Yulan He
Dados Biográficos
| ID | 4981003 |
|---|---|
| NOME | Yulan He |
| PRENOMES | Yulan |
| SOBRENOME | He |
| ASSINATURA | HE Y |
| AFILIAÇÕES | Department of Informatics, King’s College London, UK University of Warwick, UK The Alan Turing Institute, UK. [email protected] |
| ORCID | 0000-0003-3948-5845 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
A Literature Survey on Multimodal and Multilingual Sexism Detection
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
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
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
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Sentiment Analysis in Social Media
Genome-wide SNPs reveal novel patterns of spatial genetic structure in Aedes albopictus (Diptera Culicidae) population in China
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
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
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)