Zhong Yuan - researchr alias

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Viewing Publication 1 - 60 from 60

2025

Anomaly detection based on improved k-nearest neighbor rough setsXiwen Chen, Zhong Yuan, Shan Feng. ijar, 176:109323, 2025. [doi]

Integrating granular computing with density estimation for anomaly detection in high-dimensional heterogeneous dataBaiyang Chen, Zhong Yuan, Dezhong Peng, Xiaoliang Chen, Hongmei Chen 0001, Yingke Chen. isci, 690:121566, 2025. [doi]

GBMOD: A granular-ball mean-shift outlier detectorShitong Cheng, Xinyu Su, Baiyang Chen, Hongmei Chen 0001, Dezhong Peng, Zhong Yuan. PR, 159:111115, 2025. [doi]

Feature selection for label distribution learning based on neighborhood fuzzy rough setsZhixuan Deng, Tianrui Li 0001, Pengfei Zhang, Keyu Liu, Zhong Yuan, Dayong Deng. asc, 169:112542, 2025. [doi]

TIEOD: Three-way concept-based information entropy for outlier detectionQian Hu, Jun Zhang, Jusheng Mi, Zhong Yuan, Meizheng Li. asc, 170:112642, 2025. [doi]

Detecting fuzzy-rough conditional anomaliesQian Hu, Zhong Yuan, Jusheng Mi, Jun Zhang. isci, 690:121560, 2025. [doi]

A general adaptive unsupervised feature selection with auto-weightingHuming Liao, Hongmei Chen 0001, Tengyu Yin, Zhong Yuan, Shi-Jinn Horng, Tianrui Li 0001. NN, 181:106840, 2025. [doi]

Fuzzy multi-neighborhood entropy-based interactive feature selection for unsupervised outlier detectionSiyu Yang, Zhong Yuan, Chuan Luo 0001, Hongmei Chen 0001, Dezhong Peng. asc, 169:112572, 2025. [doi]

DFNO: Detecting Fuzzy Neighborhood OutliersZhong Yuan, Peng Hu 0002, Hongmei Chen 0001, Yingke Chen, Qilin Li. tkde, 37(1):200-209, January 2025. [doi]

2024

Graph and text multi-modal representation learning with momentum distillation on Electronic Health RecordsYu Cao, Xu Wang, Qian Wang, Zhong Yuan, Yongguo Shi, Dezhong Peng. kbs, 302:112373, 2024. [doi]

Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough setsBaiyang Chen, Zhong Yuan, Dezhong Peng, Xiaoliang Chen, Hongmei Chen 0001. asc, 165:112070, 2024. [doi]

Feature selections based on two-type overlap degrees and three-view granulation measures for k-nearest-neighbor rough setsJiang Chen, Xianyong Zhang, Zhong Yuan. PR, 156:110837, 2024. [doi]

Two-dimensional improved attribute reductions based on distance granulation and condition entropy in incomplete interval-valued decision systemsBenwei Chen, Xianyong Zhang, Zhong Yuan. isci, 657:119910, February 2024. [doi]

Fusing multi-scale fuzzy information to detect outliersBaiyang Chen, Yongxiang Li, Dezhong Peng, Hongmei Chen 0001, Zhong Yuan. inffus, 103:102133, March 2024. [doi]

Integrating confidence calibration and adversarial robustness via adversarial calibration entropyYong Chen, Peng Hu 0002, Zhong Yuan, Dezhong Peng, Xu Wang 0028. isci, 668:120532, 2024. [doi]

Multi-label feature selection using self-information in divergence-based fuzzy neighborhood rough setsJiefang Jiang, Xianyong Zhang, Zhong Yuan. PR, 155:110684, 2024. [doi]

Feature selection for classification with Spearman's rank correlation coefficient-based self-information in divergence-based fuzzy rough setsJiefang Jiang, Xianyong Zhang, Zhong Yuan. eswa, 249:123633, 2024. [doi]

Unsupervised attribute reduction based on neighborhood dependencyYi Li, Benwen Zhang, Zhong Yuan, YunCheng Liu, Shenhong Lei, Xingqiang Tan. apin, 54(21):10653-10670, November 2024. [doi]

