We stand with Ukraine  

Ping Zhang

Orcid: 0000-0001-6831-1807

Affiliations:
  • Huazhong Agricultural University, College of Informatics, Wuhan, China
  • BaoJi University of Arts and Sciences, School of Computer, Baoji, China


According to our database1, Ping Zhang authored at least 11 papers between 2020 and 2024.

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

2024
SAGCN: Using Graph Convolutional Network With Subgraph-Aware for circRNA-Drug Sensitivity Identification.
[BibTeX]
[DOI]
Weicheng Sun
,
Chengjuan Ren
,
Jinsheng Xu
,
Ping Zhang
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers.
[BibTeX]
[DOI]
Jinsheng Xu
,
Weicheng Sun
,
Kai Li
,
Wenxue Zhang
,
Weihan Zhang
,
Yongbin Zeng
,
Leon Wong
,
Ping Zhang
Knowl. Based Syst., 2024

Funnel graph neural networks with multi-granularity cascaded fusing for protein-protein interaction prediction.
[BibTeX]
[DOI]
Weicheng Sun
,
Jinsheng Xu
,
Weihan Zhang
,
Xuelian Li
,
Yongbin Zeng
,
Ping Zhang
Expert Syst. Appl., 2024

2023
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation.
[BibTeX]
[DOI]
Ping Zhang
,
Weicheng Sun
,
Dengguo Wei
,
Guodong Li
,
Jinsheng Xu
,
Zhuhong You
,
Bowei Zhao
,
Li Li
BMC Bioinform., December, 2023

iEnhance: a multi-scale spatial projection encoding network for enhancing chromatin interaction data resolution.
[BibTeX]
[DOI]
Kai Li
,
Ping Zhang
,
Zilin Wang
,
Wei Shen
,
Weicheng Sun
,
Jinsheng Xu
,
Zi Wen
,
Li Li
Briefings Bioinform., July, 2023

GA-ENs: A novel drug-target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty.
[BibTeX]
[DOI]
Guodong Li
,
Weicheng Sun
,
Jinsheng Xu
,
Lun Hu
,
Weihan Zhang
,
Ping Zhang
Appl. Soft Comput., May, 2023

2022
Bridging-BPs: a novel approach to predict potential drug-target interactions based on a bridging heterogeneous graph and BPs2vec.
[BibTeX]
[DOI]
Guodong Li
,
Ping Zhang
,
Weicheng Sun
,
Chengjuan Ren
,
Lei Wang
Briefings Bioinform., 2022

MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction.
[BibTeX]
[DOI]
Bo-Wei Zhao
,
Lun Hu
,
Pengwei Hu
,
Zhu-Hong You
,
Xiao-Rui Su
,
Dong-Xu Li
,
Zhan-Heng Chen
,
Ping Zhang
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations.
[BibTeX]
[DOI]
Bo-Wei Zhao
,
Zhu-Hong You
,
Lun Hu
,
Leon Wong
,
Bo-Ya Ji
,
Ping Zhang
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information.
[BibTeX]
[DOI]
Bo-Wei Zhao
,
Ping Zhang
,
Zhu-Hong You
,
Ji-Ren Zhou
,
Xiao Li
Proceedings of the Intelligent Computing Theories and Application, 2020

A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model.
[BibTeX]
[DOI]
Ping Zhang
,
Bo-Wei Zhao
,
Leon Wong
,
Zhu-Hong You
,
Zhen-Hao Guo
,
Hai-Cheng Yi
Proceedings of the Intelligent Computing Theories and Application, 2020


  Loading...