Peng Zhou

According to our database, Peng Zhou authored at least 24 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Synthetic oversampling with Mahalanobis distance and local information for highly imbalanced class-overlapped data.

Yuanting Yan, Lei Zheng, Shuangyue Han, Chengjin Yu, Peng Zhou

Expert Syst. Appl., 2025

2024

Online learning from capricious data streams via shared and new feature spaces.

Peng Zhou, Shuai Zhang, Mu Li, Yuanting Yan

Appl. Intell., October, 2024

Concept Evolution Detecting over Feature Streams.

Peng Zhou, Yufeng Guo, Haoran Yu, Yuanting Yan, Yanping Zhang, Xindong Wu

ACM Trans. Knowl. Discov. Data, September, 2024

Online Heterogeneous Streaming Feature Selection Without Feature Type Information.

Peng Zhou, Yunyun Zhang, Zhaolong Ling, Yuanting Yan, Shu Zhao, Xindong Wu

IEEE Trans. Big Data, August, 2024

Explainable feature selection and ensemble classification via feature polarity.

Peng Zhou, Ji Liang, Yuanting Yan, Shu Zhao, Xindong Wu

Inf. Sci., 2024

Unsupervised technical phrase extraction by incorporating structure and position information.

Peng Zhou, Xin Jiang, Shu Zhao

Expert Syst. Appl., 2024

2023

Difficult Novel Class Detection in Semisupervised Streaming Data.

Peng Zhou, Ni Wang, Shu Zhao, Yanping Zhang, Xindong Wu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Utilizing the influence of multiple potential factors for social recommendation.

Fulan Qian, Kaili Qin, Hai Chen, Jie Chen, Shu Zhao, Peng Zhou, Yanping Zhang

Knowl. Inf. Syst., October, 2023

Fair Causal Feature Selection.

Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu

CoRR, 2023

Robust semi-supervised clustering via data transductive warping.

Peng Zhou, Ni Wang, Shu Zhao, Yanping Zhang

Appl. Intell., 2023

2022

Online Scalable Streaming Feature Selection via Dynamic Decision.

Peng Zhou, Shu Zhao, Yuan-Ting Yan, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2022

General assembly framework for online streaming feature selection via Rough Set models.

Peng Zhou, Yunyun Zhang, Peipei Li, Xindong Wu

Expert Syst. Appl., 2022

Unknown Type Streaming Feature Selection via Maximal Information Coefficient.

Peng Zhou, Yunyun Zhang, Yuanting Yan, Shu Zhao

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Feature Interaction for Streaming Feature Selection.

Peng Zhou, Peipei Li, Shu Zhao, Xindong Wu

IEEE Trans. Neural Networks Learn. Syst., 2021

Online group streaming feature selection considering feature interaction.

Peng Zhou, Ni Wang, Shu Zhao

Knowl. Based Syst., 2021

Online early terminated streaming feature selection based on Rough Set theory.

Peng Zhou, Peipei Li, Shu Zhao, Yanping Zhang

Appl. Soft Comput., 2021

2020

Balanced Tree Partitioning with Succinct Logic.

Xindong Wu, Shaojing Sheng, Peng Zhou

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

OFS-Density: A novel online streaming feature selection method.

Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu

Pattern Recognit., 2019

Online streaming feature selection using adapted Neighborhood Rough Set.

Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu

Inf. Sci., 2019

Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest.

Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

CEPV: A Tree Structure Information Extraction and Visualization Tool for Big Knowledge Graph.

Shaojing Sheng, Peng Zhou, Xindong Wu

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018

A survey on online feature selection with streaming features.

Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu

Frontiers Comput. Sci., 2018

2017

Online feature selection for high-dimensional class-imbalanced data.

Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu

Knowl. Based Syst., 2017

A New Online Feature Selection Method Using Neighborhood Rough Set.

Peng Zhou, Xuegang Hu, Pei-Pei Li

Proceedings of the IEEE International Conference on Big Knowledge, 2017