Concepedia

Cross-feature Interaction Modeling

Cross-Feature Interaction Modeling is a methodological framework in feature aggregation that systematically captures and models the synergistic relationships between distinct feature dimensions to enhance representational expressiveness in predictive learning systems.

19

Publications

2K

Citations

64

Authors

29

Institutions

Publications per year

2017–2026

15

Parents

Publications

19

Deep & Cross Network for Ad Click Predictions

Ruoxi Wang, Bin Fu, Gang Fu et al. · 2017 · 1.1K citations · Full text

, , +15

Understanding Global Feature Contributions With Additive Importance Measures

Ian Covert, Scott Lundberg, Su‐In Lee · arXiv (Cornell University) · 2020 · 169 citations · Full text

, , +14

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions

Weiyu Cheng, Yanyan Shen, Linpeng Huang · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 167 citations · Full text

, , +16

Dual-Cross Central Difference Network for Face Anti-Spoofing

Zitong Yu, Yunxiao Qin, Hengshuang Zhao et al. · 2021 · 128 citations · Full text

, , +15

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Wenhao Wu, Haipeng Luo, Bo Fang et al. · 2023 · 120 citations

, , +13

1–5 of 19

Authors

64

  1. RW
    Ruoxi Wang

    Fiberhome Technology Group (China), China

    3 publications · 1.2K citations

    3

    h-index

  2. XL
    Xiaobai Li

    University of Oulu, Finland

    2 publications · 141 citations

    2

    h-index

  3. WC
    Weiyu Cheng

    Shanghai Jiao Tong University, China

    2 publications · 177 citations

    2

    h-index

  4. GF
    Gang Fu

    Wuhan University, China

    2 publications · 1.2K citations

    2

    h-index

  5. LH
    Linpeng Huang

    Shanghai Jiao Tong University, China

    2 publications · 177 citations

    2

    h-index

1–5 of 64

Institutions

29

  1. Shanghai Jiao Tong University

    Shanghai, China

    3 h-index

    9 publications

    630 citations

  2. Northwestern Polytechnical University

    Xi'an, China

    2 h-index

    2 publications

    141 citations

  3. Stanford University

    Stanford, United States

    2 h-index

    2 publications

    1.2K citations

  4. University of Oxford

    Oxford, United Kingdom

    2 h-index

    2 publications

    141 citations

  5. Google (United States)

    Mountain View, United States

    2 h-index

    6 publications

    3.5K citations

  6. University of Washington

    Seattle, United States

    2 h-index

    4 publications

    424 citations

  7. University of Oulu

    Oulu, Finland

    2 h-index

    6 publications

    423 citations

  8. Lancaster University

    Lancaster, United Kingdom

    1 h-index

    3 publications

    33 citations

1–8 of 29

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 293 citations

    6

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 194 citations

    2

    h-index

  3. Applied Intelligence

    1 publications · 18 citations

    1

    h-index

  4. Visual Neuroscience

    VMS · 1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5