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Lei Li

Orcid: 0000-0003-0013-2735

Affiliations:
  • Qufu Normal University, Qufu, China


According to our database1, Lei Li authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Drug combination prediction for parasitic diseases through information-augmented hypergraph neural network.
[BibTeX]
[DOI]
Lei Li
,
Hongyu Zhang
,
Meng Mi
,
Haitao Li
,
Guodong Lü
,
Chun-Hou Zheng
,
Yansen Su
Future Gener. Comput. Syst., 2026

2024
MDNNSyn: A Multi-Modal Deep Learning Framework for Drug Synergy Prediction.
[BibTeX]
[DOI]
Lei Li
,
Haitao Li
,
Tseren-Onolt Ishdorj
,
Chun-Hou Zheng
,
Yansen Su
IEEE J. Biomed. Health Informatics, October, 2024

MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination Prediction.
[BibTeX]
[DOI]
Lei Li
,
Guodong Lü
,
Chun-Hou Zheng
,
Renyong Lin
,
Yansen Su
Big Data Min. Anal., 2024

2022
Predicting miRNA-Disease Association Based on Improved Graph Regression.
[BibTeX]
[DOI]
Lei Li
,
Zhen Gao
,
Chun-Hou Zheng
,
Rong Qi
,
Yu-Tian Wang
,
Jian-Cheng Ni
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

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

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

GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations.
[BibTeX]
[DOI]
Dian-Xiao Wang
,
Cunmei Ji
,
Yu-Tian Wang
,
Lei Li
,
Jian-Cheng Ni
,
Bin Li
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
[BibTeX]
[DOI]
Lei Li
,
Yu-Tian Wang
,
Cunmei Ji
,
Chun-Hou Zheng
,
Jian-Cheng Ni
,
Yan-Sen Su
PLoS Comput. Biol., 2021

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

RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association.
[BibTeX]
[DOI]
Ming-Wen Zhang
,
Yu-Tian Wang
,
Zhen Gao
,
Lei Li
,
Jian-Cheng Ni
,
Chun-Hou Zheng
Proceedings of the Intelligent Computing Theories and Application, 2021


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