Zhong Yuan

According to our database, Zhong Yuan authored at least 51 papers between 2015 and 2024.

Collaborative distances:

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

2024

Unsupervised attribute reduction based on neighborhood dependency.

Yi Li, Benwen Zhang, Zhong Yuan, Yuncheng Liu, Shenhong Lei, Xingqiang Tan

Appl. Intell., November, 2024

Kernelized Fuzzy-Rough Anomaly Detection.

Yan Wu, Sihan Wang, Hongmei Chen, Dezhong Peng, Zhong Yuan

IEEE Trans. Fuzzy Syst., August, 2024

Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement.

Xianyong Zhang, Zhong Yuan, Duoqian Miao

IEEE Trans. Knowl. Data Eng., May, 2024

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Fusing multi-scale fuzzy information to detect outliers.

Baiyang Chen, Yongxiang Li, Dezhong Peng, Hongmei Chen, Zhong Yuan

Inf. Fusion, March, 2024

Two-dimensional improved attribute reductions based on distance granulation and condition entropy in incomplete interval-valued decision systems.

Benwei Chen, Xianyong Zhang, Zhong Yuan

Inf. Sci., February, 2024

Exploiting fuzzy rough entropy to detect anomalies.

Sihan Wang, Zhong Yuan, Chuan Luo, Hongmei Chen, Dezhong Peng

Int. J. Approx. Reason., February, 2024

Fast Multi-view Subspace Clustering with Balance Anchors Guidance.

Yong Mi, Hongmei Chen, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Pattern Recognit., January, 2024

Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures.

Tengyu Yin, Hongmei Chen, Zhihong Wang, Keyu Liu, Zhong Yuan, Shi-Jinn Horng, Tianrui Li

Pattern Recognit., 2024

Multi-label feature selection using self-information in divergence-based fuzzy neighborhood rough sets.

Jiefang Jiang, Xianyong Zhang, Zhong Yuan

Pattern Recognit., 2024

Feature selections based on two-type overlap degrees and three-view granulation measures for k-nearest-neighbor rough sets.

Jiang Chen, Xianyong Zhang, Zhong Yuan

Pattern Recognit., 2024

Adaptive label secondary reconstruction for missing multi-label learning.

Zhi Qin, Hongmei Chen, Tengyu Yin, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Knowl. Based Syst., 2024

Graph and text multi-modal representation learning with momentum distillation on Electronic Health Records.

Yu Cao, Xu Wang, Qian Wang, Zhong Yuan, Yongguo Shi, Dezhong Peng

Knowl. Based Syst., 2024

Detecting anomalies with granular-ball fuzzy rough sets.

Xinyu Su, Zhong Yuan, Baiyang Chen, Dezhong Peng, Hongmei Chen, Yingke Chen

Inf. Sci., 2024

Integrating confidence calibration and adversarial robustness via adversarial calibration entropy.

Yong Chen, Peng Hu, Zhong Yuan, Dezhong Peng, Xu Wang

Inf. Sci., 2024

Feature selection for classification with Spearman's rank correlation coefficient-based self-information in divergence-based fuzzy rough sets.

Jiefang Jiang, Xianyong Zhang, Zhong Yuan

Expert Syst. Appl., 2024

LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.

Tengyu Yin, Hongmei Chen, Zhong Yuan, Binbin Sang, Shi-Jinn Horng, Tianrui Li, Chuan Luo

Eng. Appl. Artif. Intell., 2024

Attribute granules-based object entropy for outlier detection in nominal data.

Chang Liu, Dezhong Peng, Hongmei Chen, Zhong Yuan

Eng. Appl. Artif. Intell., 2024

Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets.

Baiyang Chen, Zhong Yuan, Dezhong Peng, Xiaoliang Chen, Hongmei Chen

Appl. Soft Comput., 2024

MFCD:A Deep Learning Method with Fuzzy Clustering for Time Series Anomaly Detection.

Kaisheng Luo, Chang Liu, Baiyang Chen, Xuedong Li, Dezhong Peng, Zhong Yuan

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction.

Tengyu Yin, Hongmei Chen, Zhong Yuan, Jihong Wan, Keyu Liu, Shi-Jinn Horng, Tianrui Li

IEEE Trans. Fuzzy Syst., December, 2023

Heterogeneous Ensemble Feature Selection for Network Intrusion Detection System.

Yeshalem Gezahegn Damtew, Hongmei Chen, Zhong Yuan

Int. J. Comput. Intell. Syst., December, 2023

Fuzzy granular anomaly detection using Markov random walk.

Chang Liu, Zhong Yuan, Baiyang Chen, Hongmei Chen, Dezhong Peng

Inf. Sci., October, 2023

Learning relationship-preserving representation for multi-task adversarial attacks.

