A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks. - Xin-Fei Wang 001; Changqing Yu; Zhu-Hong You; Li-Ping Li 003; Wenzhun Huang; Zhong-Hao Ren; Yue-Chao Li; Weixiao Meng 001 (Briefings Bioinform., 2023)

An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding. - Xin-Fei Wang 001; Chang-Qing Yu; Zhu-Hong You; Yan Qiao 002; Zheng-Wei Li 001; Wenzhun Huang (Comput. Biol. Medicine, 2023)

RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding. - Chang-Qing Yu; Xin-Fei Wang 001; Li-Ping Li 003; Zhu-Hong You; Zhong-Hao Ren; Peng Chu; Feng Guo; Zhen-Yu Wang (J. Chem. Inf. Model., 2024)

A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer. - Lan Huang 002; Xin-Fei Wang 001; Yan Wang 028; Ren-Chu Guan; Nan Sheng; Xuping Xie; Lei Wang 121; Ziqi Zhao (Briefings Bioinform., 2024)

Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. - Xin-Fei Wang 001; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Wenju Hou (Briefings Bioinform., 2024)

A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers. - Xin-Fei Wang 001; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Qixing Yang (Briefings Bioinform., 2024)

MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules. - Yongjian Guan; Chang-Qing Yu; Li-Ping Li 003; Zhu-Hong You; Weixiao Meng 001; Xin-Fei Wang 001; Chen Yang; Lu-Xiang Guo (BMC Bioinform., 2024)

BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks. - Xin-Fei Wang 001; Chang-Qing Yu; Zhu-Hong You; Yan Wang 028; Lan Huang 002; Yan Qiao 002; Lei Wang 121; Zheng-Wei Li 001 (BMC Bioinform., 2024)

GSAM-MRI: Frequency-Based Domain Randomization for Generalized MR Image Segmentation with Segment Anything Model. - Lan Huang 002; Ziqi Zhao; Yinglu Sun; Xinfei Wang 001; Qixing Yang; Xuping Xie; Wenju Hou; Chunjie Guo; Yan Wang 028 (BIBM, 2025)

MuseCDA: Predicting CircRNA-Disease Associations Via Multi-Scale Structure Embedding. - Mengmeng Wei; Shengli Li; Yue-Chao Li; Xinfei Wang 001; Cheng-Wei Ruan; Ruo-Ran Li; Lei Wang 232 (BIBM, 2025)

Hither-CMI: Prediction of circRNA-miRNA Interactions Based on a Hybrid Multimodal Network and Higher-Order Neighborhood Information via a Graph Convolutional Network. - Chen Jiang; Lei Wang 232; Chang-Qing Yu; Zhu-Hong You; Xin-Fei Wang 001; Mengmeng Wei; Tailong Shi 002; Si-Zhe Liang; Dengwu Wang (J. Chem. Inf. Model., 2025)

Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks. - Xin-Fei Wang 001; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Fengfeng Zhou; Yuqing Li; Ziqi Zhao (J. Chem. Inf. Model., 2025)

HpMiX: A Disease ceRNA biomarker prediction framework driven by graph topology-constrained Mixup and hypergraph residual enhancement. - Xinfei Wang 001; Lan Huang 002; Yan Wang 028; Renchu Guan; Zhuhong You; Fengfeng Zhou; Yuqing Li; Yuan Fu (Neural Networks, 2026)

MuGNet-CMI: Multi-Head Hybrid Graph Neural Network for Predicting circRNA-miRNA Interactions With Global High-Order and Local Low-Order Information. - Chen Jiang; Lei Wang 121; Changqing Yu; Zhuhong You; Xinfei Wang 001; Mengmeng Wei; Mianshuo Lu (IEEE Trans. Big Data, 2026)

A Dynamic Multi-Scale Hypergraph Learning Framework Driven by Features and Structures for ceRNA-Disease Association Prediction. - Xinfei Wang 001; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Fengfeng Zhou; Yu-Qing Li; Yuan Fu (IEEE J. Biomed. Health Informatics, 2026)