Peng Zhou

Orcid: 0000-0002-3607-0022

Affiliations:
  • Hefei University of Technology, China


According to our database1, Peng Zhou authored at least 33 papers between 2017 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Online Stable Streaming Feature Selection via Feature Aggregation.
ACM Trans. Knowl. Discov. Data, April, 2025

Causal Feature Selection With Imbalanced Data.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Contextualized Quaternion Embedding Towards Polysemy in Knowledge Graph for Link Prediction.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2025

Constructive sample partition-based parameter-free sampling for class-overlapped imbalanced data classification.
Appl. Intell., April, 2025

Causal Discovery Using Weight-Based Conditional Independence Test.
ACM Trans. Knowl. Discov. Data, January, 2025

EACE: Explain Anomaly via Counterfactual Explanations.
Pattern Recognit., 2025

Data gravitation-based three-way sampling method for imbalanced data classification.
Inf. Sci., 2025

GDHS: An efficient hybrid sampling method for multi-class imbalanced data classification.
Neurocomputing, 2025

Synthetic oversampling with Mahalanobis distance and local information for highly imbalanced class-overlapped data.
Expert Syst. Appl., 2025

2024
Online learning from capricious data streams via shared and new feature spaces.
Appl. Intell., October, 2024

Concept Evolution Detecting over Feature Streams.
ACM Trans. Knowl. Discov. Data, September, 2024

Online Heterogeneous Streaming Feature Selection Without Feature Type Information.
IEEE Trans. Big Data, August, 2024

Explainable feature selection and ensemble classification via feature polarity.
Inf. Sci., 2024

Unsupervised technical phrase extraction by incorporating structure and position information.
Expert Syst. Appl., 2024

Hybrid Local Causal Discovery.
CoRR, 2024

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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