昆明理工大学机电工程学院硕士生导师
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姓名：万育微 |
讲师/硕士生导师 |
所在系所： |
智能制造系 |
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通讯地址： |
昆明理工大学机电工程学院433室 |
邮 编： |
650500 |
电子邮箱： |
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教育背景 |
时间 |
毕业学校 |
所学专业 |
学历 |
2020.10-2025.7 |
卡迪夫大学 |
智能制造/人工智能 |
博士 |
工作经历 |
时间 |
工作单位 |
职称、职务 |
2026.1-至今 |
昆明理工大学 |
|
研究领域（方向）（4个以内） |
(1) 面向复杂工业系统的智能制造与智能控制 (2) 工业数据治理与语义建模 (3) 语义驱动的人机交互与可解释推理 (4) 工业大模型与多智能体协作 |
个人总体简介 |
万育微，女，长期从事面向复杂工业系统的智能制造与智能控制研究，聚焦多源异构工业数据治理与语义建模、制造知识图谱构建与补全、面向工业问答的语义本体约束文本-图查询生成与图数据库推理、工业大模型与多智能体协作、知识检索增强生成与决策支持等开展研究。发表SCI/EI论文十余篇。 |
表性论文、专著（10项以内） |
[1] Wan Y, Chen Z, Liu Y, et al. Empowering LLMs by hybrid retrieval-augmented generation for domain-centric Q&A in smart manufacturing [J]. Advanced Engineering Informatics, 2025, 65: 103212.
[2] Wan Y, Liu Y, Chen Z, et al. Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects [J]. Journal of Manufacturing Systems, 2024, 76: 103-32.
[3] Wan Y, Chen Z, Liu Y, et al. Prompting large language models based on semantic schema for text-to-Cypher transformation towards domain Q&A [J]. Decision Support Systems, 2025: 114553.
[4] Wan Y, Zhu B. Abnormal patterns recognition in bivariate autocorrelated process using optimized random forest and multi-feature extraction [J]. ISA Transactions, 2021, 109: 102-12.
[5] Chen Z, Wan Y, Liu Y, et al. A knowledge graph-supported information fusion approach for multi-faceted conceptual modelling [J]. Information Fusion, 2024, 101: 101985.
[6] Wan Y, Chen Z, Fu H, et al. Exploiting Knowledge Graph for Multi-faceted Conceptual Modelling using GCN [J]. Procedia Computer Science, 2022, 200.
[7] Wan Y, Chen Z, Liu Y, et al. Constructing industrial knowledge graph through ontology and link prediction; proceedings of the 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) [C]. 2023
[8] Wan Y, Liu Y, Zammit J P, et al. Facilitating design for additive manufacturing with KG-based retrieval-augmented generation; proceedings of the 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC) [C]. 2025.
[9] Zhou T, Wan Y, Liu Y, et al. Enabling interactive AI in industry 5.0 with RAG-enhanced GenAI chatbots; proceedings of the 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC) [C]. 2025.
