Chi-Man Pun
Dados Biográficos
| ID | 10054394 |
|---|---|
| NOME | Chi-Man Pun |
| PRENOMES | Chi-Man |
| SOBRENOME | Pun |
| ASSINATURA | PUN C |
| AFILIAÇÕES | University of Macau |
| ORCID | 0000-0003-1788-3746 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Interpretation Before Integration
GDN-CMCF
Multimodal named entity recognition (MNER) is a crucial task in social systems of artificial intelligence that requires precise identification of named entities in sentences using both visual and textual information. Previous methods have focused on capturing fine-grained visual features and developing complex fusion procedures. However, these approaches overlook the heterogeneity gap and loss of original modality uniqueness that may occur during…
Enabling Parity Authenticator-Based Public Auditing With Protection of a Valid User Revocation in Cloud
The significance of the cloud enables the data owners (DOs) to store data remotely in cloud server (CS). The external and internal attacks on the stored data at CS can deliberately remove data. Furthermore, the CS removes the stored data to make empty location for the user's upcoming new data. However, it is a legal expectation of DOs to know whether their data are correctly stored or altered in CS. In this article, we propose a novel privacy-awa…
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GDN-CMCF
Multimodal named entity recognition (MNER) is a crucial task in social systems of artificial intelligence that requires precise identification of named entities in sentences using both visual and textual information. Previous methods have focused on capturing fine-grained visual features and developing complex fusion procedures. However, these approaches overlook the heterogeneity gap and loss of original modality uniqueness that may occur during…
Enabling Parity Authenticator-Based Public Auditing With Protection of a Valid User Revocation in Cloud
The significance of the cloud enables the data owners (DOs) to store data remotely in cloud server (CS). The external and internal attacks on the stored data at CS can deliberately remove data. Furthermore, the CS removes the stored data to make empty location for the user's upcoming new data. However, it is a legal expectation of DOs to know whether their data are correctly stored or altered in CS. In this article, we propose a novel privacy-awa…
Interpretation Before Integration
Computer Science (2 obras) · Topic Modeling (2 obras) · Artificial Intelligence (1 obras) · Bayesian Modeling and Causal Inference (1 obras) · Cloud computing (1 obras) · Cloud Data Security Solutions (1 obras) · Complete information (1 obras) · Computer network (1 obras) · Computer security (1 obras) · Cryptography and Data Security (1 obras)