李向华副教授-光电与智能研究院(iOPEN)—

副教授

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李向华副教授

个人简介

李向华：副教授，博士生导师

研究方向：多模态认知计算、群体智能决策

联系地址：陕西省西安市碑林区友谊西路127号西北工业大学64信箱

邮政编码：710072

电子邮箱：li_xianghua@nwpu.edu.cn

代表工作

C. Gao, Y. Fan, S. H. Jiang, Y. Deng, J. M. Liu*, and X. H. Li*, “Dynamic Robustness Analysis of a Two-Layer Rail Transit Network Model,” IEEE Transactions on Intelligent Transportation Systems (IF: 6.319, JCR 1, CCF-B), vol. 23, no. 7, pp. 6509-6524, 2022. [BibTeX] | [PDF] | [Code]

@ARTICLE{gao2021dynamic,
          author={C. {Gao} and Y. {Fan} and S. H. {Jiang} and Y. {Deng} and J. M. {Liu} and X. H. {Li}},
          journal={IEEE Transactions on Intelligent Transportation Systems}, 
          title={Dynamic Robustness Analysis of a Two-Layer Rail Transit Network Model}, 
          year={2021},
          volume={23},
          number={7},
          pages={6509-6524},}

Z. Wang, C. Y. Wang, X. H. Li*, C. Gao, X. L. Li*, and J. Y. Zhu, “Evolutionary markov dynamics for network community detection,” IEEE Transactions on Knowledge and Data Engineering (IF: 9.235, JCR 2, CCF-A), vol. 34, no. 3, pp. 1206-1220, 2020. [BibTeX] | [PDF]

@ARTICLE{gao2021dynamic,
          author={Z. {Wang} and C. Y. {Wang} and X. H. {Li} and C. {Gao} and X. L. {Li} and J. Y. {Zhu}},
          journal={IEEE Transactions on Knowledge and Data Engineering}, 
          title={Evolutionary markov dynamics for network community detection}, 
          year={2020},
          volume={34},
          number={3},
          pages={1206-1220},}

X. H. Li, X. Y. Zhen, X. Qi, H.C Han, L. Zhang, and Z. Han, “Dynamic community detection based on graph convolutional networks and contrastive learning,” Chaos, Solitons and Fractals (IF=9.922, JCR 1), vol. 176, p. 114157, 2023. [BibTeX] | [PDF]

@ARTICLE{gao2021dynamic,
          author={X. H. {Li} and X. Y. {Zhen} and X. {Qi} and H.C {Han} and L. {Zhang} and Z. {Han}},
          journal={Chaos, Solitons and Fractals}, 
          title={Dynamic community detection based on graph convolutional networks and contrastive learning}, 
          year={2023},
          volume={176},
          number={},
          pages={114157},}

L. Cheng, X. H. Li*, Z. Han, L. B. Ma, and P. C. Zhu, “Path-based multi-sources localization in multiplex networks,” Chaos, Solitons and Fractals (IF=9.922, JCR 1), vol. 159, p. 112139, 2022. [BibTeX] | [PDF]

@ARTICLE{gao2021dynamic,
          author={L. {Cheng} and X. H. {Li} and Z. {Han} and L. B. {Ma} and P. C. {Zhu}},
          journal={Chaos, Solitons and Fractals}, 
          title={Path-based multi-sources localization in multiplex networks,}, 
          year={2022},
          volume={159},
          number={},
          pages={112139},}

J. Y. Zhu, X. H. Li*, C. Gao, Z. Wang*, and J. Kurths, “Unsupervised community detection in attributed networks based on mutual information maximization,” New Journal of Physics (IF=3.729, JCR 2), vol. 23, p. 113016, 2021. [BibTeX] | [PDF] | [Code]

@ARTICLE{li2018hybrid,
          author={J. Y. {Zhu} and X. H. {Li} and C. {Gao} and Z. {Wang} and J. {Kurths}},
          journal={New Journal of Physics}, 
          title={Unsupervised community detection in attributed networks based on mutual information maximization}, 
          year={2021},
          volume={23},
          number={},
          pages={113016},}

X. H. Li, X. Qi, X. J. Liu, C. Gao, Z. Wang, F. Zhang, and J. M. Liu, “A discrete moth-flame optimization with an L2-norm constraint for network clustering," IEEE Transactions on Network Science and Engineering (IF: 5.033, JCR 2), vol. 9, no. 3, pp. 1776-1788, 2022. [BibTeX] | [PDF]

@ARTICLE{gao2021dynamic,
          author={X. H. {Li} and X. {Qi} and X. J. {Liu} and C. {Gao} and Z. {Wang} and F. {Zhang} and J. M. {Liu}},
          journal={IEEE Transactions on Network Science and Engineering}, 
          title={A discrete moth-flame optimization with an L2-norm constraint for network clustering}, 
          year={2022},
          volume={9},
          number={3},
          pages={1776-1788},}

X. H. Li, X. Y. Wu, Z. Luo, Z. W. Du, Z. Wang, and C. Gao, “Integration of global and local information for text classification,” Neural Computing and Application (IF: 5.102, JCR 2), vol. 35, no. 3, pp. 2471-2486, 2023. [BibTeX] | [PDF]

@ARTICLE{gao2021dynamic,
          author={X. H. {Li} and X. Y. {Wu} and Z. {Luo} and Z. W. {Du} and Z. {Wang} and C. {Gao}},
          journal={Neural Computing and Application}, 
          title={Integration of global and local information for text classification}, 
          year={2023},
          volume={35},
          number={3},
          pages={2471-2486},}

X. H. Li, Y. Deng, X. S. Yuan, Z. Wang, and C. Gao, “Data-driven behavioral analysis and applications: A case study in Changchun, China,” Physica A (IF: 3.778, JCR 2), vol. 596, p. 127164, 2022. [BibTeX] | [PDF]

@ARTICLE{li2018hybrid,
          author={J. Y. {Zhu} and X. H. {Li} and C. {Gao} and Z. {Wang} and J. {Kurths}},
          journal={New Journal of Physics}, 
          title={Unsupervised community detection in attributed networks based on mutual information maximization}, 
          year={2021},
          volume={23},
          number={},
          pages={113016},}

X. H. Li, Z. Wang, C. Gao, and L. Shi, “Reasoning human emotional responses from large-scale social and public media,” Applied Mathematics and Computation (IF=2.300, JCR 2, ESI), vol. 310, pp. 182-193, 2017. [BibTeX] | [PDF]

@ARTICLE{li2017reasoning,
          author={X. H. {Li} and Z. {Wang} and C. {Gao} and L. {Shi}},
          journal={Applied Mathematics and Computation}, 
          title={Reasoning human emotional responses from large-scale social and public media}, 
          year={2017},
          volume={310},
          number={},
          pages={182--193},}

科研项目

国家自然科学基金面上项目(No. 62271411)，多模态虚假信息检测与溯源关键理论与技术研究，2023.1-2026.12, 主持
陕西省自然科学基础研究计划项目(No. 2022JM-325), 基于时序网络的新型图表示学习方法及应用, 2022.1-2023.12, 主持
国家自然科学基金重点项目(No.11931015), 数据驱动的行为决策理论、实验及应用研究, 2020.1-2023.12, 参与

其他信息

每年均招收博士生、硕士生、本科生从事人工智能优化算法、大数据分析、数据驱动的仿真建模研究。请通过邮件联系具体事宜，并附上个人简历。

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