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Published in 2025 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7908
Abstract: This article proposes a hierarchical interactive graph variational inference (HI‐GVI) approach to solve the data‐driven information perception problem in complex industrial networks of service. In the HI‐GVI approach, a multi‐layer latent graph structure is organized…
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Keywords:
variational inference;
hierarchical interactive;
graph variational;
interactive graph ... See more keywords
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Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3431955
Abstract: Infrared small target detection (ISTD) is a challenging task due to the small size and lack of intrinsic features. Meanwhile, small targets in the infrared spectrum often exhibit low contrast, which makes them difficult to…
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Keywords:
small target;
target detection;
hierarchical interactive;
learning network ... See more keywords
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Published in 2020 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.3005928
Abstract: Existing research exploits the semantic information from reviews to complement user-item interactions for item recommendation. However, as these approaches either defer the user-item interactions until the prediction layer or simply concatenate all the reviews of…
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Keywords:
item;
item recommendation;
user item;
hierarchical interactive ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3027992
Abstract: Salient object detection has undergone a very rapid development with the blooming of Deep Neural Network (DNN), which is usually taken as an important preprocessing procedure in various computer vision tasks. However, the down-sampling operations,…
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Keywords:
object detection;
salient object;
hierarchical interactive;
edge ... See more keywords