Jiancheng Ni

Orcid: 0000-0001-5667-9807

Affiliations:

Qufu Normal University, School of Software, Network Information Center, China
Sichuan University, Chengdu, China (PhD 2008)

According to our database¹, Jiancheng Ni authored at least 28 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, December, 2023

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

[BibT_eX]

[DOI]

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

2022

Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation.

[BibT_eX]

[DOI]

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

Predicting miRNA-Disease Association Based on Improved Graph Regression.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 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

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs.

[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

2021

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2021

Global-Affine and Local-Specific Generative Adversarial Network for semantic-guided image generation.

[BibT_eX]

[DOI]

Math. Found. Comput., 2021

Background and foreground disentangled generative adversarial network for scene image synthesis.

[BibT_eX]

[DOI]

Comput. Graph., 2021

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

[BibT_eX]

[DOI]

Bioinform., 2021

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

Graph regularized L<sub>2, 1</sub>-nonnegative matrix factorization for miRNA-disease association prediction.

[BibT_eX]

[DOI]

BMC Bioinform., 2020

Instance Mask Embedding and Attribute-Adaptive Generative Adversarial Network for Text-to-Image Synthesis.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

HGMDA: HyperGraph for Predicting MiRNA-Disease Association.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

2008

Dichotomy Method toward Interactive Testing-Based Fault Localization.

[BibT_eX]

[DOI]

Jirong Sun

Zhishu Li

Jiancheng Ni

Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007

Self-adaptive Intrusion Detection System for Computational Grid.

[BibT_eX]

[DOI]

Proceedings of the First Joint IEEE/IFIP Symposium on Theoretical Aspects of Software Engineering, 2007

Threats Analysis and Prevention for Grid and Web Service Security.

[BibT_eX]

[DOI]

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Software Fault Localization Based on Testing Requirement and Program Slice.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Networking, 2007

FSCP: A Resource Space Model Based on Semantically Enabled P2P Grid.

[BibT_eX]

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006

An Immunity-Based Dynamic Multilayer Intrusion Detection System.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Bioinformatics, 2006

NASC: A Novel Approach for Spam Classification.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Bioinformatics, 2006

Jiancheng Ni

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