Peng Zhou

Orcid: 0000-0002-3607-0022

Affiliations:
  • Hefei University of Technology, China


According to our database1, Peng Zhou authored at least 18 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2023
Difficult Novel Class Detection in Semisupervised Streaming Data.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Utilizing the influence of multiple potential factors for social recommendation.
Knowl. Inf. Syst., October, 2023

Fair Causal Feature Selection.
CoRR, 2023

Robust semi-supervised clustering via data transductive warping.
Appl. Intell., 2023

2022
Online Scalable Streaming Feature Selection via Dynamic Decision.
ACM Trans. Knowl. Discov. Data, 2022

General assembly framework for online streaming feature selection via Rough Set models.
Expert Syst. Appl., 2022

Unknown Type Streaming Feature Selection via Maximal Information Coefficient.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Feature Interaction for Streaming Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2021

Online group streaming feature selection considering feature interaction.
Knowl. Based Syst., 2021

Online early terminated streaming feature selection based on Rough Set theory.
Appl. Soft Comput., 2021

2020
Balanced Tree Partitioning with Succinct Logic.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
OFS-Density: A novel online streaming feature selection method.
Pattern Recognit., 2019

Online streaming feature selection using adapted Neighborhood Rough Set.
Inf. Sci., 2019

Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

CEPV: A Tree Structure Information Extraction and Visualization Tool for Big Knowledge Graph.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018
A survey on online feature selection with streaming features.
Frontiers Comput. Sci., 2018

2017
Online feature selection for high-dimensional class-imbalanced data.
Knowl. Based Syst., 2017

A New Online Feature Selection Method Using Neighborhood Rough Set.
Proceedings of the IEEE International Conference on Big Knowledge, 2017


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