Weibo Liu - RankMe

63 papers Journal 58Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of latent factorization of tensor-based model compression: Algorithms, toolboxes and future directions. Neurocomputing Yaping He, Hao Wu, Weibo Liu, Xin Luo
2026	J	`jnl`	KDET-HPFL: A Personalized Federated Learning Framework for Multimodal Pedestrian Detection With Adaptive Feature Selection. IEEE Internet Things J. Rukai Lan, Yong Zhang, Zidong Wang, Weibo Liu, Rui Yang
2026	J	`jnl`	Label-Noise-Resistant Time-Series Classification With Self-Supervised Label Correction. IEEE Trans. Ind. Informatics Yimeng He, Zidong Wang, Weibo Liu, Jingzhong Fang, Linwei Chen, Zhihuan Song
2026	J	`jnl`	Learning With Noisy Labels for Industrial Time Series Outlier Detection: A Transformer-Embedded Contrastive Learning Framework. IEEE Trans. Ind. Informatics Jingzhong Fang, Zidong Wang, Weibo Liu, Nianyin Zeng, Yimeng He, Yu Cao, Linwei Chen, Xiaohui Liu
2026	J	`jnl`	Tldiag: a federated learning-based DB-mixer for privacy-preserving and fault diagnosis in transmission lines. Int. J. Mach. Learn. Cybern. Chenlong Mao, Chuanbo Wen, Zidong Wang, Weibo Liu, Junjie Yang
2025	J	`jnl`	A Novel Depth-Connected Region-Based Convolutional Neural Network for Small Defect Detection in Additive Manufacturing. Cogn. Comput. Yiming Wang, Zidong Wang, Weibo Liu, Nianyin Zeng, Stanislao Lauria, Camilo Prieto, Fredrik Sikström, Hui Yu, Xiaohui Liu
2025	J	`jnl`	A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys. Cogn. Comput. Syed Hassan Fatimi, Zidong Wang, Isaac T. H. Chang, Weibo Liu, Xiaohui Liu
2025	J	`jnl`	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 Guijun Ma, Zidong Wang, Zeyuan Yang, Ruijuan Chen, Weibo Liu, Yong Zhang, Sijie Yan
2025	J	`jnl`	A comprehensive survey on domain adaptation for intelligent fault diagnosis. Knowl. Based Syst. Chuang Wang, Zidong Wang, Qingqiang Liu, Hongli Dong, Weibo Liu, Xiaohui Liu
2025	J	`jnl`	A novel multi-scale quadratic convolutional network for bearing fault diagnosis: Handling noisy conditions. Knowl. Based Syst. Chuanbo Wen, Jiehao Zhang, Zidong Wang, Weibo Liu, Junjie Yang
2025	J	`jnl`	Closed-Loop Parameter Optimization for Robotic Machining Using Physics-Informed Machine Learning and Multiobjective Optimization. IEEE Trans Autom. Sci. Eng. Guijun Ma, Zidong Wang, Weibo Liu, Zeyuan Yang, Desheng Huang, Han Ding
2025	J	`jnl`	DAF-DETR: A dynamic adaptation feature transformer for enhanced object detection in unmanned aerial vehicles. Knowl. Based Syst. Baoye Song, Shihao Zhao, Zidong Wang, Weibo Liu, Xiaohui Liu
2025	J	`jnl`	Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Chuang Wang, Zidong Wang, Hongli Dong, Stanislao Lauria, Weibo Liu, Yiming Wang, Futra Fadzil, Xiaohui Liu
2025	J	`jnl`	LW-DETR: a lightweight transformer-based object detection algorithm for efficient railway crossing surveillance. Complex Intell. Syst. Baoye Song, Shihao Zhao, Zidong Wang, Jianyu Chen, Weibo Liu, Xiaohui Liu
2025	J	`jnl`	Learning deep feature representations for multi-modal MR brain tumor segmentation. Neurocomputing Tongxue Zhou, Zheng Wang, Xiaohui Liu, Weibo Liu, Shan Zhu
2025	J	`jnl`	YOLO-ELWNet: A lightweight object detection network. Neurocomputing Baoye Song, Jianyu Chen, Weibo Liu, Jingzhong Fang, Yani Xue, Xiaohui Liu
2024	J	`jnl`	A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing. IEEE Trans Autom. Sci. Eng. Jingzhong Fang, Zidong Wang, Weibo Liu, Stanislao Lauria, Nianyin Zeng, Camilo Prieto, Fredrik Sikström, Xiaohui Liu
2024	J	`jnl`	A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data. Cogn. Comput. Xianbin Wu, Chuanbo Wen, Zidong Wang, Weibo Liu, Junjie Yang
