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Yulan He

Datos Biográficos

ID4981003
NOMBREYulan He
NOMBRESYulan
APELLIDOHe
FIRMAHE Y
AFILIACIONESKing's College London
ORCID0000-0003-3948-5845
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
OBRAS COMO AUTOR4
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2014
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • A Literature Survey on Multimodal and Multilingual Sexism Detection

    Open Access•Xuan Luo, Bin Liang et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Sexism has become a pressing issue, driven by the rapid-spreading influence of societal norms, media portrayals, and online platforms that perpetuate and amplify gender biases. Curbing sexism has emerged as a critical challenge globally. Being capable of recognizing sexist statements and behaviors is of particular importance since it is the first step in mind change. This survey provides an extensive overview of recent advancements in sexism dete…

  • Genome-wide SNPs reveal novel patterns of spatial genetic structure in Aedes albopictus (Diptera Culicidae) population in China

    Open Access•Yong Wei, Song He et al.•ARTICLE•Frontiers in Public Health•2022

    Introduction Since the second half of the 20th century, Aedes albopictus , a vector for more than 20 arboviruses, has spread worldwide. Aedes albopictus is the main vector of infectious diseases transmitted by Aedes mosquitoes in China, and it has caused concerns regarding public health. A comprehensive understanding of the spatial genetic structure of this vector species at a genomic level is essential for effective vector control and the preven…

  • Hierarchical Interpretation of Neural Text Classification

    Open Access•Hanqi Yan, Lin Gui et al.•ARTICLE•Computational Linguistics•2022

    Recent years have witnessed increasing interest in developing interpretable models in Natural Language Processing (NLP). Most existing models aim at identifying input features such as words or phrases important for model predictions. Neural models developed in NLP, however, often compose word semantics in a hierarchical manner. As such, interpretation by words or phrases only cannot faithfully explain model decisions in text classification. This …

  • Sentiment Analysis in Social Media

    Open Access•Chenghua Lin, Yulan He•CHAPTER•Encyclopedia of Social Network…•2014

Sin obras prominentes en esta página.

  • Sentiment Analysis in Social Media

    Open Access•Chenghua Lin, Yulan He•CHAPTER•Encyclopedia of Social Network…•2014

  • Genome-wide SNPs reveal novel patterns of spatial genetic structure in Aedes albopictus (Diptera Culicidae) population in China

    Open Access•Yong Wei, Song He et al.•ARTICLE•Frontiers in Public Health•2022

    Introduction Since the second half of the 20th century, Aedes albopictus , a vector for more than 20 arboviruses, has spread worldwide. Aedes albopictus is the main vector of infectious diseases transmitted by Aedes mosquitoes in China, and it has caused concerns regarding public health. A comprehensive understanding of the spatial genetic structure of this vector species at a genomic level is essential for effective vector control and the preven…

  • Hierarchical Interpretation of Neural Text Classification

    Open Access•Hanqi Yan, Lin Gui et al.•ARTICLE•Computational Linguistics•2022

    Recent years have witnessed increasing interest in developing interpretable models in Natural Language Processing (NLP). Most existing models aim at identifying input features such as words or phrases important for model predictions. Neural models developed in NLP, however, often compose word semantics in a hierarchical manner. As such, interpretation by words or phrases only cannot faithfully explain model decisions in text classification. This …

  • A Literature Survey on Multimodal and Multilingual Sexism Detection

    Open Access•Xuan Luo, Bin Liang et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Sexism has become a pressing issue, driven by the rapid-spreading influence of societal norms, media portrayals, and online platforms that perpetuate and amplify gender biases. Curbing sexism has emerged as a critical challenge globally. Being capable of recognizing sexist statements and behaviors is of particular importance since it is the first step in mind change. This survey provides an extensive overview of recent advancements in sexism dete…

Computer Science (3 obras) · Artificial Intelligence (2 obras) · Natural language processing (2 obras) · Advanced Text Analysis Techniques (1 obra) · Adversarial Robustness in Machine Learning (1 obra) · Aedes (1 obra) · Aedes aegypti (1 obra) · Aedes albopictus (1 obra) · Artificial Intelligence (1 obra) · Artificial neural network (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae