李玉鹏，男，1985年4月生，毕业于上海交通大学，获工学博士学位。主要研究方向为深度学习增强的自然语言处理（知识图谱/大语言模型）及其在产品与服务开发过程中的应用、工程决策理论、数据挖掘与模式识别。

教学方面，讲授本科/研究生课程：《决策理论与方法》、《服务管理（双语）》、《工程统计学》、《学术论文写作》。科研方面，主持国家青年自然科学基金、江苏省自然科学基金、中央高校基本科研业务经费、中国矿业大学起航计划、中国矿业大学科研启动项目各1项，企业合作项目20余项。先后在机械工程学报、Journal of Mechanical Design、Research in Engineering Design，Journal of Engineering Design等国内外设计领域TOP期刊，计算机集成制造系统、Information Sciences、Journal of Intelligent Manufacturing、International Journal of Production Research、Advanced Engineerig Informatics、International Journal of Computer Integrated Manufacturing、Expert Systems with Applications等国内外制造信息领域TOP期刊上发表论文70余篇，其中SCI/EI检索50余篇。担任国家自然科学基金面上项目评审专家、计算机集成制造系统期刊理事、JIM、IJCIM、JED、IJPR、AME、JEDT、计算机集成制造系统等20余中/英文期刊审稿人。

指导学生获得江苏省优秀硕士论文1人、江苏省优秀本科毕业论文（设计）一等奖、团队奖各1项，二等奖4项，国家级、省级学科竞赛奖励十余项；指导国家级、省级大学生创新训练项目10余项。指导研究生主持江苏省创新项目6项，指导研究生多人赴各大名校攻读博士学位。欢迎报考管理科学与工程与工业工程与管理研究生。

中国矿业大学优秀青年骨干教师，2022；

中国矿业大学优秀研究生导师团队，2024；

中国矿业大学研究生教学成果二等奖，2024.

国家自然科学基金通讯评审专家；

计算机集成制造系统理事；

AEI、IJPR、JED、RIED、JIMS、JMD、机械工程学报、计算机集成制造系统、IEEE TEM等数十种中英文期刊审稿人。

产品与服务设计理论与方法

深度学习增强的自然语言处理

决策理论与方法：多属性决策、观点动力学

大数据与数据挖掘

系统建模与仿真

国家自然科学基金1项；

江苏省自然科学基金1项；

企业委托项目10余项。

2024年

1. Ren H, Wang Y, Zhang J, Li Y*, Wang W. Research on propagation routing optimisation of product design change considering multi-domain network collaboration[J]. Journal of Engineering Design, 2024, 35: 4, 430-459.
2. Ni Y, Li Y *, Zhang N. Optimizing margins of design parameters to reduce the change risk toward evolving customer requirements [J]. IEEE Transactions on Engineering Management, 2024, 71: 6133-6145.
3. Sha K, Li Y*, Dong Y, Zhang N. Modelling the dynamics of customer requirements considering their lability and sensitivity in product development[J], Advanced Engineering Informatics, 2024, 59: 102296.
4. Cheng Y, Li Y*, Zhang N, Chen L, Cao J.A knowledge graph-enabled multi-domain mapping approach supporting product rapid design: A case study of new energy vehicles[J]. Advanced Engineering Informatics, 2024, 102779.

2023年

1. Li Y*, Sha K, Li H, et al. Improving the elicitation of critical customer requirements through an understanding of their sensitivity [J]. Research in Engineering Design, 2023, 34: 327-346.
2. Li Y, Zhang M*, Zhang N et al. Towards product evolution: from the perspective of user knowledge[J]. International Journal of Production Research, 2023, 61(20): 6829-6846.
3. Li Y*, Dong Y, Wang Y, et al. Product design opportunity identification through mining the critical minority of customer online reviews [J/OL]. Electronic Commerce Research, 2023.
4. Dong Y, Li Y*, Cao J, et al. Identification and evaluation of competitive products based on online user-generated content [J]. Expert Systems with Applications, 2023, 225(1): 120168.
5. Li Y*, Cheng Y, Ni Y, et al. Assessment of product resilience towards the changing customer requirements [J]. Journal of Engineering Design, 2023, 34: 8, 561-590.
6. Zhang N, Gao W, Li Y*, et al. Complex product configuration updating oriented by changing customer requirements [J], Journal of Engineering Design, 2023, 34:7, 522-560.
7. Zhang N, Qin L, Yu P, Gao W, Li Y*. Grey-Markov model of user demands prediction based on online reviews [J]. Journal of Engineering Design, 2023, 34: 7, 487-521.
8. 曹雪静, 王宇, 曹进, 张娜, 李玉鹏*, 侯路遥. 基于离群点检测的关键顾客需求识别[J]. 计算机集成制造系统, 2023, 29(8) 2801-2812.

