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  1. No Access

    Article

    Local differentially private federated learning with homomorphic encryption

    Federated learning (FL) is an emerging distributed machine learning paradigm without revealing private local data for privacy-preserving. However, there are still limitations. On one hand, user’ privacy can be...

    Jianzhe Zhao, Chenxi Huang, Wenji Wang, Rulin **e… in The Journal of Supercomputing (2023)

  2. Article

    Open Access

    A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement

    Digital image noise may be introduced during acquisition, transmission, or processing and affects readability and image processing effectiveness. The accuracy of established image processing techniques, such a...

    Chenxi Huang, Dan Hong, Chenhui Yang, Chunting Cai… in Neural Computing and Applications (2023)

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  3. No Access

    Article

    A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction

    Academic performance, a globally understood metric, is utilized worldwide across disparate teaching and learning environments and is regarded as a quantifiable indicator of learning gain. The ability to reliab...

    Chenxi Huang, Junsheng Zhou, **ling Chen, Jane Yang… in Neural Computing and Applications (2023)

  4. No Access

    Chapter and Conference Paper

    Decoupled Consistency for Semi-supervised Medical Image Segmentation

    By fully utilizing unlabeled data, the semi-supervised learning (SSL) technique has recently produced promising results in the segmentation of medical images. Pseudo labeling and consistency regularization are...

    Faquan Chen, **g**g Fei, Yaqi Chen… in Medical Image Computing and Computer Assis… (2023)

  5. No Access

    Article

    Denoising of brain magnetic resonance images using a MDB network

    The denoising of brain magnetic resonance images could be important for the medical image analysis. Many algorithms have been proposed for this task, especially the deep learning ones which show great success ...

    Guokai Zhang, Chenxi Huang, **gwen Jiang, Weizhe Xu… in Multimedia Tools and Applications (2022)

  6. No Access

    Chapter and Conference Paper

    Research on Diabetic Retinal Fundus Screening Model Based on Conditional Generative Adversarial Nets

    Retinal fundus screening is of great significance to the diagnosis of diabetes. However, the existing methods have various problems in retinal blood vessel segmentation and exudate detection, such as insuffici...

    Chenxi Huang, ** Qi, Song Xu, Lei Wang in Advances in Artificial Intelligence and Security (2022)

  7. No Access

    Article

    A dynamic priority strategy for IoV data scheduling towards key data

    With the rapid development of Internet of Vehicles (IoV) technology, IoV applications have been developed from their infant stage to intermediate stage, i.e. from primarily providing entertainment and navigati...

    Chenxi Huang, Hao Wang, Dong Guo, Guokai Zhang, Gaowei Xu… in The Journal of Supercomputing (2021)

  8. No Access

    Chapter and Conference Paper

    Community Detection Model Based on Graph Representation and Self-supervised Learning

    Community detection is an important issue of social network analysis, which is used to find the potential connections between individuals. At present, the mainstream community detection methods consider using ...

    Feng Qiao, Chenxi Huang, Song Xu, ** Qi in Artificial Intelligence and Security (2021)