| A digital twin-driven approach for the assembly-commissioning of high precision products X Sun, J Bao, J Li, Y Zhang, S Liu, B Zhou Robotics and Computer-Integrated Manufacturing 61, 101839, 2020 | 219 | 2020 |
| A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops B Zhou, J Bao, J Li, Y Lu, T Liu, Q Zhang Robotics and Computer-Integrated Manufacturing 71, 102160, 2021 | 118 | 2021 |
| Semantic-aware event link reasoning over industrial knowledge graph embedding time series data B Zhou, X Shen, Y Lu, X Li, B Hua, T Liu, J Bao International Journal of Production Research 61 (12), 4117-4134, 2023 | 91 | 2023 |
| KGAssembly: Knowledge graph-driven assembly process generation and evaluation for complex components B Zhou, J Bao, Z Chen, Y Liu International Journal of Computer Integrated Manufacturing 35 (10-11), 1151-1171, 2022 | 75 | 2022 |
| A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing M Liu, X Li, J Li, Y Liu, B Zhou, J Bao Advanced Engineering Informatics 51, 101515, 2022 | 75 | 2022 |
| An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents B Zhou, B Hua, X Gu, Y Lu, T Peng, Y Zheng, X Shen, J Bao Advanced Engineering Informatics 50, 101441, 2021 | 57 | 2021 |
| CausalKGPT: Industrial structure causal knowledge-enhanced large language model for cause analysis of quality problems in aerospace product manufacturing B Zhou, X Li, T Liu, K Xu, W Liu, J Bao Advanced Engineering Informatics 59, 102333, 2024 | 37 | 2024 |
| Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph X Shen, X Li, B Zhou, Y Jiang, J Bao Advanced Engineering Informatics 55, 101880, 2023 | 36 | 2023 |
| Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures B Zhou, J Li, X Li, B Hua, J Bao Advanced Engineering Informatics 54, 101799, 2022 | 25 | 2022 |
| BA-IKG: BiLSTM embedded ALBERT for industrial knowledge graph generation and reuse B Zhou, J Bao, Y Liu, D Song 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) 1 …, 2020 | 19 | 2020 |
| Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports X Li, F Zhang, Q Li, B Zhou, J Bao Advanced Engineering Informatics 57, 102084, 2023 | 16 | 2023 |
| Semantic similarity measurement of process table based on graph neural network B HUA, B ZHOU, X GU, J BAO Computer Integrated Manufacturing System 28 (12), 3805-3821, 2022 | 10 | 2022 |
| Dynamic knowledge graph modeling method for ship block manufacturing process S Dengqiang, Z Bin, S Xingwang, BAO Jinsong, Z Yaqin Journal of Shanghai Jiaotong University 55 (5), 544, 2021 | 8 | 2021 |
| Digital twin-based scheduling method for marine equipment material transportation vehicles X Shen, S Liu, B Zhou, Y Zheng, J Bao 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 6 | 2022 |
| A Knowledge Graph-Based Approach for Assembly Sequence Recommendations for Wind Turbines M Liu, B Zhou, J Li, X Li, J Bao Machines 11 (10), 930, 2023 | 5 | 2023 |
| Digital Twin-Driven Reinforcement Learning Method for Marine Equipment Vehicles Scheduling Problem X Shen, S Liu, B Zhou, T Wu, Q Zhang, J Bao IEEE Transactions on Automation Science and Engineering, 2023 | 4 | 2023 |
| 基于图神经网络的工艺表格语义相似性度量 花豹， 周彬， 顾星海， 鲍劲松 计算机集成制造系统, 2022 | 2 | 2022 |
| Hypergraph embedding-based representation method for multi-nary relational knowledge of bridge crane faults Z Fei, Z Bin, BAO Jinsong, LI Xinyu Computer Integrated Manufacturing Systems, 1-25, 2023 | 1* | 2023 |
| 面向船舶分段制造过程的动态知识图谱建模方法 宋邓强， 周彬， 申兴旺， 鲍劲松， 周亚勤 上海交通大学学报 55 (5), 544, 2021 | 1 | 2021 |
| 面向设备点检故障根因分析的因果知识建模方法 周彬， 花豹， 陆玉前， 李心雨， 李婕， 鲍劲松 计算机集成制造系统 29 (8), 2708-2721, 2023 | | 2023 |
Jinsong BaoDonghua UniversityVerified email at dhu.edu.cn