2022年

1. 王秋月, 李玉鹏, 张娜*, 曹进. 面向需求变更的复杂产品配置更新路径优选[J]. 计算机集成制造系统, 2022, 28(12): 3832-3846.
2. Li T, Zhang N, Ren H, Liu Q, Li Y*. Design change propagation routing in the modular product[J]. Advanced Engineering Informatics, 2022, 54: 101784.
3. Ni Y, Ou Y, Li Y*, Zhang N. Improve the product structural robustness based on network motifs in product development[J]. Scientific Reports, 2022, 12: 10916.
4. Sha K, Li Y*, Zhao Z, Zhang N. Product redesign considering the sensitivity of customer satisfaction[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 36(E31): 1-16.
5. Ren H, Li T, Li Y*, Ni Y, Zhang J. Research on Control Strategy of Design Change Cross-Module Propagation[J]. Symmetry, 2022, 14(2): 368.
6. Liu M, Wang X, Li Y*. Service supplier Selection under fuzzy and stochastic uncertain environments[J]. Journal of Intelligent & Fuzzy Systems, 2022, 42(3): 1301- 1315.
7. Li Y, Zhang M*, Zhang N et al. Towards product evolution: from the perspective of user knowledge[J]. International Journal of Production Research, 2022, ISSN: (Print) (Online)
8. Li Y*, Ni Y, Zhang N, et al. Towards the evolution characteristics of product structural properties based on the time-dependent network[J]. Journal of Engineering Design, 2022, 33(3): 207-233.
9. Wang Y, Cao X, Li Y *. Unsupervised outlier detection for mixed-valued dataset based on the adaptive k-nearest neighbor global network[J]. IEEE Access, 2022, 10: 32093-32103.

2021年

1. Li Y P*, Ni Y B, Zhang N & Liu Z H. Modularization for the complex product considering the design change requirements[J]. Research in Engineering Design, 2021, 32: 507-522.
2. Zhang N*, Li M, Ren H & Li Y P. A network-based four-phase routing approach of multisource design change propagation on complex products[J]. Kybernetes, 2020. doi: 10.1108/K-05-2020-0285.
3. Zhao Z H, Li Y P*, Chu X N. Data-driven approach to identify obsolete functions of products for design improvements[J]. Journal of Intelligent and Fuzzy Systems, 2021, 40(4): 5369-5382.
4. Li Y P*, Zhang M T, Chen D P. Product obsolescence assessment based on the hybrid uncertain Information Axiom[J]. Journal of Engineering Design, 2021, 32(8): 375-396.
5. Ren H B, Li T, Li Y P* & Huan J. Multi -source design change propagation path optimisation based on the multi-view complex network model[J]. Journal of Engineering Design, 2021, 32(1): 28-60.
6. Wang Y, Li Y P*. Outlier detection based on weighted neighbourhood information network for mixed-valued datasets[J]. Information Sciences, 2021, 564: 396-415
7. Li Y*, Liu M, Cao J, Wang X L & Zhang N. Multi-attribute group decision-making considering opinion dynamics[J]. Expert Systems with Applications, 2021,184: 115479.
8. Li Y*, Chen H, Zhao Z H. An integrated identification approach of agile engineering characteristics considering sensitive customer requirements[J]. CIRP Journal of Manufacturing Science and Technology, 2021, 35(10):13-24.
9. 王宇, 李玉鹏*, 赵志华. 基于离群点检测的产品性能退化评估[J]. 计算机集成制造系统, 2021, 27(4): 1040-1051.
10. 李乃梁, 何伊*, 李玉鹏, 张畅, 郭少英. 考虑质量水平的产品更新策略研究[J].中国管理科学, 2021, 29(10): 237-246.
11. 李玉鹏, 谢卫星, 王晓琳*, 任海兵. 考虑变更风险的复杂产品模块划分方法[J]. 机械工程学报, 2021, 57(9): 191-202.

指导毕业学硕和专硕30余人，学硕80%升学至清华大学、上海交通大学、浙江大学、南京大学、东南大学、厦门大学、香港城市大学、中国矿业大学等高校攻读博士学位；专硕就业于政府、高校等事业单位及行业头部的制造与服务企业。