Sun Tracker: Design, Build and Test. - Weibo Liu 001 (VTC Spring, 2015)

Event-triggered resilient filtering with missing measurements. - Qinyuan Liu; Zidong Wang 001; Weibo Liu 001; Wenshuo Li (ICAC, 2016)

Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip. - Nianyin Zeng; Zidong Wang 001; Hong Zhang; Weibo Liu 001; Fuad E. Alsaadi (Cogn. Comput., 2016)

Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time-delays. - Yurong Liu; Weibo Liu 001; Mustafa Ali Obaid; Ibrahim Atiatallah Abbas (Neurocomputing, 2016)

A clustering approach to triage categorization in A&E departments. - Weibo Liu 001; Zidong Wang 001; Xiaohui Liu 001; Wenbin Yue; David Bell (ICAC, 2017)

A survey of deep neural network architectures and their applications. - Weibo Liu 001; Zidong Wang 001; Xiaohui Liu 001; Nianyin Zeng; Yurong Liu; Fuad E. Alsaadi (Neurocomputing, 2017)

A switching delayed PSO optimized extreme learning machine for short-term load forecasting. - Nianyin Zeng; Hong Zhang; Weibo Liu 001; Jinling Liang; Fuad E. Alsaadi (Neurocomputing, 2017)

A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease. - Nianyin Zeng; Hong Qiu; Zidong Wang 001; Weibo Liu 001; Hong Zhang; Yurong Li (Neurocomputing, 2018)

Facial expression recognition via learning deep sparse autoencoders. - Nianyin Zeng; Hong Zhang; Baoye Song; Weibo Liu 001; Yurong Li; Abdullah M. Dobaie (Neurocomputing, 2018)

A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments. - Weibo Liu 001; Zidong Wang 001; Liang Hu 002; Xiaohui Liu 001 (ICCA, 2019)

A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments. - Weibo Liu 001; Zidong Wang 001; Xiaohui Liu 001; Nianyin Zeng; David Bell (IEEE Trans. Evol. Comput., 2019)

Event-Triggered Partial-Nodes-Based State Estimation for Delayed Complex Networks With Bounded Distributed Delays. - Yurong Liu; Zidong Wang 001; Yuan Yuan 006; Weibo Liu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Novel particle swarm optimization algorithms with applications to healthcare data analysis. - Weibo Liu 001 (2020)

Melt pool segmentation for additive manufacturing: A generative adversarial network approach. - Weibo Liu 001; Zidong Wang 001; Lulu Tian; Stanislao Lauria; Xiaohui Liu 001 (Comput. Electr. Eng., 2021)

A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests. - Lulu Tian; Zidong Wang 001; Weibo Liu 001; Yuhua Cheng 001; Fuad E. Alsaadi; Xiaohui Liu 001 (Cogn. Comput., 2021)

An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients. - Wenbin Yue; Zidong Wang 001; Weibo Liu 001; Bo Tian; Stanislao Lauria; Xiaohui Liu 001 (Neurocomputing, 2021)

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip. - Nianyin Zeng; Han Li 004; Zidong Wang 001; Weibo Liu 001; Songming Liu; Fuad E. Alsaadi; Xiaohui Liu 001 (Neurocomputing, 2021)

A PSO-based deep learning approach to classifying patients from emergency departments. - Weibo Liu 001; Zidong Wang 001; Nianyin Zeng; Fuad E. Alsaadi; Xiaohui Liu 001 (Int. J. Mach. Learn. Cybern., 2021)

A novel randomised particle swarm optimizer. - Weibo Liu 001; Zidong Wang 001; Nianyin Zeng; Yuan Yuan 006; Fuad E. Alsaadi; Xiaohui Liu 001 (Int. J. Mach. Learn. Cybern., 2021)

A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer. - Weibo Liu 001; Zidong Wang 001; Yuan Yuan 006; Nianyin Zeng; Kate Hone; Xiaohui Liu 001 (IEEE Trans. Cybern., 2021)

An N-State Markovian Jumping Particle Swarm Optimization Algorithm. - Izaz Ur Rahman; Zidong Wang 001; Weibo Liu 001; Baoliu Ye; Muhammad Zakarya; Xiaohui Liu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization. - Mengmeng Sheng; Shengyong Chen; Weibo Liu 001; Jiafa Mao; Xiaohui Liu 001 (Neurocomputing, 2022)

EEG fading data classification based on improved manifold learning with adaptive neighborhood selection. - Zitong Wan; Rui Yang 007; Mengjie Huang; Weibo Liu 001; Nianyin Zeng (Neurocomputing, 2022)

Explainable AI techniques with application to NBA gameplay prediction. - Yuanchen Wang; Weibo Liu 001; Xiaohui Liu 001 (Neurocomputing, 2022)

Many-objective optimization meets recommendation systems: A food recommendation scenario. - Jieyu Zhang 002; Miqing Li; Weibo Liu 001; Stanislao Lauria; Xiaohui Liu 001 (Neurocomputing, 2022)

A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization. - Mengmeng Sheng; Zidong Wang 001; Weibo Liu 001; Xi Wang; Shengyong Chen; Xiaohui Liu 001 (Knowl. Based Syst., 2022)

Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications. - Lulu Tian; Zidong Wang 001; Weibo Liu 001; Yuhua Cheng 001; Fuad E. Alsaadi; Xiaohui Liu 001 (Int. J. Mach. Learn. Cybern., 2022)

