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, vol. 23, no. 7, pp. 6509-6524, 2022. [BibTeX] | [PDF] | [Code]
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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, vol. 34, no. 3, pp. 1206-1220, 2020. [BibTeX] | [PDF]
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Z. Wang, C. Y. Wang, C. Gao, X. L. Li*, and X. H. Li*, “An evolutionary autoencoder for dynamic community detection,” Science China: Information Sciences, vol. 63, no. 11, pp. 1-16, 2020. [BibTeX] | [PDF]
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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},
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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, vol. 159, p. 112139, 2022. [BibTeX] | [PDF]
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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, vol. 23, p. 113016, 2021. [BibTeX] | [PDF] | [Code]
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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, vol. 9, no. 3, pp. 1776-1788, 2022. [BibTeX] | [PDF]
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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, doi: 10.1007/s00521-022-07727-y, 2022. [BibTeX] | [PDF]
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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},
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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 , vol. 596, p. 127164, 2022. [BibTeX] | [PDF]
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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={},
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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, vol. 310, pp. 182-193, 2017. [BibTeX] | [PDF]
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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={},
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