RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association. - Ming-Wen Zhang; Yu-Tian Wang; Zhen Gao; Lei Li 063; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (ICIC (3), 2021)

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization. - Lei Li 063; Zhen Gao; Yu-Tian Wang; Ming-Wen Zhang; Jian-Cheng Ni 001; Chun-Hou Zheng 001; Yansen Su (PLoS Comput. Biol., 2021)

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder. - Lei Li 063; Yu-Tian Wang; Cunmei Ji; Chun-Hou Zheng 001; Jian-Cheng Ni 001; Yan-Sen Su (PLoS Comput. Biol., 2021)

GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations. - Dian-Xiao Wang; Cunmei Ji; Yu-Tian Wang; Lei Li 063; Jian-Cheng Ni 001; Bin Li (ICIC (2), 2022)

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs. - Zhen Gao; Yu-Tian Wang; Qing-Wen Wu; Lei Li 063; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder. - Cunmei Ji; Yutian Wang; Zhen Gao; Lei Li 063; Jiancheng Ni 001; Chunhou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Predicting miRNA-Disease Association Based on Improved Graph Regression. - Lei Li 063; Zhen Gao; Chun-Hou Zheng 001; Rong Qi; Yu-Tian Wang; Jian-Cheng Ni 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination Prediction. - Lei Li 063; Guodong Lü; Chun-Hou Zheng 001; Renyong Lin; Yansen Su (Big Data Min. Anal., 2024)

MDNNSyn: A Multi-Modal Deep Learning Framework for Drug Synergy Prediction. - Lei Li 063; Haitao Li 004; Tseren-Onolt Ishdorj; Chun-Hou Zheng 001; Yansen Su (IEEE J. Biomed. Health Informatics, 2024)

Drug combination prediction for parasitic diseases through information-augmented hypergraph neural network. - Lei Li 063; Hongyu Zhang; Meng Mi; Haitao Li 004; Guodong Lü; Chun-Hou Zheng 001; Yansen Su (Future Gener. Comput. Syst., 2026)