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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-01497-y
Abstract: Individual characteristics, topic characteristics, and network structure factors are crucial for topic dissemination in social networks. However, existing models lack well integrated modelling of higher-order network structures with individual and topic characteristics. A new topic…
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Keywords:
hypernetwork;
dissemination;
dissemination model;
model based ... See more keywords
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Published in 2022 at "Chaos"
DOI: 10.1063/5.0091626
Abstract: Though synchronization of complex dynamical systems has been widely studied in the past few decades, few studies pay attention to the impact of network parameters on synchronization in hypernetworks. In this paper, we focus on…
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Keywords:
hypernetwork;
network;
time;
inner coupling ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3400367
Abstract: Channel decoding algorithms based on model-driven deep learning, also known as channel neural decoding algorithms, have received a lot of attention in recent years. However, the internal parameters and number of layers of the current…
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Keywords:
hypernetwork;
neural decoding;
network;
hypernetwork based ... See more keywords
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Published in 2025 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2025.3574329
Abstract: Hypernetwork has recently emerged as a promising technique to generate personalized models in federated learning (FL). However, existing works tend to treat each client equally and independently — each client contributes equally to learning the…
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Keywords:
hypernetwork;
personalization;
client;
federated learning ... See more keywords
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Published in 2024 at "IEEE Transactions on Engineering Management"
DOI: 10.1109/tem.2023.3295951
Abstract: Engineering construction enterprises often need to partner with R&D institutions and jointly carry out technological innovation activities. Identifying the right R&D partner(s) for the job is key. An accurate selection of R&D partners requires examining…
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Keywords:
hypernetwork;
innovation;
knowledge;
framework ... See more keywords
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Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3118494
Abstract: Phase retrieval (PR) is an important component in modern computational imaging systems. Recent advances in deep learning have introduced new possibilities for a robust and fast PR. An emerging technique called deep unfolding provides a…
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Keywords:
consistent signal;
expectation consistent;
hypernetwork;
phase retrieval ... See more keywords