Zhishu Shen — accepted AI-conference papers

2025

HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications

Ziming Zhao, Tiehua Zhang, Zijian Yi, Zhishu Shen

ICASSP 2025accepted

Hypergraphs are increasingly utilized in both unimodal and multimodal data scenarios due to their superior ability to model and extract higher-order relationships among nodes, compared to traditional graphs. However, current hypergraph models are encountering challenges related to imbalanced data, a…

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2024

Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning

Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang +2

ICASSP 2024accepted

Sleep stage classification is crucial for detecting patients’ health conditions. Existing models, which mainly use Convolutional Neural Networks (CNN) for modelling Euclidean data and Graph Convolution Networks (GNN) for modelling non-Euclidean data, are unable to consider the heterogeneity and inte…

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