2024	J	`jnl`	A Review on Transferability Estimation in Deep Transfer Learning. IEEE Trans. Artif. Intell. Yihao Xue, Rui Yang, Xiaohan Chen, Weibo Liu, Zidong Wang, Xiaohui Liu
2024	J	`jnl`	A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing. Eng. Appl. Artif. Intell. Jingzhong Fang, Zidong Wang, Weibo Liu, Linwei Chen, Xiaohui Liu
2024	J	`jnl`	A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data. Knowl. Based Syst. Yipeng Xue, Chuanbo Wen, Zidong Wang, Weibo Liu, Guochu Chen
2024	J	`jnl`	A novel local feature fusion architecture for wind turbine pitch fault diagnosis with redundant feature screening. Complex Intell. Syst. Chuanbo Wen, Xianbin Wu, Zidong Wang, Weibo Liu, Junjie Yang
2024	J	`jnl`	A novel neural network architecture utilizing parametric-logarithmic-modulus-based activation function: Theory, algorithm, and applications. Knowl. Based Syst. Min Zhao, Zidong Wang, Jin Wan, Guoping Lu, Weibo Liu
2024	J	`jnl`	An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples. Neurocomputing Baoye Song, Yiyan Liu, Jingzhong Fang, Weibo Liu, Maiying Zhong, Xiaohui Liu
2024	J	`jnl`	Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks. Neurocomputing Chuanbo Wen, Yipeng Xue, Weibo Liu, Guochu Chen, Xiaohui Liu
2024	J	`jnl`	Class Imbalance Wafer Defect Pattern Recognition Based on Shared-Database Decentralized Federated Learning Framework. IEEE Trans. Instrum. Meas. Yong Zhang, Rukai Lan, Xianhe Li, Jingzhong Fang, Zuowei Ping, Weibo Liu, Zidong Wang
2023	J	`jnl`	A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples. IEEE Trans. Instrum. Meas. Chuang Wang, Zidong Wang, Weibo Liu, Yuxuan Shen, Hongli Dong
2023	J	`jnl`	A swarm optimizer with attention-based particle sampling and learning for large scale optimization. J. Ambient Intell. Humaniz. Comput. Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu
2023	J	`jnl`	A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries. Knowl. Based Syst. Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan
2023	J	`jnl`	A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors. Int. J. Mach. Learn. Cybern. Jieyu Zhang, Zidong Wang, Weibo Liu, Xiaohui Liu, Qiusheng Zheng
2023	J	`jnl`	An overview of data-driven battery health estimation technology for battery management system. Neurocomputing Minzhi Chen, Guijun Ma, Weibo Liu, Nianyin Zeng, Xin Luo
2023	J	`jnl`	Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach. IEEE CAA J. Autom. Sinica Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan
2023	J	`jnl`	IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity. Neurocomputing Ziqi Liu, Rui Yang, Weibo Liu, Xiaohui Liu
2022	J	`jnl`	A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm. IEEE Trans. Cybern. Nianyin Zeng, Zidong Wang, Weibo Liu, Hong Zhang, Kate Hone, Xiaohui Liu
2022	J	`jnl`	A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection. IEEE Trans. Instrum. Meas. Nianyin Zeng, Peishu Wu, Zidong Wang, Han Li, Weibo Liu, Xiaohui Liu
2022	J	`jnl`	A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization. Neurocomputing Mengmeng Sheng, Shengyong Chen, Weibo Liu, Jiafa Mao, Xiaohui Liu
2022	J	`jnl`	A particle swarm optimizer with multi-level population sampling and dynamic Knowl. Based Syst. Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu
2022	J	`jnl`	An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing. Complex Intell. Syst. Lulu Tian, Zidong Wang, Weibo Liu, Yuhua Cheng, Fuad E. Alsaadi, Xiaohui Liu
2022	J	`jnl`	EEG fading data classification based on improved manifold learning with adaptive neighborhood selection. Neurocomputing Zitong Wan, Rui Yang, Mengjie Huang, Weibo Liu, Nianyin Zeng
2022	J	`jnl`	Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications. Int. J. Mach. Learn. Cybern. Lulu Tian, Zidong Wang, Weibo Liu, Yuhua Cheng, Fuad E. Alsaadi, Xiaohui Liu
