A New Online Feature Selection Method Using Neighborhood Rough Set. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001 (ICBK, 2017)

Online feature selection for high-dimensional class-imbalanced data. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001 (Knowl. Based Syst., 2017)

A survey on online feature selection with streaming features. - Xuegang Hu; Peng Zhou 008; Pei-Pei Li 001; Jing Wang 021; Xindong Wu 001 (Frontiers Comput. Sci., 2018)

CEPV: A Tree Structure Information Extraction and Visualization Tool for Big Knowledge Graph. - Shaojing Sheng; Peng Zhou 008; Xindong Wu 001 (ICBK, 2019)

Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest. - Xindong Wu 001; Jia Wu 001; Xiaoyi Fu; Jiachen Li; Peng Zhou 008; Xu Jiang (ICDM, 2019)

Online streaming feature selection using adapted Neighborhood Rough Set. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001 (Inf. Sci., 2019)

OFS-Density: A novel online streaming feature selection method. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001 (Pattern Recognit., 2019)

Balanced Tree Partitioning with Succinct Logic. - Xindong Wu 001; Shaojing Sheng; Peng Zhou 008 (ICKG, 2020)

Online early terminated streaming feature selection based on Rough Set theory. - Peng Zhou 008; Peipei Li 001; Shu Zhao; Yanping Zhang 001 (Appl. Soft Comput., 2021)

Online group streaming feature selection considering feature interaction. - Peng Zhou 008; Ni Wang; Shu Zhao (Knowl. Based Syst., 2021)

Feature Interaction for Streaming Feature Selection. - Peng Zhou 008; Peipei Li 001; Shu Zhao; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Unknown Type Streaming Feature Selection via Maximal Information Coefficient. - Peng Zhou 008; Yunyun Zhang; Yuanting Yan; Shu Zhao (ICDM (Workshops), 2022)

General assembly framework for online streaming feature selection via Rough Set models. - Peng Zhou 008; Yunyun Zhang; Peipei Li 001; Xindong Wu 001 (Expert Syst. Appl., 2022)

Online Scalable Streaming Feature Selection via Dynamic Decision. - Peng Zhou 008; Shu Zhao; Yuan-Ting Yan; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2022)

Robust semi-supervised clustering via data transductive warping. - Peng Zhou 008; Ni Wang; Shu Zhao; Yanping Zhang 001 (Appl. Intell., 2023)

Fair Causal Feature Selection. - Zhaolong Ling; Jingxuan Wu; Yiwen Zhang 001; Peng Zhou 008; Xingyu Wu; Kui Yu; Xindong Wu 001 (CoRR, 2023)

Utilizing the influence of multiple potential factors for social recommendation. - Fulan Qian; Kaili Qin; Hai Chen; Jie Chen 025; Shu Zhao; Peng Zhou 008; Yanping Zhang 001 (Knowl. Inf. Syst., 2023)

Difficult Novel Class Detection in Semisupervised Streaming Data. - Peng Zhou 008; Ni Wang; Shu Zhao; Yanping Zhang 001; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Hybrid Local Causal Discovery. - Zhaolong Ling; Honghui Peng; Yiwen Zhang 001; Peng Zhou 008; Xingyu Wu; Kui Yu; Xindong Wu 001 (CoRR, 2024)

Unsupervised technical phrase extraction by incorporating structure and position information. - Peng Zhou 008; Xin Jiang; Shu Zhao (Expert Syst. Appl., 2024)

Explainable feature selection and ensemble classification via feature polarity. - Peng Zhou 008; Ji Liang; Yuanting Yan; Shu Zhao; Xindong Wu 001 (Inf. Sci., 2024)

Online Heterogeneous Streaming Feature Selection Without Feature Type Information. - Peng Zhou 008; Yunyun Zhang; Zhaolong Ling; Yuanting Yan; Shu Zhao; Xindong Wu 001 (IEEE Trans. Big Data, 2024)

Concept Evolution Detecting over Feature Streams. - Peng Zhou 008; Yufeng Guo; Haoran Yu 007; Yuanting Yan; Yanping Zhang 001; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Online learning from capricious data streams via shared and new feature spaces. - Peng Zhou 008; Shuai Zhang; Mu Li 003; Yuanting Yan (Appl. Intell., 2024)

Synthetic oversampling with Mahalanobis distance and local information for highly imbalanced class-overlapped data. - Yuanting Yan; Lei Zheng; Shuangyue Han; Chengjin Yu; Peng Zhou 008 (Expert Syst. Appl., 2025)

GDHS: An efficient hybrid sampling method for multi-class imbalanced data classification. - Yuanting Yan; Yan Lv; Shuangyue Han; Chengjin Yu; Peng Zhou 008 (Neurocomputing, 2025)

Data gravitation-based three-way sampling method for imbalanced data classification. - Yuanting Yan; Weiqing Wang; Yingao Ma; Yang Tian; Peng Zhou 008 (Inf. Sci., 2025)

EACE: Explain Anomaly via Counterfactual Explanations. - Peng Zhou 008; Qihui Tong; Shiji Chen; Yunyun Zhang; Xindong Wu 001 (Pattern Recognit., 2025)

Causal Discovery Using Weight-Based Conditional Independence Test. - Zhaolong Ling; Bo Li 143; Yiwen Zhang 001; Peng Zhou 008; Xingyu Wu; Yuee Huang; Kui Yu; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Constructive sample partition-based parameter-free sampling for class-overlapped imbalanced data classification. - Weiqing Wang; Yuanting Yan; Peng Zhou 008; Shu Zhao; Yiwen Zhang 001 (Appl. Intell., 2025)

Contextualized Quaternion Embedding Towards Polysemy in Knowledge Graph for Link Prediction. - Jie Chen 025; Yinlong Wang; Shu Zhao; Peng Zhou 008; Yanping Zhang 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)

Causal Feature Selection With Imbalanced Data. - Zhaolong Ling; Jingxuan Wu; Yiwen Zhang 001; Peng Zhou 008; Bingbing Jiang 001; Kui Yu; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Online Stable Streaming Feature Selection via Feature Aggregation. - Peng Zhou 008; Qi Wang; Yunyun Zhang; Zhaolong Ling; Shu Zhao; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2025)