Outlier Detection Based on Granular Computing. - Yumin Chen 002; Duoqian Miao 001; Ruizhi Wang (RSCTC, 2008)

Neighborhood outlier detection. - Yumin Chen 002; Duoqian Miao 001; Hongyun Zhang (Expert Syst. Appl., 2010)

A rough set approach to feature selection based on ant colony optimization. - Yumin Chen 002; Duoqian Miao 001; Ruizhi Wang (Pattern Recognit. Lett., 2010)

A rough set approach to feature selection based on power set tree. - Yumin Chen 002; Duoqian Miao 001; Ruizhi Wang; Keshou Wu (Knowl. Based Syst., 2011)

An entropy-based uncertainty measurement approach in neighborhood systems. - Yumin Chen 002; Keshou Wu; Xuhui Chen; Chaohui Tang; Qingxin Zhu (Inf. Sci., 2014)

Outlier detection based on granular computing and rough set theory. - Feng Jiang; Yumin Chen 002 (Appl. Intell., 2015)

A binary granule representation for uncertainty measures in rough set theory. - Yumin Chen 002; Qingxin Zhu; Keshou Wu; Shunzhi Zhu; Zhiqiang Zeng (J. Intell. Fuzzy Syst., 2015)

Finding rough set reducts with fish swarm algorithm. - Yumin Chen 002; Qingxin Zhu; Huarong Xu (Knowl. Based Syst., 2015)

Three-way decision reduction in neighborhood systems. - Yumin Chen 002; Zhiqiang Zeng; Qingxin Zhu; Chaohui Tang (Appl. Soft Comput., 2016)

Kernel CCA Based Transfer Learning for Software Defect Prediction. - Ying Ma; Shunzhi Zhu; Yumin Chen 002; Jingjing Li 001 (IEICE Trans. Inf. Syst., 2017)

Gene selection for tumor classification using neighborhood rough sets and entropy measures. - Yumin Chen 002; Zunjun Zhang; Jianzhong Zheng; Ying Ma; Yu Xue 003 (J. Biomed. Informatics, 2017)

Measures of uncertainty for neighborhood rough sets. - Yumin Chen 002; Yu Xue 003; Ying Ma; Feifei Xu (Knowl. Based Syst., 2017)

Neighborhood rough set reduction with fish swarm algorithm. - Yumin Chen 002; Zhiqiang Zeng; Junwen Lu (Soft Comput., 2017)

A granulated fuzzy rough set and its measures. - Yumin Chen 002; Ying Zhuang; Shunzhi Zhu; Wei Li 069; Chaohui Tang (J. Intell. Fuzzy Syst., 2018)

Combating the class imbalance problemin sparse representation learning. - Ying Ma; Xiatian Zhu; Shunzhi Zhu; Keshou Wu; Yumin Chen 002 (J. Intell. Fuzzy Syst., 2018)

Feature selection for blind image steganalysis using neighborhood rough sets. - Yingyue Chen; Yumin Chen 002; Aimin Yin (J. Intell. Fuzzy Syst., 2019)

Granule structures, distances and measures in neighborhood systems. - Yumin Chen 002; Nan Qin; Wei Li 069; Feifei Xu (Knowl. Based Syst., 2019)

Fuzzy Granule Manifold Alignment Preserving Local Topology. - Wei Li 069; Jianwu Xue; Yumin Chen 002; Xue-Bai Zhang; Chao Tang 002; Qiang Zhang; Yifang Gao (IEEE Access, 2020)

Granule Vectors and Granular Convolutional Classifiers. - Yumin Chen 002; Xiao Zhang 031; Wei Li 069; Shunzhi Zhu (IEEE Access, 2020)

Using Granule to Search Privacy Preserving Voice in Home IoT Systems. - Wei Li 069; Yumin Chen 002; Huosheng Hu; Chao Tang 002 (IEEE Access, 2020)

Fuzzy Granular Hyperplane Classifiers. - Wei Li 069; Zhongnan Wei; Yumin Chen 002; Chao Tang 002; Yuping Song (IEEE Access, 2020)

Random Fuzzy Clustering Granular Hyperplane Classifier. - Wei Li 069; Kaiqiang Zhang; Yumin Chen 002; Chao Tang 002; Xiaoyu Ma; Youmeng Luo (IEEE Access, 2020)

Granular regression with a gradient descent method. - Yumin Chen 002; Duoqian Miao 001 (Inf. Sci., 2020)

Boosted K-nearest neighbor classifiers based on fuzzy granules. - Wei Li 069; Yumin Chen 002; Yuping Song (Knowl. Based Syst., 2020)

A fuzzy granular sparse learning model for identifying antigenic variants of influenza viruses. - Yumin Chen 002; Zhiwen Cai; Lei Shi 028; Wei Li 069 (Appl. Soft Comput., 2021)

Feature Subset Selection Based on Variable Precision Neighborhood Rough Sets. - Yingyue Chen; Yumin Chen 002 (Int. J. Comput. Intell. Syst., 2021)

A neural network boosting regression model based on XGBoost. - Jianwei Dong; Yumin Chen 002; Bingyu Yao; Xiao Zhang 031; Nianfeng Zeng (Appl. Soft Comput., 2022)

Fuzzy granular convolutional classifiers. - Yumin Chen 002; Shunzhi Zhu; Wei Li 069; Nan Qin (Fuzzy Sets Syst., 2022)

An LVQ clustering algorithm based on neighborhood granules. - Hailiang Jiang; Yumin Chen 002; Liru Kong; Guoqiang Cai; Hongbo Jiang (J. Intell. Fuzzy Syst., 2022)

Fuzzy granular deep convolutional network with residual structures. - Linjie He; Yumin Chen 002; Keshou Wu (Knowl. Based Syst., 2022)

BGRF: A broad granular random forest algorithm. - Xingyu Fu; Yingyue Chen; Jingru Yan; Yumin Chen 002; Feng Xu (J. Intell. Fuzzy Syst., 2023)

An intrusion detection method based on granular autoencoders. - Sihong Lin; Kunbin Zhang; Dun Guan; Linjie He; Yumin Chen 002 (J. Intell. Fuzzy Syst., 2023)

Granular neural networks with a reference frame. - Yumin Chen 002; Xiao Zhang 031; Ying Zhuang; Bingyu Yao; Bin Lin (Knowl. Based Syst., 2023)

Information block multi-head subspace based long short-term memory networks for sentiment analysis. - Xiao Zhang 031; Yumin Chen 002; Linjie He (Appl. Intell., 2023)

Boosted stochastic fuzzy granular hypersurface classifier. - Wei Li 069; Huosheng Hu; Yumin Chen 002; Yuping Song (Knowl. Based Syst., 2024)

GTransformer: Multi-view functional granulation and self-attention for tabular data modeling. - Liang Liao; Yumin Chen 002; Yingyue Chen; Yiting Lin (Int. J. Approx. Reason., 2025)

A granular XGBoost classification algorithm. - Biyun Lan; Yumin Chen 002; Keshou Wu (Appl. Intell., 2025)