English
norskBlar i forfatter Artikler, rapporter og annet (fysikk og teknologi) "Xing, Eric"
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Federated Partially Supervised Learning With Limited Decentralized Medical Images
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-20)Data government has played an instrumental role in securing the privacy-critical infrastructure in the medical domain and has led to an increased need of federated learning (FL). While decentralization can limit the effectiveness of standard supervised learning, the impact of decentralization on partially supervised learning remains unclear. Besides, due to data scarcity, each client may have access ... -
Negational symmetry of quantum neural networks for binary pattern classification
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-27)Although quantum neural networks (QNNs) have shown promising results in solving simple machine learning tasks recently, the behavior of QNNs in binary pattern classification is still underexplored. In this work, we find that QNNs have an Achilles’ heel in binary pattern classification. To illustrate this point, we provide a theoretical insight into the properties of QNNs by presenting and analyzing ... -
Towards robust partially supervised multi-structure medical image segmentation on small-scale data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-20)The data-driven nature of deep learning (DL) models for semantic segmentation requires a large number of pixel-level annotations. However, large-scale and fully labeled medical datasets are often unavailable for practical tasks. Recently, partially supervised methods have been proposed to utilize images with incomplete labels in the medical domain. To bridge the methodological gaps in ...
