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Chi-Man Pun

Datos Biográficos

ID10054394
NOMBREChi-Man Pun
NOMBRESChi-Man
APELLIDOPun
FIRMAPUN C
AFILIACIONESUniversity of Macau
ORCID0000-0003-1788-3746
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Interpretation Before Integration

    Open Access•Feng Ling, Haoming Zeng et al.•ARTICLE•IEEE Transactions on Computational…•2026

  • GDN-CMCF

    Open Access•Guoheng Huang, Qin He et al.•ARTICLE•IEEE Transactions on Computational…•2024

    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

    Open Access•Fasee Ullah, Chi-Man Pun•ARTICLE•IEEE Transactions on Computational…•2024

    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…

Sin obras prominentes en esta página.

  • GDN-CMCF

    Open Access•Guoheng Huang, Qin He et al.•ARTICLE•IEEE Transactions on Computational…•2024

    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

    Open Access•Fasee Ullah, Chi-Man Pun•ARTICLE•IEEE Transactions on Computational…•2024

    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

    Open Access•Feng Ling, Haoming Zeng et al.•ARTICLE•IEEE Transactions on Computational…•2026

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)

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