2022	J	`jnl`	Explainable AI techniques with application to NBA gameplay prediction. Neurocomputing Yuanchen Wang, Weibo Liu, Xiaohui Liu
2022	J	`jnl`	Many-objective optimization meets recommendation systems: A food recommendation scenario. Neurocomputing Jieyu Zhang, Miqing Li, Weibo Liu, Stanislao Lauria, Xiaohui Liu
2021	J	`jnl`	A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests. Cogn. Comput. Lulu Tian, Zidong Wang, Weibo Liu, Yuhua Cheng, Fuad E. Alsaadi, Xiaohui Liu
2021	J	`jnl`	A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer. IEEE Trans. Cybern. Weibo Liu, Zidong Wang, Yuan Yuan, Nianyin Zeng, Kate Hone, Xiaohui Liu
2021	J	`jnl`	A PSO-based deep learning approach to classifying patients from emergency departments. Int. J. Mach. Learn. Cybern. Weibo Liu, Zidong Wang, Nianyin Zeng, Fuad E. Alsaadi, Xiaohui Liu
2021	J	`jnl`	A novel randomised particle swarm optimizer. Int. J. Mach. Learn. Cybern. Weibo Liu, Zidong Wang, Nianyin Zeng, Yuan Yuan, Fuad E. Alsaadi, Xiaohui Liu
2021	J	`jnl`	An N-State Markovian Jumping Particle Swarm Optimization Algorithm. IEEE Trans. Syst. Man Cybern. Syst. Izaz Ur Rahman, Zidong Wang, Weibo Liu, Baoliu Ye, Muhammad Zakarya, Xiaohui Liu
2021	J	`jnl`	An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients. Neurocomputing Wenbin Yue, Zidong Wang, Weibo Liu, Bo Tian, Stanislao Lauria, Xiaohui Liu
2021	J	`jnl`	Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip. Neurocomputing Nianyin Zeng, Han Li, Zidong Wang, Weibo Liu, Songming Liu, Fuad E. Alsaadi, Xiaohui Liu
2021	J	`jnl`	Melt pool segmentation for additive manufacturing: A generative adversarial network approach. Comput. Electr. Eng. Weibo Liu, Zidong Wang, Lulu Tian, Stanislao Lauria, Xiaohui Liu
2020	—	`—`	Novel particle swarm optimization algorithms with applications to healthcare data analysis. Weibo Liu
2019	—	`conf`	A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments. ICCA Weibo Liu, Zidong Wang, Liang Hu, Xiaohui Liu
2019	J	`jnl`	A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments. IEEE Trans. Evol. Comput. Weibo Liu, Zidong Wang, Xiaohui Liu, Nianyin Zeng, David Bell
2019	J	`jnl`	Event-Triggered Partial-Nodes-Based State Estimation for Delayed Complex Networks With Bounded Distributed Delays. IEEE Trans. Syst. Man Cybern. Syst. Yurong Liu, Zidong Wang, Yuan Yuan, Weibo Liu
2018	J	`jnl`	A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease. Neurocomputing Nianyin Zeng, Hong Qiu, Zidong Wang, Weibo Liu, Hong Zhang, Yurong Li
2018	J	`jnl`	Facial expression recognition via learning deep sparse autoencoders. Neurocomputing Nianyin Zeng, Hong Zhang, Baoye Song, Weibo Liu, Yurong Li, Abdullah M. Dobaie
2017	—	`conf`	A clustering approach to triage categorization in A&E departments. ICAC Weibo Liu, Zidong Wang, Xiaohui Liu, Wenbin Yue, David Bell
2017	J	`jnl`	A survey of deep neural network architectures and their applications. Neurocomputing Weibo Liu, Zidong Wang, Xiaohui Liu, Nianyin Zeng, Yurong Liu, Fuad E. Alsaadi
2017	J	`jnl`	A switching delayed PSO optimized extreme learning machine for short-term load forecasting. Neurocomputing Nianyin Zeng, Hong Zhang, Weibo Liu, Jinling Liang, Fuad E. Alsaadi
2016	J	`jnl`	Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip. Cogn. Comput. Nianyin Zeng, Zidong Wang, Hong Zhang, Weibo Liu, Fuad E. Alsaadi
2016	—	`conf`	Event-triggered resilient filtering with missing measurements. ICAC Qinyuan Liu, Zidong Wang, Weibo Liu, Wenshuo Li
2016	J	`jnl`	Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time-delays. Neurocomputing Yurong Liu, Weibo Liu, Mustafa Ali Obaid, Ibrahim Atiatallah Abbas
2015	—	`conf`	Sun Tracker: Design, Build and Test. VTC Spring Weibo Liu