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Visual analysis approach for mutual fund selection

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 62132017), the Zhejiang Provincial Natural Science Foundation of China (No. LD24F020011), the Key R&D “Pioneer” Tackling Plan Program in Zhejiang Province (No. 2023C01119), and the “Ten Thousand Talents Plan” Science and Technology Innovation Leading Talent Program of Zhejiang Province, China (No. 2022R52044).

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Authors and Affiliations

  1. State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou, 310058, China

    Fan Yan, Ketian Mao, Haiyang Zhu, Minfeng Zhu & Wei Chen

  2. College of Computing and Data Science, Nanyang Technological University, Singapore, 639798, Singapore

    Yong Wang

  3. Baiont Quant, Nanjing, 210038, China

    Xuanwu Yue

  4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, 999077, China

    Kam-Kwai Wong, Rong Zhang & Huamin Qu

  5. Wuchan Zhongda Digital Technology Co., Ltd., Hangzhou, 310020, China

    Haiyang Zhu

Authors
  1. Fan Yan
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  2. Yong Wang
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  3. Xuanwu Yue
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  4. Kam-Kwai Wong
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  5. Ketian Mao
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  7. Huamin Qu
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  8. Haiyang Zhu
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  9. Minfeng Zhu
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  10. Wei Chen
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Corresponding author

Correspondence to Minfeng Zhu.

Ethics declarations

Competing interests Wei CHEN is an Editorial Board member of the journal and a co-author of this article. To minimize bias, they were excluded from all editorial decision-making related to the acceptance of this article for publication. The remaining authors declare no conflict of interest.

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Yan, F., Wang, Y., Yue, X. et al. Visual analysis approach for mutual fund selection. Front. Comput. Sci. 19, 195604 (2025). https://doi.org/10.1007/s11704-024-40742-x

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  • DOI: https://doi.org/10.1007/s11704-024-40742-x

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