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 26 papers between 2006 and 2023.

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

Timeline

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Bibliography

2023
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.
IEEE J. Biomed. Health Informatics, December, 2023

Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Predicting miRNA-Disease Association Based on Improved Graph Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 2022

Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
PLoS Comput. Biol., 2021

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.
PLoS Comput. Biol., 2021

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.
BMC Medical Informatics Decis. Mak., 2021

Global-Affine and Local-Specific Generative Adversarial Network for semantic-guided image generation.
Math. Found. Comput., 2021

Background and foreground disentangled generative adversarial network for scene image synthesis.
Comput. Graph., 2021

AEMDA: inferring miRNA-disease associations based on deep autoencoder.
Bioinform., 2021

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.
Briefings Bioinform., 2021

RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association.
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.
BMC Bioinform., 2020

Instance Mask Embedding and Attribute-Adaptive Generative Adversarial Network for Text-to-Image Synthesis.
IEEE Access, 2020

2019
HGMDA: HyperGraph for Predicting MiRNA-Disease Association.
Proceedings of the Intelligent Computing Theories and Application, 2019

2008
Dichotomy Method toward Interactive Testing-Based Fault Localization.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
Self-adaptive Intrusion Detection System for Computational Grid.
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.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Software Fault Localization Based on Testing Requirement and Program Slice.
Proceedings of the International Conference on Networking, 2007

FSCP: A Resource Space Model Based on Semantically Enabled P2P Grid.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006
An Immunity-Based Dynamic Multilayer Intrusion Detection System.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

NASC: A Novel Approach for Spam Classification.
Proceedings of the Computational Intelligence and Bioinformatics, 2006


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