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Article
A deformable convolutional time-series prediction network with extreme peak and interval calibration
Deep modeling and analysis of human big data deepens our understanding of human activities. Periodic time-series signals, e.g., electrocardiographs, collected by health monitoring sensors reflect human health ...
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Chapter and Conference Paper
Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network
In many real-world networks, such as co-authorship, etc., relationships are complex and go beyond pairwise associations. Hypergraphs provide a flexible and natural modeling tool to model such complex relations...
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Article
Correlation embedding learning with dynamic semantic enhanced sampling for knowledge graph completion
Knowledge graph completion aims to solve the problem of incompleteness and sparsity in knowledge graphs. However, the negative sampling strategy in current completion methods samples entities with equal probab...
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Article
Structure-adaptive graph neural network with temporal representation and residual connections
Graph learning methods have boosted brain analysis for user healthcare, disease detection, and behavioral modeling. Spatially separated brain regions are functionally connected with different weights, enabling...
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Article
An efficient privacy-preserving blockchain storage method for internet of things environment
Blockchain is a key technology to realize decentralized trust management. In recent studies, sharding-based blockchain models are proposed and applied to the resource-constrained Internet of Things (IoT) scena...
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Chapter and Conference Paper
Towards Time-Series Key Points Detection Through Self-supervised Learning and Probability Compensation
Key points detection is crucial for signal analysis by marking the identification points of specific events. Deep learning methods have been introduced into key points detection tasks due to their significant ...
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Article
Example query on ontology-labels knowledge graph based on filter-refine strategy
The query processing on knowledge graphs has attracted significant attention in the past years. Different from the traditional query processing on knowledge graphs, the example query method can capture the use...
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Article
joinTree: A novel join-oriented multivariate operator for spatio-temporal data management in Flink
In the era of intelligent Internet, the management and analysis of massive spatio-temporal data is one of the important links to realize intelligent applications and build smart cities, in which the interactio...
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Article
Group relational privacy protection on time-constrained point of interests