Cunmei Ji

Orcid: 0000-0002-7004-3351

According to our database¹, Cunmei Ji authored at least 13 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, December, 2023

Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2022

Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2022

A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

AEMDA: inferring miRNA-disease associations based on deep autoencoder.

[BibT_eX]

[DOI]

Bioinform., 2021

ICNNMDA: An Improved Convolutional Neural Network for Predicting MiRNA-Disease Associations.

[BibT_eX]

[DOI]

Rui-Kang Ni

Zhen Gao

Cunmei Ji

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

Secure multiparty learning from the aggregation of locally trained models.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2020

2019

Secure Multiparty Learning from Aggregation of Locally Trained Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019

Cunmei Ji

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