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09/05/2023
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning
Sleep stage classification is crucial for detecting patients' health con...
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07/07/2023
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Graph neural network (GNN) has gained increasing popularity in recent ye...
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06/05/2023
Few Shot Rationale Generation using Self-Training with Dual Teachers
Self-rationalizing models that also generate a free-text explanation for...
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06/02/2023
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer – A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
Vulnerability detection is a critical problem in software security and a...
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05/05/2023
Adaptive Graph Convolutional Subspace Clustering
Spectral-type subspace clustering algorithms have shown excellent perfor...
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06/06/2022
MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks
Siamese networks are widely used for remote sensing change detection tas...
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10/23/2021
RPT++: Customized Feature Representation for Siamese Visual Tracking
While recent years have witnessed remarkable progress in the feature rep...
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09/14/2020
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection
Much recent research has shed light on the development of the relation-d...
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08/08/2020
RPT: Learning Point Set Representation for Siamese Visual Tracking
While remarkable progress has been made in robust visual tracking, accur...
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12/11/2019
A Closer Look at Disentangling in β-VAE
In many data analysis tasks, it is beneficial to learn representations w...
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12/04/2015