Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing. - Min Xia 001; Teng Li 005; Yunfei Zhang; Clarence W. de Silva (Comput. Networks, 2016)

A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles. - Teng Li 005; Min Xia 001; Jiahong Chen; Shujun Gao; Clarence W. de Silva (SMC, 2017)

Remaining useful life prediction of rotating machinery using hierarchical deep neural network. - Min Xia 001; Teng Li 005; Lizhi Liu; Lin Xu; Shujun Gao; Clarence W. de Silva (SMC, 2017)

Cloud-Assisted Cyber-Physical Systems for the Implementation of Industry 4.0. - Jiafu Wan; Min Xia 001 (Mob. Networks Appl., 2017)

Automated Water Quality Survey and Evaluation Using an IoT Platform with Mobile Sensor Nodes. - Teng Li 005; Min Xia 001; Jiahong Chen; Yuanjie Zhao; Clarence W. de Silva (Sensors, 2017)

An Energy Efficient Adaptive Sampling Algorithm in a Sensor Network for Automated Water Quality Monitoring. - Tongxin Shu; Min Xia 001; Jiahong Chen; Clarence W. de Silva (Sensors, 2017)

Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory. - Jiafu Wan; Baotong Chen; Shiyong Wang; Min Xia 001; Di Li 001; Chengliang Liu 001 (IEEE Trans. Ind. Informatics, 2018)

Ieee Access Special Section Editorial: Key Technologies for Smart Factory of Industry 4.0. - Jiafu Wan; Min Xia 001; Jun Hong 002; Zhibo Pang; Bharat Jayaraman; Fangyang Shen (IEEE Access, 2019)

A Hybrid Computing Solution and Resource Scheduling Strategy for Edge Computing in Smart Manufacturing. - Xiaomin Li; Jiafu Wan; Hong-Ning Dai; Muhammad Imran 001; Min Xia 001; Antonio Celesti (IEEE Trans. Ind. Informatics, 2019)

A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks. - Min Xia 001; Teng Li 005; Tongxin Shu; Jiafu Wan; Clarence W. de Silva; Zhongren Wang 002 (IEEE Trans. Ind. Informatics, 2019)

Data-driven prognosis method using hybrid deep recurrent neural network. - Min Xia 001; Xi Zheng; Muhammad Imran 001; Muhammad Shoaib 005 (Appl. Soft Comput., 2020)

Multi-scale deep intra-class transfer learning for bearing fault diagnosis. - Xu Wang; Changqing Shen; Min Xia 001; Dong Wang 001; Jun Zhu 012; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2020)

Information-Based Hierarchical Planning for a Mobile Sensing Network in Environmental Mapping. - Teng Li 005; Kaitai Tong; Min Xia 001; Bing Li 015; Clarence W. de Silva (IEEE Syst. J., 2020)

Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. - Jiafu Wan; Jun Yang 031; Shiyong Wang; Di Li 001; Peng Li 045; Min Xia 001 (IEEE Trans. Ind. Informatics, 2020)

Stable Autonomous Robotic Wheelchair Navigation in the Environment With Slope Way. - Chaoqun Wang 009; Min Xia 001; Max Q.-H. Meng (IEEE Trans. Veh. Technol., 2020)

A new sorting feature-based temporal convolutional network for remaining useful life prediction of rotating machinery. - Heng Sun; Min Xia 001; Yawei Hu; Siliang Lu; Yongbin Liu; Qunjing Wang (Comput. Electr. Eng., 2021)

CPIN: Comprehensive present-interest network for CTR prediction. - Wenxing Hong; Ziang Xiong; Jinjie You; Xiaolin Wu; Min Xia 001 (Expert Syst. Appl., 2021)

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning. - Min Xia 001; Haidong Shao; Darren Williams; Siliang Lu; Lei Shu 001; Clarence W. de Silva (Reliab. Eng. Syst. Saf., 2021)

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images. - Haidong Shao; Min Xia 001; Guangjie Han; Yu Zhang 001; Jiafu Wan (IEEE Trans. Ind. Informatics, 2021)

A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation. - Min Xia 001; Haidong Shao; Xiandong Ma; Clarence W. de Silva (IEEE Trans. Ind. Informatics, 2021)

Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images. - Haidong Shao; Wei Li 191; Min Xia 001; Yu Zhang 001; Changqing Shen; Darren Williams; Andrew Kennedy; Clarence W. de Silva (IEEE Trans. Instrum. Meas., 2021)

Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis. - Xiaoxian Wang; Siliang Lu; Wen-bing Huang 001; Qunjing Wang; Shiwu Zhang; Min Xia 001 (IEEE Trans. Instrum. Meas., 2021)

An Experimental Case Study for the Course of 'Testing Technology and Data Processing'. - Siliang Lu; Xiaoxian Wang; Bin Ju; Yongbin Liu; Feng Xie; Min Xia 001 (ICCSE (3), 2022)

Data-driven Process Parameter Optimisation for Laser Wire Metal Additive Manufacturing. - Matthew Roberts; Min Xia 001; Andrew Kennedy (ICAC, 2022)

Digital Twin-Driven Machine Condition Monitoring: A Literature Review. - He Liu; Min Xia 001; Darren Williams; Jianzhong Sun; Hongsheng Yan (J. Sensors, 2022)

Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions. - Liang Chen; Qi Li; Changqing Shen; Jun Zhu 012; Dong Wang 001; Min Xia 001 (IEEE Trans. Ind. Informatics, 2022)

Guest Editorial: Special Section on Internet of Things and Artificial Intelligence for Product Life-Cycle Management of Complex Equipment. - Jiafu Wan; Min Xia 001; Andrew Kusiak (IEEE Trans. Ind. Informatics, 2022)

Real-Time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils. - Qingyun Zhu; Xiaoxian Wang; Hui Wang 032; Min Xia 001; Siliang Lu; Bingyou Liu; Guoli Li 001; Wenping Cao (IEEE Trans. Ind. Informatics, 2022)

A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis. - Jingde Li; Changqing Shen; Lin Kong; Dong Wang 001; Min Xia 001; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

A Novel Multiview Sampling-Based Meta Self-Paced Learning Approach for Class-Imbalanced Intelligent Fault Diagnosis. - Pin Lyu; Pai Zheng; Wenbing Yu; Chao Liu 031; Min Xia 001 (IEEE Trans. Instrum. Meas., 2022)

Intelligent Process Monitoring of Laser-Induced Graphene Production With Deep Transfer Learning. - Min Xia 001; Haidong Shao; Zheng Huang; Zhe Zhao; Feilong Jiang; Yaowu Hu (IEEE Trans. Instrum. Meas., 2022)

Enhancing Genetic Algorithm-Based Process Parameter Optimisation Through Grid Search-Optimised Artificial Neural Networks. - Yusuf Furkan Ugurluoglu; Darren Williams; Min Xia 001 (ICAC, 2023)

Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance. - Wenhe Chen; Hanting Zhou; Longsheng Cheng; Jing Liu 046; Min Xia 001 (Eng. Appl. Artif. Intell., 2023)

Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System. - Qingyun Zhu; Jingfeng Lu; Xiaoxian Wang; Hui Wang 032; Siliang Lu; Clarence W. de Silva; Min Xia 001 (IEEE Internet Things J., 2023)

Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples. - Lv Chen; Kang An; Dali Huang; Xiaoxian Wang; Min Xia 001; Siliang Lu (IEEE Trans. Ind. Informatics, 2023)

Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network. - Kang An; Jingfeng Lu; Quanjing Zhu; Xiaoxian Wang; Clarence W. de Silva; Min Xia 001; Siliang Lu (IEEE Trans. Instrum. Meas., 2023)

Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance. - Wenhe Chen; Hanting Zhou; Longsheng Cheng; Min Xia 001 (IEEE Trans. Instrum. Meas., 2023)

Computational Framework for Turbid Water Single-Pixel Imaging by Polynomial Regression and Feature Enhancement. - Mengchao Ma; Lei Gu; Yinran Shen; Qingtian Guan; Chen Wang 098; Huaxia Deng; Xiang Zhong; Min Xia 001; Dongfeng Shi (IEEE Trans. Instrum. Meas., 2023)

Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks. - Hanting Zhou; Wenhe Chen; Longsheng Cheng; Darren Williams; Clarence W. de Silva; Min Xia 001 (IEEE Trans. Instrum. Meas., 2023)

A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions. - Jun Zhu 012; Yuanfan Wang; Min Xia 001; Darren Williams; Clarence W. de Silva (IEEE Trans. Instrum. Meas., 2023)

Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions. - Qi Li; Liang Chen; Lin Kong; Dong Wang 001; Min Xia 001; Changqing Shen (Reliab. Eng. Syst. Saf., 2023)

