhang, Yurong Li, Weibo Liu, 2018, Neurocomputing.

A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing

S. Lauria, Weibo Liu, Nianyin Zeng, 2022, IEEE Transactions on Automation Science and Engineering.

A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization

Shengyong Chen, Jiafa Mao, Weibo Liu, 2022, Neurocomputing.

A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples

Hongli Dong, Yuxuan Shen, Zidong Wang, 2023, IEEE Transactions on Instrumentation and Measurement.

Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time-delays

Yurong Liu, Weibo Liu, Mustafa Ali Obaid, 2016, Neurocomputing.

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip

Fuad E. Alsaadi, Xiaohui Liu, Zidong Wang, 2020, Neurocomputing.

A switching delayed PSO optimized extreme learning machine for short-term load forecasting

Fuad E. Alsaadi, Hong Zhang, Jinling Liang, 2017, Neurocomputing.

A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection

Weibo Liu, Nianyin Zeng, P. Wu, 2022, IEEE Transactions on Instrumentation and Measurement.

A swarm optimizer with attention-based particle sampling and learning for large scale optimization

Shengyong Chen, Weibo Liu, Xi Wang, 2022, Journal of Ambient Intelligence and Humanized Computing.

A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization

Zidong Wang, Shengyong Chen, Weibo Liu, 2022, Knowl. Based Syst..

An N-State Markovian Jumping Particle Swarm Optimization Algorithm

Xiaohui Liu, Zidong Wang, Baoliu Ye, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests

Fuad E. Alsaadi, Weibo Liu, Zidong Wang, 2021, Cognitive Computation.

An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients

Xiaohui Liu, Zidong Wang, Wenbin Yue, 2021, Neurocomputing.

Event-Triggered Partial-Nodes-Based State Estimation for Delayed Complex Networks With Bounded Distributed Delays

Yurong Liu, Zidong Wang, Yuan Yuan, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip

Fuad E. Alsaadi, Zidong Wang, Hong Zhang, 2016, Cognitive Computation.

An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing

Yuhua Cheng, Lulu Tian, Weibo Liu, 2021, Complex & Intelligent Systems.

Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications

Fuad E. Alsaadi, Weibo Liu, Zidong Wang, 2021, Int. J. Mach. Learn. Cybern..

Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications

F. Alsaadi, Yuhua Cheng, Lulu Tian, 2021, International Journal of Machine Learning and Cybernetics.

A novel randomised particle swarm optimizer

Fuad E. Alsaadi, Yuan Yuan, Xiaohui Liu, 2020, Int. J. Mach. Learn. Cybern..

A novel randomised particle swarm optimizer

F. Alsaadi, Weibo Liu, Nianyin Zeng, 2020, International Journal of Machine Learning and Cybernetics.

A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments

Zidong Wang, Xiaohui Liu, Liang Hu, 2019, 2019 IEEE 15th International Conference on Control and Automation (ICCA).

Explainable AI techniques with application to NBA gameplay prediction

Weibo Liu, Yuanchen Wang, Xiaohui Liu, 2022, Neurocomputing.

Learning‐based T‐sHDP( λ ) for optimal control of a class of nonlinear discrete‐time systems

Yurong Liu, F. Alsaadi, Weibo Liu, 2021, International Journal of Robust and Nonlinear Control.

Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach

Ye Yuan, Weibo Liu, Yong Zhang, 2023, IEEE/CAA Journal of Automatica Sinica.

Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample Vicinity

Rui Yang, Mengjie Huang, Weibo Liu, 2023, IEEE transactions on neural systems and rehabilitation engineering.

Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks

Weibo Liu, Chuanbo Wen, Yipeng Xue, 2024, Neurocomputing.