A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm. - Nianyin Zeng; Zidong Wang 001; Weibo Liu 001; Hong Zhang; Kate Hone; Xiaohui Liu 001 (IEEE Trans. Cybern., 2022)

A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection. - Nianyin Zeng; Peishu Wu; Zidong Wang 001; Han Li 004; Weibo Liu 001; Xiaohui Liu 001 (IEEE Trans. Instrum. Meas., 2022)

Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach. - Guijun Ma; Zidong Wang 005; Weibo Liu 001; Jingzhong Fang; Yong Zhang 020; Han Ding 001; Ye Yuan 002 (IEEE CAA J. Autom. Sinica, 2023)

A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries. - Guijun Ma; Zidong Wang 001; Weibo Liu 001; Jingzhong Fang; Yong Zhang 020; Han Ding 001; Ye Yuan 002 (Knowl. Based Syst., 2023)

A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples. - Chuang Wang 005; Zidong Wang 001; Weibo Liu 001; Yuxuan Shen; Hongli Dong (IEEE Trans. Instrum. Meas., 2023)

An overview of data-driven battery health estimation technology for battery management system. - Minzhi Chen; Guijun Ma; Weibo Liu 001; Nianyin Zeng; Xin Luo 001 (Neurocomputing, 2023)

A swarm optimizer with attention-based particle sampling and learning for large scale optimization. - Mengmeng Sheng; Zidong Wang 001; Weibo Liu 001; Xi Wang; Shengyong Chen; Xiaohui Liu 001 (J. Ambient Intell. Humaniz. Comput., 2023)

A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors. - Jieyu Zhang 002; Zidong Wang 001; Weibo Liu 001; Xiaohui Liu 001; Qiusheng Zheng (Int. J. Mach. Learn. Cybern., 2023)

IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity. - Ziqi Liu; Rui Yang 007; Weibo Liu 001; Xiaohui Liu 001 (Neurocomputing, 2023)

A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing. - Jingzhong Fang; Zidong Wang 001; Weibo Liu 001; Linwei Chen; Xiaohui Liu 001 (Eng. Appl. Artif. Intell., 2024)

Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks. - Chuanbo Wen; Yipeng Xue; Weibo Liu 001; Guochu Chen; Xiaohui Liu 001 (Neurocomputing, 2024)

A novel neural network architecture utilizing parametric-logarithmic-modulus-based activation function: Theory, algorithm, and applications. - Min Zhao; Zidong Wang 001; Jin Wan; Guoping Lu; Weibo Liu 001 (Knowl. Based Syst., 2024)

Class Imbalance Wafer Defect Pattern Recognition Based on Shared-Database Decentralized Federated Learning Framework. - Yong Zhang 020; Rukai Lan; Xianhe Li; Jingzhong Fang; Zuowei Ping; Weibo Liu 001; Zidong Wang 001 (IEEE Trans. Instrum. Meas., 2024)

A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data. - Xianbin Wu; Chuanbo Wen; Zidong Wang 001; Weibo Liu 001; Junjie Yang (Cogn. Comput., 2024)

A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data. - Yipeng Xue; Chuanbo Wen; Zidong Wang 001; Weibo Liu 001; Guochu Chen (Knowl. Based Syst., 2024)

An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples. - Baoye Song; Yiyan Liu; Jingzhong Fang; Weibo Liu 001; Maiying Zhong; Xiaohui Liu 001 (Neurocomputing, 2024)

A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing. - Jingzhong Fang; Zidong Wang 001; Weibo Liu 001; Stanislao Lauria; Nianyin Zeng; Camilo Prieto; Fredrik Sikström; Xiaohui Liu 001 (IEEE Trans Autom. Sci. Eng., 2024)

A Review on Transferability Estimation in Deep Transfer Learning. - Yihao Xue; Rui Yang 007; Xiaohan Chen; Weibo Liu 001; Zidong Wang 001; Xiaohui Liu 001 (IEEE Trans. Artif. Intell., 2024)

YOLO-ELWNet: A lightweight object detection network. - Baoye Song; Jianyu Chen; Weibo Liu 001; Jingzhong Fang; Yani Xue; Xiaohui Liu 001 (Neurocomputing, 2025)

Learning deep feature representations for multi-modal MR brain tumor segmentation. - Tongxue Zhou; Zheng Wang; Xiaohui Liu 001; Weibo Liu 001; Shan Zhu (Neurocomputing, 2025)

DAF-DETR: A dynamic adaptation feature transformer for enhanced object detection in unmanned aerial vehicles. - Baoye Song; Shihao Zhao; Zidong Wang 001; Weibo Liu 001; Xiaohui Liu 001 (Knowl. Based Syst., 2025)

A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys. - Syed Hassan Fatimi; Zidong Wang 001; Isaac T. H. Chang; Weibo Liu 001; Xiaohui Liu 001 (Cogn. Comput., 2025)

A Novel Depth-Connected Region-Based Convolutional Neural Network for Small Defect Detection in Additive Manufacturing. - Yiming Wang 001; Zidong Wang 005; Weibo Liu 001; Nianyin Zeng; Stanislao Lauria; Camilo Prieto; Fredrik Sikström; Hui Yu 001; Xiaohui Liu 001 (Cogn. Comput., 2025)

A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces. - Guijun Ma; Zidong Wang 001; Zeyuan Yang 003; Ruijuan Chen; Weibo Liu 001; Yong Zhang 020; Sijie Yan (IEEE Trans. Ind. Informatics, 2025)