基本信息
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Bio
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.
Research Interests
Papers共 76 篇Author StatisticsCo-AuthorSimilar Experts
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AAAI 2024no. 14 (2024): 16138-16146
PROCEEDINGS OF THE 17TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, WSDM 2024 (2024): 665-673
IEEE transactions on neural networks and learning systemsno. 99 (2024): 1-12
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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CoRR (2024)
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CoRR (2023)
CoRR (2023)
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023 (2023): 1389-1399
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