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MeiruiJiang/README.md

Hi 👋! Here is Meirui Jiang, final year Ph.D. student in the CSE, CUHK.

My research centers around the intersection of machine learning and healthcare, with a particular focus on medical image analysis. I am driven by a strong desire to enhance the applicability of machine learning algorithms, with a focus on their robustness, efficiency, generalizability, reliability, and privacy. In particular, I am passionate about leveraging large distributed datasets to empower real-world applications in the healthcare domain. By exploring this interdisciplinary realm, I aim to contribute to advancing machine learning techniques and their transformative impact on healthcare practices.

I am always open to engaging in discussions and collaborations. Please feel free to reach out to me via email :)

Please learn more about me from my personal website.

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  1. med-air/FedBN med-air/FedBN Public

    [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

    Python 224 36

  2. med-air/FL-COVID med-air/FL-COVID Public

    [npj Digital Medicine'21] Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. (Nature publishing group)

    Python 36 5

  3. med-air/HarmoFL med-air/HarmoFL Public

    [AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

    Python 78 16

  4. med-air/imFedSemi med-air/imFedSemi Public

    [MICCAI'22] Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

    Python 19 5

  5. med-air/IOP-FL med-air/IOP-FL Public

    [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation

    Python 8 2

  6. med-air/Client-DP-FL med-air/Client-DP-FL Public

    [MICCAI2023] Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

    Python 9 1