Yong Chen, Xu Wang, Peng Hu, Zhong Yuan, Dezhong Peng, Qilin Li

Neurocomputing, October, 2023

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang

IEEE Trans. Fuzzy Syst., September, 2023

Multiscale Fuzzy Entropy-Based Feature Selection.

Zhihong Wang, Hongmei Chen, Zhong Yuan, Jihong Wan, Tianrui Li

IEEE Trans. Fuzzy Syst., September, 2023

MFGAD: Multi-fuzzy granules anomaly detection.

Zhong Yuan, Hongmei Chen, Chuan Luo, Dezhong Peng

Inf. Fusion, July, 2023

Robust feature selection using label enhancement and <i>β</i>-precision fuzzy rough sets for multilabel fuzzy decision system.

Tengyu Yin, Hongmei Chen, Tianrui Li, Zhong Yuan, Chuan Luo

Fuzzy Sets Syst., June, 2023

Fuzzy-rough hybrid dimensionality reduction.

Zhihong Wang, Hongmei Chen, Zhong Yuan, Tianrui Li

Fuzzy Sets Syst., May, 2023

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection.

Tengyu Yin, Hongmei Chen, Zhong Yuan, Tianrui Li, Keyu Liu

Inf. Sci., April, 2023

Anomaly detection based on weighted fuzzy-rough density.

Zhong Yuan, Baiyang Chen, Jia Liu, Hongmei Chen, Dezhong Peng, Peilin Li

Appl. Soft Comput., February, 2023

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space.

Jihong Wan, Hongmei Chen, Tianrui Li, Binbin Sang, Zhong Yuan

IEEE Trans. Fuzzy Syst., 2023

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.

Jihong Wan, Hongmei Chen, Tianrui Li, Zhong Yuan, Jia Liu, Wei Huang

IEEE Trans. Cybern., 2023

Statistically Dependent Blind Signal Separation Under Relaxed Sparsity.

Yongxiang Li, Dezhong Peng, Yong Xiang, Qingchuan Tao, Zhong Yuan

IEEE Signal Process. Lett., 2023

A novel outlier detection approach based on formal concept analysis.

Qian Hu, Zhong Yuan, Keyun Qin, Jun Zhang

Knowl. Based Syst., 2023

SPM-Diffusion for Temperature Prediction.

Wei Fang, Zhong Yuan, Qiongying Xue

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems.

Zhong Yuan, Hongmei Chen, Tianrui Li, Xianyong Zhang, Binbin Sang

IEEE Trans. Syst. Man Cybern. Syst., 2022

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information.

Zhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li

IEEE Trans. Fuzzy Syst., 2022

Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data.

Zhong Yuan, Hongmei Chen, Tianrui Li, Binbin Sang, Shu Wang

IEEE Trans. Cybern., 2022

Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data.

Zhong Yuan, Hongmei Chen, Tianrui Li

Pattern Recognit., 2022

Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection.

Jia Liu, Tianrui Li, Zhong Yuan, Wei Huang, Peng Xie, Qianqian Huang

Inf. Sci., 2022

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du

Inf. Fusion, 2022

Exploiting fuzzy rough mutual information for feature selection.

Zhihong Wang, Hongmei Chen, Zhong Yuan, Xiaoling Yang, Pengfei Zhang, Tianrui Li

Appl. Soft Comput., 2022

2021

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction.

Zhong Yuan, Hongmei Chen, Xiaoling Yang, Tianrui Li, Keyu Liu

Knowl. Based Syst., 2021

A novel hybrid feature selection method considering feature interaction in neighborhood rough set.

Jihong Wan, Hongmei Chen, Zhong Yuan, Tianrui Li, Xiaoling Yang, Binbin Sang

Knowl. Based Syst., 2021

Unsupervised attribute reduction for mixed data based on fuzzy rough sets.

Zhong Yuan, Hongmei Chen, Tianrui Li, Zeng Yu, Binbin Sang, Chuan Luo

Inf. Sci., 2021

Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection.

Zhong Yuan, Hongmei Chen, Tianrui Li, Jia Liu, Shu Wang

Fuzzy Sets Syst., 2021

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions.

Zhong Yuan, Hongmei Chen, Peng Xie, Pengfei Zhang, Jia Liu, Tianrui Li

Appl. Soft Comput., 2021

2019

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system.

Binbin Sang, Lei Yang, Hongmei Chen, Weihua Xu, Yanting Guo, Zhong Yuan

Int. J. Approx. Reason., 2019

2018

Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures.

Zhong Yuan, Xianyong Zhang, Shan Feng

Expert Syst. Appl., 2018

2015

A behavioral anomaly detection strategy based on time series process portraits for desktop virtualization systems.

Yanbing Liu, Zhong Yuan, Cong-Cong Xing, Bo Gong, Yunpeng Xiao, Hong Liu

Clust. Comput., 2015