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 | 133 | 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 | 99 | 2018 |
Fog computing and convolutional neural network enabled prognosis for machining process optimization YC Liang, WD Li, X Lu, S Wang Data Driven Smart Manufacturing Technologies and Applications, 13-35, 2021 | 76 | 2021 |
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 | 60 | 2022 |
Data-driven anomaly diagnosis for machining processes YC Liang, S Wang, WD Li, X Lu Engineering 5 (4), 646-652, 2019 | 48 | 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 | 30 | 2021 |
Data driven smart manufacturing technologies and applications W Li, Y Liang, S Wang Springer, 2021 | 22 | 2021 |
Deep transfer learning based diagnosis for machining process lifecycle WD Li, YC Liang Procedia CIRP 90, 642-647, 2020 | 19 | 2020 |
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 | 9 | 2021 |
Sustainable manufacturing and remanufacturing management: process planning, Optimization and Applications W Li, S Wang Springer, 2018 | 9 | 2018 |
Dual skin effect and deep heterostructure of titanium alloy subjected to high-frequency electropulsing-assisted laser shock peening W Deng, H Lu, C Wang, Y Liang, H Zhang, K Luo, J Lu International Journal of Machine Tools and Manufacture 201, 104196, 2024 | 8 | 2024 |
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 | 6 | 2024 |
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 | 6 | 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 487, 131025, 2024 | 5 | 2024 |
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 | 5 | 2022 |
Evolution of microstructure and mechanical properties of Ti65 high-temperature titanium alloy after additive manufacturing and annealing J Sun, H Lu, Y Liang, H Zhang, K Luo, J Lu Materials Science and Engineering: A 913, 147002, 2024 | 4 | 2024 |
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 |
Effects of different heat treatment temperatures on the microstructure and mechanical properties of additive manufacturing Ti65 alloys J Sun, H Lu, Y Liang, K Luo, J Lu Materials Characterization 219, 114592, 2025 | 1 | 2025 |
Extending cutting tool remaining life through deep learning and laser shock peening remanufacturing techniques Y Liang, Y Wang, J Lu Journal of Cleaner Production 477, 143876, 2024 | 1 | 2024 |
Augmentation and classification of motor imagery electroencephalogram signals for human–robot collaborative disassembly Y Wang, W Li, Y Liang, DT Pham The International Journal of Advanced Manufacturing Technology 133 (11 …, 2024 | 1 | 2024 |