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更新时间:2025.07.09
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邓丽丽

| 博士 副教授 博士生导师

单位:

职务:

研究方向:

办公地址: 博A412

办公电话:

电子邮箱: denglili@zjut.edu.cn

  • 个人简介


    邓丽丽,博士,浙江工业大学管理学院副教授;

    2012年1月毕业于天津大学管理与经济学部系统工程专业;

    主要研究方向网络动力学研究、信息经济学、物流与供应链管理等领域

    主持国家自然科学基金1项(已结题),国家社科后期资助1项,浙江省自然科学基金和教育部人文社科基金各1项,参与国家级项目多项;

    研究论文发表在C&IE、Information Sciences、AMC、JORS等国内外知名期刊,荣获浙江省科学技术进步三等奖(2021-J-3-002-R04).


  • 教学与课程

    本科生课程

    《数据、模型与决策》,《运筹学》,《金融信息工程》,《网络营销与电子支付》,《管理信息系统》,信管专业导论等。


    留学生课程

    《运筹学(英)》。


    硕士生课程

    《系统工程》、《管理软件应用》,《新信息经济学》。


    教学项目:

    2019年校级创新性实验项目,PX-79192788,基于Python的网络营销的数据可视化与数据分析的实验建设,2019.1-2020.12,已结题,主持.


  • 育人成果


    班主任工作:

    2013.09-2017.07 信管13011302 班主任

    2021.09-2022.07     管科2103班班主任

    2022.07-2023.06      信管2101班班主任


  • 科研项目

    主持科研项目(课题)情况:

    1.    家社科基金后期资助项目,20FJYB020, 网络环境下的社群合作机制研究,2020.10-2022.12

    2.      浙江省自然科学基金一般项目,LY20G010011, 信息能力视角的社群合作研究,2020.01-2022.12

    3.      教育部人文社科青年项目,19YJCZH020,信息能力对消费升级的影响研究:基于社会网络分析的视角,2019.03-2022.12

    4.      国家自然科学基金青年项目,71401158, 网络化环境下的供应链金融协调机制设计研究,2015.01-2017.12

    5.      浙江省属高校基本科研业务费专项资金,GB202002005:基于合同理论和专家知识图谱的数字医疗信息智能甄别研究, 2020.12-2023.12。


    获奖:

    复杂环境下供应链成员企业运营管理优化理论与方法及应用.浙江省科学技术进步三等奖,4/5(2021-J-3-002-R04).

  • 科研成果

    已发表论文(*为通讯作者)

     

     

    [1].    Lili Deng, Rugen Wang, Ying Liao, Ronghua Xu, and Cheng Wang*. The reputation-based reward mechanism promotes the evolution of fairness, Applied Mathematics and Computation, 2025, 486:129042

    [2].   Cheng Wang, Neng Wang, Lili Deng*. Sample less meta-learning fault diagnosis based on ordered time–frequency features [J]. Engineering Applications of Artificial Intelligence, 2025, 154: 110881.

    [3].   Cheng Wang, Qidong Zhang, Lili Deng*.An iterative-cluster domain adaptation fault diagnosis method for incremental multi-target domain adaptation [J]. Measurement Science and Technology, 2025, 36 (3): 036132.

    [4].    Cheng Wang, Bingyou Cheng, Lili Deng*. An adaptive thresholding approach for open set fault diagnosis [J]. Measurement Science and Technology, 2025, 36 (1): 016177. 

    [5].   邓丽丽,王洪思,蔡建湖*,王成.零售商促销努力驱动下供应商入侵决策,系统工程学报,2024,393):444-455.

    [6].   Lili Deng, Hongsi Wang, Rugen Wang, Ronghua Xu, and Cheng Wang*. The adaptive adjustment of node weights based on reputation and memory promotes fairness, Chaos, Solitons & Fractals, 2024, 114591. (SCI, JCR 1)

    [7].    Lili Deng, Jiqun Chi, Cheng Wang*, and Xianjie Yuan. Effects of game willingness on the evolution of fairness in the ultimatum game, Physics Letters A, 2022, 439: 128139.

