Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree. - Caiyu Wang; Hong Wang 015; Hui Zhuang; Wei Li; Shu Han; Hui Zhang; Luhe Zhuang (J. Biomed. Informatics, 2020)

Weighted multi-scale limited penetrable visibility graph for exploring atrial fibrillation rhythm. - Wei Li; Hong Wang 015; Luhe Zhuang; Shu Han; Hui Zhang; Jihua Wang (Signal Process., 2021)

MS-ADR: predicting drug-drug adverse reactions base on multi-source heterogeneous convolutional signed network. - Luhe Zhuang; Hong Wang; Wei Li; Tianyu Liu; Shu Han; Hui Zhang (Soft Comput., 2022)

Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction. - Luhe Zhuang; Hong Wang 015; Jun Zhao 017; Yanshen Sun (Inf. Sci., 2023)

Explainable knowledge integrated sequence model for detecting fake online reviews. - Shu Han; Hong Wang 015; Wei Li; Hui Zhang; Luhe Zhuang (Appl. Intell., 2023)

Predicting drug-drug adverse reactions via multi-view graph contrastive representation model. - Luhe Zhuang; Hong Wang 015; Meifang Hua; Wei Li; Hui Zhang (Appl. Intell., 2023)

Detecting depression tendency with multimodal features. - Hui Zhang; Hong Wang 015; Shu Han; Wei Li; Luhe Zhuang (Comput. Methods Programs Biomed., 2023)

GCNs-FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization. - Wei Li; Hong Wang 015; Luhe Zhuang (Expert Syst. Appl., 2023)

EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning. - Hong Wang 015; Luhe Zhuang; Yijie Ding; Prayag Tiwari; Cheng Liang 001 (Artif. Intell. Medicine, 2025)

Multi-granularity physicochemical-inspired molecular representation learning for property prediction. - Kai Guan; Hong Wang 015; Luhe Zhuang; Yanshen Sun (Expert Syst. Appl., 2025)