Weibo Liu
Orcid: 0000-0002-8169-3261Affiliations:
- Brunel University London, Uxbridge, UK (PhD 2020)
- University of Liverpool, UK (former)
According to our database1,
Weibo Liu authored at least 64 papers
between 2015 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on brunel.ac.uk
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on orcid.org
On csauthors.net:
Bibliography
2026
Tldiag: a federated learning-based DB-mixer for privacy-preserving and fault diagnosis in transmission lines.
Int. J. Mach. Learn. Cybern., May, 2026
A Novel Phase-Aware Neural Network Framework for Fault Detection in Multiphase Processes via Feature Augmentation and Phase Discrimination.
IEEE CAA J. Autom. Sinica, April, 2026
Label-Noise-Resistant Time-Series Classification With Self-Supervised Label Correction.
IEEE Trans. Ind. Informatics, February, 2026
Learning With Noisy Labels for Industrial Time Series Outlier Detection: A Transformer-Embedded Contrastive Learning Framework.
IEEE Trans. Ind. Informatics, February, 2026
KDET-HPFL: A Personalized Federated Learning Framework for Multimodal Pedestrian Detection With Adaptive Feature Selection.
IEEE Internet Things J., 2026
A survey of latent factorization of tensor-based model compression: Algorithms, toolboxes and future directions.
Neurocomputing, 2026
2025
Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., August, 2025
A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces.
IEEE Trans. Ind. Informatics, July, 2025
A Novel Depth-Connected Region-Based Convolutional Neural Network for Small Defect Detection in Additive Manufacturing.
Cogn. Comput., February, 2025
A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys.
Cogn. Comput., February, 2025
Closed-Loop Parameter Optimization for Robotic Machining Using Physics-Informed Machine Learning and Multiobjective Optimization.
IEEE Trans Autom. Sci. Eng., 2025
A novel multi-scale quadratic convolutional network for bearing fault diagnosis: Handling noisy conditions.
Knowl. Based Syst., 2025
Knowl. Based Syst., 2025
DAF-DETR: A dynamic adaptation feature transformer for enhanced object detection in unmanned aerial vehicles.
Knowl. Based Syst., 2025
Neurocomputing, 2025
LW-DETR: a lightweight transformer-based object detection algorithm for efficient railway crossing surveillance.
Complex Intell. Syst., 2025
2024
IEEE Trans. Artif. Intell., December, 2024
A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., April, 2024
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples.
Neurocomputing, March, 2024
A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data.
Knowl. Based Syst., January, 2024
A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data.
Cogn. Comput., January, 2024
Class Imbalance Wafer Defect Pattern Recognition Based on Shared-Database Decentralized Federated Learning Framework.
IEEE Trans. Instrum. Meas., 2024
A novel neural network architecture utilizing parametric-logarithmic-modulus-based activation function: Theory, algorithm, and applications.
Knowl. Based Syst., 2024
Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks.
Neurocomputing, 2024
A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing.
Eng. Appl. Artif. Intell., 2024
A novel local feature fusion architecture for wind turbine pitch fault diagnosis with redundant feature screening.
Complex Intell. Syst., 2024
2023
IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity.
Neurocomputing, December, 2023
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors.
Int. J. Mach. Learn. Cybern., September, 2023
A swarm optimizer with attention-based particle sampling and learning for large scale optimization.
J. Ambient Intell. Humaniz. Comput., July, 2023
An overview of data-driven battery health estimation technology for battery management system.
Neurocomputing, May, 2023
A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples.
IEEE Trans. Instrum. Meas., 2023
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.
Knowl. Based Syst., 2023
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.
IEEE CAA J. Autom. Sinica, 2023
2022
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Cybern., 2022
Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications.
Int. J. Mach. Learn. Cybern., 2022
A particle swarm optimizer with multi-level population sampling and dynamic <i>p</i>-learning mechanisms for large-scale optimization.
Knowl. Based Syst., 2022
Many-objective optimization meets recommendation systems: A food recommendation scenario.
Neurocomputing, 2022
Neurocomputing, 2022
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection.
Neurocomputing, 2022
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization.
Neurocomputing, 2022
An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing.
Complex Intell. Syst., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Cybern., 2021
A PSO-based deep learning approach to classifying patients from emergency departments.
Int. J. Mach. Learn. Cybern., 2021
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip.
Neurocomputing, 2021
An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients.
Neurocomputing, 2021
A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests.
Cogn. Comput., 2021
Melt pool segmentation for additive manufacturing: A generative adversarial network approach.
Comput. Electr. Eng., 2021
2020
Novel particle swarm optimization algorithms with applications to healthcare data analysis.
PhD thesis, 2020
2019
Event-Triggered Partial-Nodes-Based State Estimation for Delayed Complex Networks With Bounded Distributed Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2019
A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments.
IEEE Trans. Evol. Comput., 2019
A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2018
Neurocomputing, 2018
A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease.
Neurocomputing, 2018
2017
A switching delayed PSO optimized extreme learning machine for short-term load forecasting.
Neurocomputing, 2017
Neurocomputing, 2017
Proceedings of the 23rd International Conference on Automation and Computing, 2017
2016
Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time-delays.
Neurocomputing, 2016
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip.
Cogn. Comput., 2016
Proceedings of the 22nd International Conference on Automation and Computing, 2016
2015
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015