    [8].   Cheng Wang, Qidong Zhang, Lili Deng. An unsupervised domain adaptation method for detecting blades icing for multiple wind turbines [J]. Engineering Applications of Artificial Intelligence, 2024, 138:109396. (SCI, JCR1)

    [9].    Cheng Wang, Lili Deng, Wenqi Zhou*. “We Missed You! A joint optimization strategy of appointment window and reminder sending,Computers & Industrial Engineering, 2022, 169:108198.

    [10].Lili Deng, Xianjie Yuan, Cheng Wang*, and Xingxing Zhang. Effects of asymmetric role assignation and fitness heterogeneity based on the background payoff on fairness, Physics Letters A, 2021, 406: 127327. (SSCI&SCI, JCR 2)

    [11].Cheng Wang, Runhua Wu, and Lili Deng*. An incentive mechanism for partner selection from a collaborative network with private information, Computers & Industrial Engineering, 2021, 154:107053. (SSCI&SCI, JCR 1)

    [12].Lili Deng, Xingxing Zhang, and Cheng Wang*. Coevolution of spatial ultimatum game and link weight promotes fairness, Applied Mathematics and Computation, 2021, 392:125698. (SCI, JCR1

    [13].Lili Deng, Ying Lin, Cheng Wang*, Ronghua Xu, and Gengui Zhou, Effects of coupling strength and coupling schemes between interdependent lattices on the evolutionary ultimatum game, Physica A: Statistical Mechanics and its Applications, 2020, 540:123173. (SCI) 

    [14].Cheng Wang, RunhuaWu, Lili Deng*, Yong Chen, Yingde Li, Yuehua Wan*, A bibliometric analysis on No-show research: status, hotspots, trends and outlook, Sustainability, 2020, 12(10):3997. DOI:10.3390/su12103997. (SCI&SSCI)

    [15].Cheng Wang, Lili Deng*, and Yi Han, Optimal appointment reminder sending strategy for a single service scenario with customer no-show behavior, Journal of the Operational Research Society, 2018, 69(11):1863-1875. (SCI&SSCI, ABS三星)

    [16].Lili Deng, Wei Zhang, Cheng Wang*, Yi Han, and Jianhu Cai, The dynamics of the discrete Ultimatum Game and the role of the expectation level, Discrete Dynamics in Nature and Society, 20168517345:1-8. (SCI)

    [17].Cheng Wang, Lili Deng*, Gengui Zhou, and Meixian Jiang, A global optimization algorithm for target set selection problems, Information Sciences, 2014, 267:101-118. (SCI&SSCI)

    [18].Lili Deng, Cheng Wang*, Wansheng Tang, Gengui Zhou, and Jianhu Cai, A network growth model based on the evolutionary ultimatum game, Journal of Statistical Mechanics: Theory and Experiment2012, 2012(11):P11013.(SCI)

    [19].Lili Deng, Jianxiong Zhang*, Wansheng Tang, and Wei Zhang, Effects of some topological ingredients on the evolutionary ultimatum game, Communications in Theoretical Physics, 2012, 58(3):349-358. (SCI)

    [20].Cheng Wang* and Lili Deng, Game analysis of investment in a group with stickiness, Journal of Optimization Theory and Applications, 2012, 155(3):1047-1059. (SCI&SSCI, ABS三星)

    [21].Jianxiong Zhang*, Wansheng Tang, Lili Deng and Hongxing Gao, Control of uncertain piecewise discrete-time linear systems via state and output feedback, Transactions of the Institute of Measurement and Control, 2012, 34(5):509-519. (SCI)

    [22].Lili Deng, Wansheng Tang* and Jianxiong Zhang, Coevolution of structure and strategy promoting fairness in the ultimatum game, Chinese Physics Letters, 2011, 28(7):070204. (SCI)

    [23].Lili Deng, Wansheng Tang* and Jianxiong Zhang, The coevolutionary ultimatum game on different network topologies, Physica A: Statistical Mechanics and its Applications, 2011, 390(23-24): 4227-4235. (SCI&SSCI)

    [24].蔡建湖,邓丽丽,黄卫来,韩毅,产出不确定环境下供应链竞争与协调研究综述,系统工程学报,2017,324):115-124.









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更新时间:2025.07.09
总访问量:10

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