Attribute granules-based object entropy for outlier detection in nominal dataChang Liu, Dezhong Peng, Hongmei Chen 0001, Zhong Yuan. eaai, 133:108198, 2024. [doi]

MFCD:A Deep Learning Method with Fuzzy Clustering for Time Series Anomaly DetectionKaisheng Luo, Chang Liu, Baiyang Chen, Xuedong Li, Dezhong Peng, Zhong Yuan. apweb 2024: 62-77 [doi]

Fast Multi-view Subspace Clustering with Balance Anchors GuidanceYong Mi, Hongmei Chen, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li 0001. PR, 145:109895, January 2024. [doi]

Adaptive label secondary reconstruction for missing multi-label learningZhi Qin, Hongmei Chen 0001, Tengyu Yin, Zhong Yuan, Chuan Luo 0001, Shi-Jinn Horng, Tianrui Li 0001. kbs, 299:112019, 2024. [doi]

Detecting anomalies with granular-ball fuzzy rough setsXinyu Su, Zhong Yuan, Baiyang Chen, Dezhong Peng, Hongmei Chen 0001, Yingke Chen. isci, 678:121016, 2024. [doi]

Exploiting fuzzy rough entropy to detect anomaliesSihan Wang, Zhong Yuan, Chuan Luo, Hongmei Chen 0001, Dezhong Peng. ijar, 165:109087, February 2024. [doi]

Kernelized Fuzzy-Rough Anomaly DetectionYan Wu, Sihan Wang, Hongmei Chen 0001, Dezhong Peng, Zhong Yuan. tfs, 32(8):4285-4296, August 2024. [doi]

LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selectionTengyu Yin, Hongmei Chen 0001, Zhong Yuan, Binbin Sang, Shi-Jinn Horng, Tianrui Li 0001, Chuan Luo 0001. eaai, 133:108108, 2024. [doi]

Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measuresTengyu Yin, Hongmei Chen 0001, Zhihong Wang, Keyu Liu, Zhong Yuan, Shi-Jinn Horng, Tianrui Li 0001. PR, 154:110580, 2024. [doi]

Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion MeasurementXianyong Zhang, Zhong Yuan, Duoqian Miao. tkde, 36(5):2082-2095, May 2024. [doi]

Heterogeneous Feature Selection Based on Neighborhood Combination EntropyPengfei Zhang, Tianrui Li 0001, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang. tnn, 35(3):3514-3527, March 2024. [doi]

2023

Learning relationship-preserving representation for multi-task adversarial attacksYong Chen, Xu Wang 0028, Peng Hu 0002, Zhong Yuan, Dezhong Peng, Qilin Li. ijon, 554:126580, October 2023. [doi]

Heterogeneous Ensemble Feature Selection for Network Intrusion Detection SystemYeshalem Gezahegn Damtew, Hongmei Chen, Zhong Yuan. ijcisys, 16(1):9, December 2023. [doi]

SPM-Diffusion for Temperature PredictionWei Fang, Zhong Yuan, Qiongying Xue. icann 2023: 374-387 [doi]

A novel outlier detection approach based on formal concept analysisQian Hu, Zhong Yuan, Keyun Qin, Jun Zhang. kbs, 268:110486, 2023. [doi]

Statistically Dependent Blind Signal Separation Under Relaxed SparsityYongxiang Li, Dezhong Peng, Yong Xiang 0001, Qingchuan Tao, Zhong Yuan. spl, 30:598-602, 2023. [doi]

Fuzzy granular anomaly detection using Markov random walkChang Liu, Zhong Yuan, Baiyang Chen, Hongmei Chen, Dezhong Peng. isci, 646:119400, October 2023. [doi]

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation SpaceJihong Wan, Hongmei Chen, Tianrui Li 0001, Binbin Sang, Zhong Yuan. tfs, 31(1):213-225, 2023. [doi]

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty MeasuresJihong Wan, Hongmei Chen, Tianrui Li 0001, Zhong Yuan, Jia Liu, Wei Huang. tcyb, 53(2):1208-1221, 2023. [doi]

Multiscale Fuzzy Entropy-Based Feature SelectionZhihong Wang, Hongmei Chen, Zhong Yuan, Jihong Wan, Tianrui Li 0001. tfs, 31(9):3248-3262, September 2023. [doi]

