Yongkui Liu

Dalian University of Technology — China

Engineering · Physical Sciences

37h-index6.3kcitations189works3.32yr avg
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Research Topics

Digital Transformation in Industry(57), Scheduling and Optimization Algorithms(22), Manufacturing Process and Optimization(20), Evolutionary Game Theory and Cooperation(14), Computer Graphics and Visualization Techniques(13)

Publications189 total

High Risk of Drug–Drug Interactions Caused by Pexidartinib <i>via</i> UDP-Glucuronosyltransferases Inhibition
Chemical Research in Toxicology·2026
Numerical implementation of the four-stage nonlinear mechanical behavior of rock bolts under tensile-shear loading
Tunnelling and Underground Space Technology·2025
Coating defect detection in intelligent manufacturing: Advances, challenges, and future trends
Robotics and Computer-Integrated Manufacturing·2025· 12 cited
A multi-level multi-domain digital twin modeling method for industrial robots
Robotics and Computer-Integrated Manufacturing·2025· 7 cited
A framework for development of digital twin industrial robot production lines based on a mechatronics approach
WORLD SCIENTIFIC eBooks·2025
A phased robotic assembly policy based on a PL-LSTM-SAC algorithm
Journal of Manufacturing Systems·2024· 5 cited
Platform-enterprise collaborative scheduling in cloud manufacturing with deep reinforcement learning
Advances in Complex Systems·2024
Changes revealed by histology, physiology, enteric microbiota, and transcriptome after ovarian ripening of shrimp, Litopenaeus vannamei, through using fresh baits support the innovation of artificial ripening of shrimps
Aquaculture Reports·2024· 1 citedOpen Access
Fusing human action recognition and object detection for human-robot collaborative assembly
Advances in Complex Systems·2024
Multivariate quality prediction of thin-walled parts machining using multi-task parallel deep transfer learning
International Journal of Production Research·2024· 2 cited
Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems
International Journal of Production Research·2024· 9 cited
Hybrid Task Scheduling in Cloud Manufacturing With Sparse-Reward Deep Reinforcement Learning
IEEE Transactions on Automation Science and Engineering·2024· 15 cited
Changes Revealed by Histology, Physiology, Enteric Microbiota, and Transcriptome after Ovarian Ripening of Shrimp, Litopenaeus Vannamei, Through Using Fresh Baits Support the Innovation of Artificial Ripening of Shrimps
SSRN Electronic Journal·2024Open Access
Changes Revealed by Histology, Physiology, Enteric Microbiota, and Transcriptome after Ovarian Ripening of Shrimp, Litopenaeus Vannamei, Through Using Fresh Baits Support the Innovation of Artificial Ripening of Shrimps
SSRN Electronic Journal·2024Open Access
Scheduling of Customized Tasks in Cloud Manufacturing with Deep Reinforcement Learning
Communications in computer and information science·2024· 1 cited
Implementation of Real-Time Robot Monitoring and Scheduling Platform in Cloud Manufacturing Environment
Communications in computer and information science·2024
Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning
Journal of Intelligent Manufacturing·2023· 3 cited
Large-scale hybrid task scheduling in cloud-edge collaborative manufacturing systems with FCRN-assisted random differential evolution
The International Journal of Advanced Manufacturing Technology·2023· 7 cited
Cloud Manufacturing Task Scheduling Under Machinery Breakdown Based on Deep Reinforcement Learning
2023
Enterprises cooperation and government supervision strategies under the impact of COVID-19
Computers & Industrial Engineering·2023· 4 cited
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Frequent Co-authors

Zhang Li(21), Lihui Wang(11), Xun Xu(10), Fei Tao(7), Long Wang(6), Borut Žalik(5), Xubin Zhang(5), Yi Zhai(5), Mengyue Li(5), Xiaojie Chen(4), Xi Vincent Wang(4), Xiaohan Wang(4), Guojun Lv(4), Chun Zhao(3), Yuanjun Laili(3), Longqing Li(3), Xinchang Lu(3), Jiazhen Li(3), Yuzhou Wu(3), Mengyao Li(3)