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04/06/2023
SS-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets
Shapelets that discriminate time series using local features (subsequenc...
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03/13/2023
Hybrid Variational Autoencoder for Time Series Forecasting
Variational autoencoders (VAE) are powerful generative models that learn...
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06/21/2022
Transferable Graph Backdoor Attack
Graph Neural Networks (GNNs) have achieved tremendous success in many gr...
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05/14/2022
Fake News Quick Detection on Dynamic Heterogeneous Information Networks
The spread of fake news has caused great harm to society in recent years...
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05/11/2022
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Influence Maximization (IM), which aims to select a set of users from a ...
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10/08/2021
Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions
The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has lasted...
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09/21/2021
Representation Learning for Short Text Clustering
Effective representation learning is critical for short text clustering ...
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04/15/2021
Variational Co-embedding Learning for Attributed Network Clustering
Recent works for attributed network clustering utilize graph convolution...
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07/05/2020
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia
The recent COVID-19 pandemic has caused unprecedented impact across the ...
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07/05/2020
Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media
The outbreak of the novel Coronavirus Disease (COVID-19) has greatly inf...
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06/22/2020