基本信息
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职业迁徙
个人简介
Research
My main research interests lie in privacy-preserving machine learning (PPML), Bayesian Learning, Uncertainty estimation and their applications in medical fields, such as medical image analysis, drug discovery and EHR data analysis.
In particular, I'm interested in developing theoretical tools for explainable privacy-preserving machine learning. I also aim to combine different techniques such as differential privacy, federated learning, and Bayesian learning for developing PPML algorithms which have better trade-offs among model accuracy, privacy protection strength, computation efficiency and useability.
On this basis, I apply these methods and tools for rich applications such as pathological image classification, federated GNN, recommender system and privacy-preserving Deep Learning as a Service.
研究兴趣
论文共 75 篇作者统计合作学者相似作者
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CoRR (2024)
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Zhihang Yuan,Yuzhang Shang, Yang Zhou,Zhen Dong, Zhe Zhou,Chenhao Xue,Bingzhe Wu,Zhikai Li,Qingyi Gu, Yong Jae Lee,Yan Yan,Beidi Chen,
CoRR (2024)
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PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023 (2023): 1389-1399
AAAIpp.8023-8031, (2023)
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