Yuting Cao
Biographic Data
| ID | 8958462 |
|---|---|
| NAME | Yuting Cao |
| GIVEN NAMES | Yuting |
| FAMILY NAME | Cao |
| SIGNATURE | CAO Y |
| AFFILIATIONS | Hamad bin Khalifa University |
| ORCID | 0009-0004-6678-8715 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Connecting Chinese intangible culture to Swahili audiences: Exploring thechallenges and strategies in translation
This article explores the challenges and coping strategies in translating the vocabulary of Chinese intangible cultural heritage (CICH) into Swahili, from the perspective of cultural gaps in translation. Based on previous studies that have classified culture-specific vocabulary into ‘completely absent terms’ and ‘partially absent terms’, this article further divides culture-specific terms into ‘traditional brand name terms’, ‘art terminology’ and…
Diversity Embedding Deep Optimal Graph Regularized Nonnegative Matrix Factorization for Robust Multiview Clustering
Analyzing multimedia data, which often comprises diverse views such as text, images, and videos, presents unique challenges for data processing. Deep matrix factorization (DMF) provides an elegant way to obtain reduced-dimensional representation of the multiview data produced by multimedia. Compared with single-layer matrix factorization, DMF can better discover the hierarchical information in a layerwise technique. However, the existing multivie…
Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks
Social media has a significant influence, which greatly facilitates people to stay up-to-date with information. Unfortunately, a great deal of fake news on social media misleads people and causes a lot of losses. Therefore, fake news detection is necessary to address this issue. Recently, social content category-based methods have become a crucial component of fake news detection. Different from news context-based category, which focuses on word …
Preserving stories, preserving food: Intergenerational and multicultural pedagogies for food waste reduction from Pakistan, China and Canada
Worldviews, cultures, spirituality, and history not only influence how societies define “food” and “waste”, they also shape how we consume food and the relationship we have with the broader food system. While food waste has emerged as a global concern and a complex “wicked problem” that impacts stakeholders at all scales of operations, the issue is often framed as an environmental and economic problem, and less so as a social problem. As the food…
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Preserving stories, preserving food: Intergenerational and multicultural pedagogies for food waste reduction from Pakistan, China and Canada
Worldviews, cultures, spirituality, and history not only influence how societies define “food” and “waste”, they also shape how we consume food and the relationship we have with the broader food system. While food waste has emerged as a global concern and a complex “wicked problem” that impacts stakeholders at all scales of operations, the issue is often framed as an environmental and economic problem, and less so as a social problem. As the food…
Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks
Social media has a significant influence, which greatly facilitates people to stay up-to-date with information. Unfortunately, a great deal of fake news on social media misleads people and causes a lot of losses. Therefore, fake news detection is necessary to address this issue. Recently, social content category-based methods have become a crucial component of fake news detection. Different from news context-based category, which focuses on word …
Diversity Embedding Deep Optimal Graph Regularized Nonnegative Matrix Factorization for Robust Multiview Clustering
Analyzing multimedia data, which often comprises diverse views such as text, images, and videos, presents unique challenges for data processing. Deep matrix factorization (DMF) provides an elegant way to obtain reduced-dimensional representation of the multiview data produced by multimedia. Compared with single-layer matrix factorization, DMF can better discover the hierarchical information in a layerwise technique. However, the existing multivie…
Connecting Chinese intangible culture to Swahili audiences: Exploring thechallenges and strategies in translation
This article explores the challenges and coping strategies in translating the vocabulary of Chinese intangible cultural heritage (CICH) into Swahili, from the perspective of cultural gaps in translation. Based on previous studies that have classified culture-specific vocabulary into ‘completely absent terms’ and ‘partially absent terms’, this article further divides culture-specific terms into ‘traditional brand name terms’, ‘art terminology’ and…
Artificial Intelligence (2 works) · Computer Science (2 works) · Embedding (2 works) · Mathematics (2 works) · Matrix decomposition (2 works) · Theoretical Computer Science (2 works) · African history and culture studies (1 works) · Agriculture (1 works) · Algorithm (1 works) · Business (1 works)