Variant-Depth Neural Networks for Deblurring Traffic Images in Intelligent Transportation Systems. - Qian Wang; Cai Guo; Hong-Ning Dai; Min Xia 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods. - Xiaohua Song; Jing Liu 046; Min Xia 001 (Sensors, 2023)

Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks. - Hanting Zhou; Wen-He Chen; Longsheng Cheng; Jing Liu 046; Min Xia 001 (IEEE Trans. Ind. Informatics, 2023)

Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. - Hanting Zhou; Wenhe Chen; Changqing Shen; Longsheng Cheng; Min Xia 001 (Int. J. Prod. Res., 2023)

Densely Multiplied Physics Informed Neural Networks. - Feilong Jiang; Xiaonan Hou; Min Xia 001 (CoRR, 2024)

Element-wise Multiplication Based Physics-informed Neural Networks. - Feilong Jiang; Xiaonan Hou; Min Xia 001 (CoRR, 2024)

Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference. - Hanting Zhou; Wenhe Chen; Peirui Qiao; Longsheng Cheng; Min Xia 001 (Knowl. Based Syst., 2024)

Nonlinear Blind Deconvolution Based on Generalized Normalized lp/lq Norm for Early Fault Detection. - Siqi Gong; Shunming Li; Zongzhen Zhang; Min Xia 001 (IEEE Trans. Instrum. Meas., 2024)

KBRDBN: An Interpretable Deep Belief Network for the Fault Diagnosis of the Trolley Mechanism in Ship-to-Shore Cranes. - Xiaoqiang Liao; Xinguo Ming; Min Xia 001 (IEEE Trans. Instrum. Meas., 2024)

Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction. - Jiangnan Xia; Senzhang Wang; Xiang Wang 015; Min Xia 001; Kun Xie 001; Jiannong Cao 001 (Int. J. Mach. Learn. Cybern., 2024)

A Neural-Symbolic Model for Fan Interpretable Fault Diagnosis on Steel Production Lines. - Xiaoqiang Liao; Chengjun Wang; Siqi Qiu; Xianyu Zhang; Zuhua Jiang; Xinguo Ming; Min Xia 001 (IEEE Internet Things J., 2024)

Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network. - Hanting Zhou; Wenhe Chen; Jing Liu 046; Longsheng Cheng; Min Xia 001 (J. Intell. Manuf., 2024)

A Novel State-of-Charge Estimation Method for Lithium-Ion Battery Using GDAformer and Online Correction. - Wenhe Chen; Hanting Zhou; Ting Mao; Longsheng Cheng; Min Xia 001 (IEEE Trans. Ind. Informatics, 2024)

Spatio-temporal attention-based hidden physics-informed neural network for remaining useful life prediction. - Feilong Jiang; Xiaonan Hou; Min Xia 001 (Adv. Eng. Informatics, 2025)

SLDAE: An interpretable stacked Denoising Auto-Encoders for fan fault diagnosis on steelmaking workshops. - Xiaoqiang Liao; Dong Wang 001; Siqi Qiu; Min Xia 001; Xinguo Ming (Adv. Eng. Informatics, 2025)

Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring. - Tongtong Yan; Xueqi Xing; Dong Wang 001; Kwok-Leung Tsui; Min Xia 001 (Inf. Fusion, 2025)

Early prediction of battery life using an interpretable health indicator with evolutionary computing. - Xueqi Xing; Tongtong Yan; Min Xia 001 (Reliab. Eng. Syst. Saf., 2025)

Ultralow Latency ANN-SNN Conversion for Bearing Fault Diagnosis. - Xiangcheng Chen; Jing Li; Aobo Yu; Bolin Cai; Qiujie Wu; Min Xia 001 (IEEE Trans. Instrum. Meas., 2025)

AttCWKAN: A Novel Convolution Weighted Kolmogorov-Arnold Networks With Attention Mechanism for Wind Turbine Gearbox Fault Diagnosis. - Wenhe Chen; Hanting Zhou; Min Xia 001 (IEEE Trans. Instrum. Meas., 2025)

Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks. - Feilong Jiang; Xiaonan Hou; Jianqiao Ye; Min Xia 001 (CoRR, 2025)

DLBN: A deep logic belief network for fault diagnosis of dust removal fans. - Xiaoqiang Liao; Dong Wang 001; Xinguo Ming; Siqi Qiu; Zuhua Jiang; Min Xia 001 (Inf. Fusion, 2026)