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Author

Jie Wei

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Preprint Aug 2026

A Network-driven Framework for Public Event Forecasting via Dynamic Interaction Network Evolution

Auto-ibDLM is proposed, a network-driven deep learning framework that represents events as dynamic interaction networks and predicts public event evolution through participant growth forecasting and consistently outperforms representative state-of-the-art methods in both forecasting accuracy and generalization capabili...

Jie Wei, Yue Liu, Xiao-Chuan Tang et al. · 0 citations
Aug 2026

Sadgae: doubly enhanced graph autoencoder with self-adaptive cell graph for single-cell RNA-Seq clustering

SaDGAE, an unsupervised deep graph autoencoder (GAE) framework that jointly models gene expression patterns and cell–cell relationships, achieves strong and competitive clustering performance, yielding biologically interpretable clusters and accurately recovering known marker gene patterns.

Xiang-Hui Liu, Yanmei Hu, Sheng-Lin Yang et al. · 0 citations
Review Open access Aug 2026

Machine Learning for Individual Credit Risk Assessment: A Systematic Literature Review of State-of-the-Art Methods, Challenges and Perspectives

A systematic literature review of ML applications in credit risk assessment (CRA), covering publications from January 2016 to May 2026, synthesise prevailing methodologies into a unified end-to-end credit risk modelling framework spanning data preprocessing, feature engineering, model training, evaluation, and operatio...

Bo-Lun Zhang, Jun Luo, Ruobing Wu et al. · 1 citation

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