Data analytics for energy consumption of digital manufacturing systems using Internet of Things method. - Jian Qin 002; Ying Liu 004; Roger I. Grosvenor (CASE, 2017)

Multi-source data analytics for AM energy consumption prediction. - Jian Qin 002; Ying Liu 004; Roger I. Grosvenor (Adv. Eng. Informatics, 2018)

Energy consumption modelling using deep learning embedded semi-supervised learning. - Chong Chen 010; Ying Liu 004; Maneesh Kumar; Jian Qin 002; Yunxia Ren (Comput. Ind. Eng., 2019)

Feature-level Data Fusion for Energy Consumption Analytics in Additive Manufacturing. - Fu Hu; Ying Liu 004; Jian Qin 002; Xianfang Sun; Paul Witherell (CASE, 2020)

A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing. - Yixin Li; Fu Hu; Jian Qin 002; Michael Ryan; Ray Wang; Ying Liu 004 (ICPR Workshops (4), 2020)

Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN - concept, framework and case studies. - Jian Qin 002; Zhuoqun Li; Rui Wang; Li Li 008; Zhe Yu; Xun He; Ying Liu 004 (CCF Trans. Pervasive Comput. Interact., 2021)

A Machine Learning-Based Approach for Elevator Door System Fault Diagnosis. - Taiwang Liang; Chong Chen 010; Tao Wang 014; Ao Zhang; Jian Qin 002 (CASE, 2022)

Fault diagnosis of industrial robot based on dual-module attention convolutional neural network. - Kaijie Lu; Chong Chen 010; Tao Wang 014; Lianglun Cheng; Jian Qin 002 (Auton. Intell. Syst., 2022)

Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning. - Jian Qin 002; Yipeng Wang 015; Jialuo Ding; Stewart Williams (J. Intell. Manuf., 2022)

Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots. - Yuxin Liu; Chong Chen 010; Tao Wang 014; Lianglun Cheng; Jian Qin 002 (ICAC, 2023)

Fault Diagnosis for Industrial Robots Based on Informer. - JunJie Song; Chong Chen 010; Tao Wang 014; Chuanhua Deng; Lianglun Cheng; Jian Qin 002 (ICAC, 2023)

Task-driven data fusion for additive manufacturing: Framework, approaches, and case studies. - Fu Hu; Ying Liu 004; Yixin Li; Shuai Ma; Jian Qin 002; Jun Song; Xianfang Sun; Qian Tang (J. Ind. Inf. Integr., 2023)

Automated Interlayer Wall Height Compensation for Wire Based Directed Energy Deposition Additive Manufacturing. - Jian Qin 002; Javier Vives; Parthiban Raja; Shakirudeen Lasisi; Chong Wang; Thomas Charrett; Jialuo Ding; Stewart Williams; Jonathan Mark Hallam; Ralph P. Tatam (Sensors, 2023)

Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling. - Yi Yin; Yingtao Tian; Jialuo Ding; Tim Mitchell; Jian Qin 002 (Sensors, 2023)