Fuzzy-rough hybrid dimensionality reductionZhihong Wang, Hongmei Chen, Zhong Yuan, Tianrui Li 0001. fss, 459:95-117, May 2023. [doi]

β-precision fuzzy rough sets for multilabel fuzzy decision systemTengyu Yin, Hongmei Chen, Tianrui Li 0001, Zhong Yuan, Chuan Luo. fss, 461:108462, June 2023. [doi]

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature InteractionTengyu Yin, Hongmei Chen 0001, Zhong Yuan, Jihong Wan, Keyu Liu, Shi-Jinn Horng, Tianrui Li 0001. tfs, 31(12):4516-4528, December 2023. [doi]

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selectionTengyu Yin, Hongmei Chen, Zhong Yuan, Tianrui Li 0001, Keyu Liu. isci, 621:200-226, April 2023. [doi]

MFGAD: Multi-fuzzy granules anomaly detectionZhong Yuan, Hongmei Chen, Chuan Luo, Dezhong Peng. inffus, 95:17-25, July 2023. [doi]

Anomaly detection based on weighted fuzzy-rough densityZhong Yuan, Baiyang Chen, Jia Liu, Hongmei Chen, Dezhong Peng, Peilin Li. asc, 134:109995, February 2023. [doi]

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality MeasuresPengfei Zhang, Tianrui Li 0001, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang. tfs, 31(9):2975-2988, September 2023. [doi]

2022

Symbolic aggregate approximation based data fusion model for dangerous driving behavior detectionJia Liu, Tianrui Li 0001, Zhong Yuan, Wei Huang, Peng Xie, Qianqian Huang. isci, 609:626-643, 2022. [doi]

Exploiting fuzzy rough mutual information for feature selectionZhihong Wang, Hongmei Chen, Zhong Yuan, Xiaoling Yang, Pengfei Zhang, Tianrui Li 0001. asc, 131:109769, 2022. [doi]

Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute DataZhong Yuan, Hongmei Chen, Tianrui Li 0001, Binbin Sang, Shu Wang. tcyb, 52(8):8399-8412, 2022. [doi]

Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood SystemsZhong Yuan, Hongmei Chen, Tianrui Li 0001, Xianyong Zhang, Binbin Sang. tsmc, 52(8):5175-5187, 2022. [doi]

Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed dataZhong Yuan, Hongmei Chen, Tianrui Li 0001. PR, 127:108651, 2022. [doi]

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual InformationZhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li 0001. tfs, 30(9):3395-3409, 2022. [doi]

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous dataPengfei Zhang, Tianrui Li 0001, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du. inffus, 80:87-103, 2022. [doi]

2021

A novel hybrid feature selection method considering feature interaction in neighborhood rough setJihong Wan, Hongmei Chen, Zhong Yuan, Tianrui Li 0001, Xiaoling Yang, Binbin Sang. kbs, 227:107167, 2021. [doi]

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reductionZhong Yuan, Hongmei Chen, Xiaoling Yang, Tianrui Li 0001, Keyu Liu. kbs, 231:107398, 2021. [doi]

Unsupervised attribute reduction for mixed data based on fuzzy rough setsZhong Yuan, Hongmei Chen, Tianrui Li 0001, Zeng Yu, Binbin Sang, Chuan Luo. isci, 572:67-87, 2021. [doi]

Fuzzy information entropy-based adaptive approach for hybrid feature outlier detectionZhong Yuan, Hongmei Chen, Tianrui Li 0001, Jia Liu, Shu Wang. fss, 421:1-28, 2021. [doi]

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directionsZhong Yuan, Hongmei Chen, Peng Xie, Pengfei Zhang, Jia Liu, Tianrui Li. asc, 107:107353, 2021. [doi]

2019

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information systemBinbin Sang, Lei Yang, Hongmei Chen, Weihua Xu, Yanting Guo, Zhong Yuan. ijar, 115:157-179, 2019. [doi]

2018

Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measuresZhong Yuan, Xianyong Zhang, Shan Feng. eswa, 112:243-257, 2018. [doi]

2015

A behavioral anomaly detection strategy based on time series process portraits for desktop virtualization systemsYanbing Liu, Zhong Yuan, Congcong Xing, Bo Gong, Yunpeng Xiao, Hong Liu. cluster, 18(2):979-988, 2015. [doi]

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