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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3004609
Abstract: The blooming of cloud computing leads to the rapid expansion of data center networks (DCN). Conventional link state routing algorithms like OSPF are widely adopted in data center networks, however, those routing algorithms bring great…
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Keywords:
regular topologies;
topology aware;
topology;
sdn ... See more keywords
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Published in 2017 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2015.2430849
Abstract: eXplicit multicasting (Xcast) is a protocol to send data to multiple receivers in an efficient way. Compared with traditional stateful multicast, Xcast is based on a stateless approach that scales better in number of groups.…
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Keywords:
group size;
explicit multicasting;
topology;
topology aware ... See more keywords
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Published in 2025 at "IEEE Electron Device Letters"
DOI: 10.1109/led.2025.3618257
Abstract: Conventional passive memristor arrays face crosstalk challenges in on-chip neuromorphic computing, while 1T1R/1S1R architectures suffer from limited scalability and area overhead. Here, we propose a topology-aware recognition framework for crosstalk-free on-chip compute-in-memory (CIM) using high-performance…
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Keywords:
aware recognition;
recognition;
topology aware;
recognition framework ... See more keywords
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Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3539312
Abstract: As a ubiquitous deployment paradigm, integrating microservice architecture (MSA) into edge networks promises to enhance the flexibility and scalability of services. However, it also presents significant challenges stemming from dispersed node locations and intricate network…
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Keywords:
microservice architecture;
edge networks;
topology aware;
topology ... See more keywords
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Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3240825
Abstract: Anatomical labeling of head and neck vessels is a vital step for cerebrovascular disease diagnosis. However, it remains challenging to automatically and accurately label vessels in computed tomography angiography (CTA) since head and neck vessels…
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Keywords:
topology;
topology aware;
vessel;
graph ... See more keywords
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Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2021.3062794
Abstract: Pooling operations have shown to be effective on computer vision and natural language processing tasks. One challenge of performing pooling operations on graph data is the lack of locality that is not well-defined on graphs.…
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Keywords:
topology aware;
graph topology;
topology;
voting ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2022.3180679
Abstract: Graph neural networks (GNNs) have proven their ability in modelling graph-structured data in diverse domains, including natural language processing and computer vision. However, like other deep learning models, the lack of explainability is becoming a…
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Keywords:
topology;
neural networks;
topology aware;
air ... See more keywords
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Published in 2024 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2024.1395652
Abstract: In Human-Robot Interaction (HRI), accurate 3D hand pose and mesh estimation hold critical importance. However, inferring reasonable and accurate poses in severe self-occlusion and high self-similarity remains an inherent challenge. In order to alleviate the…
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Keywords:
hand pose;
mesh estimation;
hand;
topology aware ... See more keywords
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Published in 2025 at "Algorithms"
DOI: 10.3390/a18100640
Abstract: Transmembrane proteins (TMPs) constitute approximately 30% of the mammalian proteome and are critical targets in biomedical research due to their involvement in signaling, transport, and drug interactions. However, their unique structural characteristics pose significant challenges…
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Keywords:
transmembrane;
tmp m2align;
topology aware;
alignment ... See more keywords