The existence of positive solution and bounded oscillation for even-order neutral differential equations with unstable type. - Xiaoping Li; Yuehua Liu; Tiejun Zhou (Appl. Math. Comput., 2006)

Existence and global exponential stability of periodic solution for discrete-time BAM neural networks. - Tiejun Zhou; Yirong Liu; Yuehua Liu (Appl. Math. Comput., 2006)

Global exponential periodicity for BAM neural network with periodic coefficients and continuously distributed delays. - Tiejun Zhou; Yuehua Liu; Xiaoping Li; Yirong Liu (Comput. Math. Appl., 2008)

Segmentation of White Blood Cells Image Using Adaptive Location and Iteration. - Yuehua Liu; Feilong Cao; Jianwei Zhao 004; Jianjun Chu (IEEE J. Biomed. Health Informatics, 2017)

Efficient saliency detection using convolutional neural networks with feature selection. - Feilong Cao; Yuehua Liu; Dianhui Wang 001 (Inf. Sci., 2018)

Implementation of Industrial Cyber Physical System: Challenges and Solutions. - Wenjin Yu; Tharam S. Dillon; Fahed Mostafa; Wenny Rahayu; Yuehua Liu (ICPS, 2019)

Effective segmentations in white blood cell images using ϵ -SVR-based detection method. - Feilong Cao; Yuehua Liu; Zhen Huang; Jianjun Chu; Jianwei Zhao 004 (Neural Comput. Appl., 2019)

Missing Value Imputation for Industrial IoT Sensor Data With Large Gaps. - Yuehua Liu; Tharam S. Dillon; Wenjin Yu; Wenny Rahayu; Fahed Mostafa (IEEE Internet Things J., 2020)

Noise Removal in the Presence of Significant Anomalies for Industrial IoT Sensor Data in Manufacturing. - Yuehua Liu; Tharam S. Dillon; Wenjin Yu; Wenny Rahayu; Fahed Mostafa (IEEE Internet Things J., 2020)

A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance. - Wenjin Yu; Tharam S. Dillon; Fahed Mostafa; Wenny Rahayu; Yuehua Liu (IEEE Trans. Ind. Informatics, 2020)

Spectral Transform Forms Scalable Transformer. - Bingxin Zhou; Xinliang Liu; Yuehua Liu; Yunying Huang; Pietro Liò; Yuguang Wang 001 (CoRR, 2021)

Participant Recruitment Method Aiming at Service Quality in Mobile Crowd Sensing. - Weijin Jiang; Junpeng Chen; Xiaoliang Liu; Yuehua Liu; Sijian Lv (Wirel. Commun. Mob. Comput., 2021)

Well-Conditioned Spectral Transforms for Dynamic Graph Representation. - Bingxin Zhou; Xinliang Liu; Yuehua Liu; Yunying Huang; Pietro Liò; Yuguang Wang 001 (LoG, 2022)

Teat detection of dairy cows based on deep learning neural network FS-YOLOv4 model. - Zhenwei Yu 005; Yuehua Liu; Sufang Yu; Zhanhua Song; Yinfa Yan; Fade Li; Zhonghua Wang; Fuyang Tian (Comput. Electron. Agric., 2022)

An Integrated Framework for Health State Monitoring in a Smart Factory Employing IoT and Big Data Techniques. - Wenjin Yu; Yuehua Liu; Tharam S. Dillon; Wenny Rahayu; Fahed Mostafa (IEEE Internet Things J., 2022)

Automatic Detection Method of Dairy Cow Feeding Behaviour Based on YOLO Improved Model and Edge Computing. - Zhenwei Yu 005; Yuehua Liu; Sufang Yu; Ruixue Wang; Zhanhua Song; Yinfa Yan; Fade Li; Zhonghua Wang; Fuyang Tian (Sensors, 2022)

Empowering IoT Predictive Maintenance Solutions With AI: A Distributed System for Manufacturing Plant-Wide Monitoring. - Yuehua Liu; Wenjin Yu; Tharam S. Dillon; Wenny Rahayu; Ming Li 065 (IEEE Trans. Ind. Informatics, 2022)

Edge Computing-Assisted IoT Framework With an Autoencoder for Fault Detection in Manufacturing Predictive Maintenance. - Wenjin Yu; Yuehua Liu; Tharam S. Dillon; Wenny Rahayu (IEEE Trans. Ind. Informatics, 2023)

An Evaluative Study on IoT Ecosystem for Smart Predictive Maintenance (IoT-SPM) in Manufacturing: Multiview Requirements and Data Quality. - Yuehua Liu; Wenjin Yu; Wenny Rahayu; Tharam S. Dillon (IEEE Internet Things J., 2023)

Key-point based automated diagnosis for alveolar dehiscence in mandibular incisors using convolutional neural network. - Tianyu Liu; Yingzhi Ye; Chengcheng Liu; Jing Chen; Yuehua Liu; Wenyu Xing; Dean Ta (Biomed. Signal Process. Control., 2023)

Regulatory responses and approval status of artificial intelligence medical devices with a focus on China. - Yuehua Liu; Wenjin Yu; Tharam S. Dillon (npj Digit. Medicine, 2024)

Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization. - Mengzhu Wang; Yuehua Liu; Jianlong Yuan; Shanshan Wang 008; Zhibin Wang 004; Wei Wang 335 (IEEE Trans. Image Process., 2024)

Hybrid Architectures Ensemble Learning for pseudo-label refinement in semi-supervised segmentation. - Rui Yang; Yunfei Bai; Chang Liu 082; Yuehua Liu; Xiaomao Li; Shaorong Xie (Inf. Fusion, 2025)

HEPI: High-reward experience-assisted policy iteration in deep reinforcement learning. - Liming Xin; Shijie Chu; Yuehua Liu; Bin Sheng 002 (Knowl. Based Syst., 2025)