Cross-feature Aggregation

Cross-Feature Aggregation is a feature engineering method that integrates information across distinct feature dimensions or modalities to enhance representational capacity by capturing higher-order interactions beyond univariate or intra-feature transformations.

14

Publications

2K

Citations

62

Authors

38

Institutions

Publications per year

2017–2026

14

Authors

62

  1. QH
    Qingming Huang

    University of Chinese Academy of Sciences, China

    2 publications · 1.2K citations

    2

    h-index

  2. JW
    Jun Wei

    Institute of Computing Technology, China

    2 publications · 1.2K citations

    2

    h-index

  3. SW
    Shuhui Wang

    Chinese Academy of Sciences, China

    2 publications · 1.2K citations

    2

    h-index

  4. YZ
    Yunzuo Zhang

    Shijiazhuang Tiedao University, China

    1 publications · 119 citations

    1

    h-index

  5. TZ
    Tian Zhang

    Shijiazhuang Tiedao University, China

    1 publications · 119 citations

    1

    h-index

1–5 of 62

Venues

  1. Knowledge-Based Systems

    1 publications · 27 citations

    1

    h-index

  2. 1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 113 citations

    1

    h-index

  4. Information Sciences

    1 publications · 25 citations

    1

    h-index

  5. Information Fusion

    1 publications · 36 citations

    1

    h-index

1–5