Ping Zhang

Orcid: 0000-0002-2645-9157

Affiliations:

Hebei University of Technology, School of Artificial Intelligence, Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China
Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, Chian (PhD 2018)
Jilin University, College of Software, Changchun, China

According to our database¹, Ping Zhang authored at least 27 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Label generation with consistency on the graph for multi-label feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2024

2023

MFSJMI: Multi-label feature selection considering join mutual information and interaction weight.

[BibT_eX]

[DOI]

Ping Zhang

Guixia Liu

Jiazhi Song

Pattern Recognit., June, 2023

Multi-label feature selection via redundancy of the selected feature set.

[BibT_eX]

[DOI]

Haibo Zhong

Ping Zhang

Guixia Liu

Appl. Intell., May, 2023

A unified low-order information-theoretic feature selection framework for multi-label learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

2022

Multi-label feature selection method based on dynamic weight.

[BibT_eX]

[DOI]

Soft Comput., 2022

Feature-specific mutual information variation for multi-label feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2022

2021

Preserving Similarity and Staring Decisis for Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2021

Multi-label feature selection considering label supplementation.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Multi-label feature selection based on the division of label topics.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Multi-Label Feature Selection Combining Three Types of Conditional Relevance.

[BibT_eX]

[DOI]

Entropy, 2021

A conditional-weight joint relevance metric for feature relevancy term.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Feature relevance term variation for multi-label feature selection.

[BibT_eX]

[DOI]

Ping Zhang

Wanfu Gao

Appl. Intell., 2021

2020

Multi-label feature selection with shared common mode.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Robust multi-label feature selection with dual-graph regularization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Multi-Label Feature Selection Based on High-Order Label Correlation Assumption.

[BibT_eX]

[DOI]

Entropy, 2020

Feature selection considering Uncertainty Change Ratio of the class label.

[BibT_eX]

[DOI]

Ping Zhang

Wanfu Gao

Appl. Soft Comput., 2020

Feature redundancy term variation for mutual information-based feature selection.

[BibT_eX]

[DOI]

Wanfu Gao

Liang Hu

Ping Zhang

Appl. Intell., 2020

A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection.

[BibT_eX]

[DOI]