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Xingyu Li
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Year
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution
S Huang, B Wang, X Li, P Zheng, D Mourtzis, L Wang
Journal of manufacturing systems 64, 424-428, 2022
2642022
Human digital twin (HDT) driven human-cyber-physical systems: Key technologies and applications
B Wang, H Zhou, G Yang, X Li, H Yang
Chinese Journal of Mechanical Engineering 35 (1), 11, 2022
622022
Intelligent manufacturing systems in COVID-19 pandemic and beyond: framework and impact assessment
X Li, B Wang, C Liu, T Freiheit, BI Epureanu
Chinese Journal of Mechanical Engineering 33, 1-5, 2020
522020
Human Digital Twin in the context of Industry 5.0
B Wang, H Zhou, X Li, G Yang, P Zheng, C Song, Y Yuan, T Wuest, ...
Robotics and Computer-Integrated Manufacturing 85, 102626, 2024
472024
Self-repair of smart manufacturing systems by deep reinforcement learning
BI Epureanu, X Li, A Nassehi, Y Koren
CIRP Annals 69 (1), 421-424, 2020
412020
Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics
X Li, A Ghadami, JM Drake, P Rohani, BI Epureanu
Scientific Reports 11 (1), 15450, 2021
372021
Real-time teaming of multiple reconfigurable manufacturing systems
X Li, AE Bayrak, BI Epureanu, Y Koren
CIRP Annals 67 (1), 437-440, 2018
322018
Early event detection in a deep-learning driven quality prediction model for ultrasonic welding
B Wang, Y Li, Y Luo, X Li, T Freiheit
Journal of Manufacturing Systems 60, 325-336, 2021
292021
An agile production network enabled by reconfigurable manufacturing systems
BI Epureanu, X Li, A Nassehi, Y Koren
CIRP Annals 70 (1), 403-406, 2021
232021
Attention-based deep survival model for time series data
X Li, V Krivtsov, K Arora
Reliability Engineering & System Safety 217, 108033, 2022
222022
Learning and intelligence in human-cyber-physical systems: framework and perspective
B Wang, X Li, T Freiheit, BI Epureanu
2020 Second International Conference on Transdisciplinary AI (TransAI), 142-145, 2020
202020
Review of machine learning technologies and artificial intelligence in modern manufacturing systems
A Nassehi, RY Zhong, X Li, BI Epureanu
Design and operation of production networks for mass personalization in the …, 2022
182022
Degradation-aware decision making in reconfigurable manufacturing systems
X Li, A Nassehi, BI Epureanu
CIRP Annals 68 (1), 431-434, 2019
162019
A network-of-networks adaptation for cross-industry manufacturing repurposing
A Dolgui, O Gusikhin, D Ivanov, X Li, K Stecke
IISE Transactions 56 (6), 666-682, 2024
152024
Stochastic model predictive control for remanufacturing system management
X Li, N Li, I Kolmanovsky, BI Epureanu
Journal of Manufacturing Systems 59, 355-366, 2021
152021
AI-based competition of autonomous vehicle fleets with application to fleet modularity
X Li, BI Epureanu
European journal of operational research 287 (3), 856-874, 2020
152020
An agent-based approach to optimizing modular vehicle fleet operation
X Li, BI Epureanu
International Journal of Production Economics 228, 107733, 2020
152020
A system-of-systems approach to the strategic feasibility of modular vehicle fleets
AE Bayrak, MM Egilmez, H Kuang, X Li, JM Park, E Umpfenbach, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (7), 2716-2728, 2018
152018
An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration
H Zhou, G Yang, B Wang, X Li, R Wang, X Huang, H Wu, XV Wang
Journal of Manufacturing Systems 67, 97-110, 2023
142023
Robustness and adaptability analysis of future military modular fleet operation system
X Li, BI Epureanu
Dynamic Systems and Control Conference 58288, V002T05A003, 2017
112017
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Articles 1–20