| Cyber Physical System and Big Data enabled energy efficient machining optimisation YC Liang, X Lu, WD Li, S Wang Journal of cleaner Production 187, 46-62, 2018 | 127 | 2018 |
| Big Data enabled Intelligent Immune System for energy efficient manufacturing management S Wang, YC Liang, WD Li, XT Cai Journal of cleaner production 195, 507-520, 2018 | 85 | 2018 |
| Fog computing and convolutional neural network enabled prognosis for machining process optimization YC Liang, WD Li, X Lu, S Wang Journal of Manufacturing Systems 52, 32-42, 2019 | 67 | 2019 |
| Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture YC Liang, WD Li, P Lou, JM Hu Journal of manufacturing systems 62, 950-963, 2022 | 46 | 2022 |
| Data-driven anomaly diagnosis for machining processes YC Liang, S Wang, WD Li, X Lu Engineering 5 (4), 646-652, 2019 | 38 | 2019 |
| Deep ensemble learning with non-equivalent costs of fault severities for rolling bearing diagnostics H Yang, WD Li, KX Hu, YC Liang, YQ Lv Journal of Manufacturing Systems 61, 249-264, 2021 | 24 | 2021 |
| Data driven smart manufacturing technologies and applications W Li, Y Liang, S Wang Springer International Publishing, 2021 | 20 | 2021 |
| Deep transfer learning based diagnosis for machining process lifecycle WD Li, YC Liang Procedia CIRP 90, 642-647, 2020 | 15 | 2020 |
| Sustainable manufacturing and remanufacturing management WD Li, S Wang Coventry: Springer, 13-16, 2018 | 9 | 2018 |
| Field-driven modulating of In-Sn-O synaptic transistors with a precisely controlled weight update W Liu, Y Huang, C Jin, B Zhou, J Yu, Y Liang, Q Sun, J Sun, J Yang Applied Materials Today 23, 101024, 2021 | 7 | 2021 |
| Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation W Li, Y Liang, Y Liu Advanced Engineering Informatics 54, 101817, 2022 | 3 | 2022 |
| Prediction of Strength of Adhesive Bonded Joints Based on Machine Learning Algorithm and Finite Element Analysis YC Liang, YD Liu, WD Li Data Driven Smart Manufacturing Technologies and Applications, 173-190, 2021 | 2 | 2021 |
| Robotic disassembly of screws for end-of-life product remanufacturing enabled by deep reinforcement learning Y Peng, W Li, Y Liang, DT Pham Journal of Cleaner Production 439, 140863, 2024 | 1 | 2024 |
| Adaptive Diagnostics on Machining Processes Enabled by Transfer Learning YC Liang, WD Li, S Wang, X Lu Data Driven Smart Manufacturing Technologies and Applications, 65-90, 2021 | 1 | 2021 |
| Cyber-physical system and big data-enabled scheduling optimization for sustainable machining YC Liang, X Lu, S Wang, WD Li Sustainable Manufacturing and Remanufacturing Management: Process Planning …, 2019 | 1 | 2019 |
| Learning from demonstration for autonomous generation of robotic trajectory: Status quo and forward-looking overview W Li, Y Wang, Y Liang, DT Pham Advanced Engineering Informatics 62, 102625, 2024 | | 2024 |
| Effect of overlap rate on the microstructure and properties of Cr-rich stainless steel coatings prepared by extreme high-speed laser cladding X Bu, X Xu, H Lu, Y Liang, H Bian, K Luo, J Lu Surface and Coatings Technology, 131025, 2024 | | 2024 |
| A Trajectory Optimisation-Based Incremental Learning Strategy for Learning from Demonstration Y Wang, W Li, Y Liang Applied Sciences 14 (11), 4943, 2024 | | 2024 |
| 1 Smart Manufacturing Trend WD Li, YC Liang, S Wang, W Li | | |
| A Hybrid Machine Learning and FEA Enabled Predictive Model for Strength of Adhesive Bonded Joints W Liang, Y., Liu, Y. and Li Journal of Manufacturing Systems, 0 | | |
WD LiProfessor of Manufacturing, Coventry University在 coventry.ac.uk 的电子邮件经过验证
WD LiProfessor of Manufacturing, Coventry University在 coventry.ac.uk 的电子邮件经过验证