Concepedia

Joint Embedding Learning

Joint Embedding Learning is a computational framework that, within the context of multi-omics integration, belongs to the class of feature-level fusion methods and is distinguished by its capacity to simultaneously map heterogeneous omics data modalities—such as single-cell and spatial multi-omics—into a shared latent representation space where biological relationships are preserved and integrative analysis can be performed.

212

Publications

20.1K

Citations

817

Authors

280

Institutions

Publications per year

2017–2026

180

Parents

Publications

212

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel · arXiv (Cornell University) · 2014 · 1.3K citations · Full text

, , +14

Joint Discriminative and Generative Learning for Person Re-Identification

Zhedong Zheng, Xiaodong Yang, Zhiding Yu et al. · 2019 · 859 citations

, , +13

Learning Deep Representations of Fine-Grained Visual Descriptions

Scott Reed, Zeynep Akata, Honglak Lee et al. · 2016 · 793 citations

, , +14

Representing Text for Joint Embedding of Text and Knowledge Bases

Kristina Toutanova, Danqi Chen, Patrick Pantel et al. · 2015 · 789 citations · Full text

, , +16

Learning a Deep Embedding Model for Zero-Shot Learning

Li Zhang, Tao Xiang, Shaogang Gong · 2017 · 786 citations

, , +15

1–5 of 212

Authors

817

  1. AZ
    Andrew Zisserman

    University of Oxford, United Kingdom

    6 publications · 479 citations

    6

    h-index

  2. BS
    Bernt Schiele

    Max Planck Institute for Informatics, Germany

    5 publications · 1.1K citations

    5

    h-index

  3. AK
    Amit K. Roy–Chowdhury

    University of California, Riverside, United States

    5 publications · 469 citations

    5

    h-index

  4. ZA
    Zeynep Akata

    Max Planck Institute for Informatics, Germany

    5 publications · 1.1K citations

    5

    h-index

  5. TX
    Tao Xiang

    Queen Mary University of London, United Kingdom

    5 publications · 1K citations

    5

    h-index

1–5 of 817

Institutions

280

  1. Chinese Academy of Sciences

    Beijing, China

    10 h-index

    19 publications

    2.8K citations

  2. Tencent (China)

    Shenzhen, China

    8 h-index

    31 publications

    2.3K citations

  3. Sun Yat-sen University

    Guangzhou, China

    8 h-index

    22 publications

    2.2K citations

  4. Xidian University

    Xi'an, China

    6 h-index

    13 publications

    657 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    6 h-index

    13 publications

    1.3K citations

  6. University of Chinese Academy of Sciences

    Beijing, China

    5 h-index

    12 publications

    1.3K citations

  7. Google (United States)

    Mountain View, United States

    5 h-index

    7 publications

    925 citations

  8. University of California, Riverside

    Riverside, United States

    5 h-index

    13 publications

    1.1K citations

1–8 of 280

Venues

  1. arXiv (Cornell University)

    Repository · 30 publications · 2.6K citations

    21

    h-index

  2. IEEE Transactions on Multimedia

    8 publications · 476 citations

    8

    h-index

  3. Neurocomputing

    7 publications · 160 citations

    7

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 820 citations

    7

    h-index

  5. IEEE Transactions on Image Processing

    7 publications · 553 citations

    7

    h-index

1–5