An incremental updating principle for computing approximations in information systems while the object set varies with time. - Hongmei Chen 001; Tianrui Li 001; Chengxiang Hu; Xiaolan Ji (GrC, 2009)

Research on the approach of dynamically maintenance of approximations in rough set theory while attribute values coarsening and refining. - Hongmei Chen 001; Tianrui Li 001; Weibin Liu; Weili Zou (GrC, 2009)

Approaches for incrementally updating approximations based on set-valued information systems while attribute values' coarsening and refining. - Weili Zou; Tianrui Li 001; Hongmei Chen 001; Xiaolan Ji (GrC, 2009)

A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time. - Hongmei Chen 001; Tianrui Li 001; Junbo Zhang (GrC, 2010)

A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems. - Hongmei Chen 001; Tianrui Li 001; Junbo Zhang (GrC, 2010)

A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values. - Hongmei Chen 001; Tianrui Li 001; Shaojie Qiao; Da Ruan 001 (Int. J. Intell. Syst., 2010)

Composite Rough Sets. - Junbo Zhang; Tianrui Li 001; Hongmei Chen 001 (AICI, 2012)

Dynamic maintenance strategy for approximations in set-valued ordered information systems under the attribute generalization. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Dun Liu (GrC, 2012)

An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Dun Liu (RSCTC, 2012)

A new blockmodeling based hierarchical clustering algorithm for web social networks. - Shaojie Qiao; Tianrui Li 001; Hong Li; Jing Peng; Hongmei Chen 001 (Eng. Appl. Artif. Intell., 2012)

Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining. - Hongmei Chen 001; Tianrui Li 001; Da Ruan 001 (Knowl. Based Syst., 2012)

Dynamic Maintenance of Approximations Under a Rough-set Based Variable Precision Limited Tolerance Relation. - Hongmei Chen 001; Tianrui Li 001; Da Ruan 001 (J. Multiple Valued Log. Soft Comput., 2012)

An approach for incremental maintenance of approximations in set-valued ordered decision systems while updating criteria values. - Chuan Luo 001; Lixia Lu; Tianrui Li 001; Anping Zeng; Hongmei Chen 001 (IFSA/NAFIPS, 2013)

Incremental approaches for updating approximations in set-valued ordered information systems. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Dun Liu (Knowl. Based Syst., 2013)

A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments. - Hongmei Chen 001; Tianrui Li 001; Da Ruan 001; Jianhui Lin; Chengxiang Hu (IEEE Trans. Knowl. Data Eng., 2013)

Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time. - Hongmei Chen 001; Tianrui Li 001; Hongmei Tian (Rough Sets and Intelligent Systems (1), 2013)

Dynamic Maintenance of Three-Way Decision Rules. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001 (RSKT, 2014)

Preface. - Tianrui Li 001; Hongmei Chen 001; Jingtao Yao 001; Hung Son Nguyen (Fundam. Informaticae, 2014)

Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set. - Anping Zeng; Tianrui Li 001; Junbo Zhang; Hongmei Chen 001 (Fundam. Informaticae, 2014)

Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001 (Inf. Sci., 2014)

Composite rough sets for dynamic data mining. - Junbo Zhang; Tianrui Li 001; Hongmei Chen 001 (Inf. Sci., 2014)

A Rough Set-Based Method for Updating Decision Rules on Attribute Values' Coarsening and Refining. - Hongmei Chen 001; Tianrui Li 001; Chuan Luo 001; Shi-Jinn Horng; Guoyin Wang 001 (IEEE Trans. Knowl. Data Eng., 2014)

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction. - Hongmei Chen 001; Tianrui Li 001; Chuan Luo 001; Jie Hu 007 (RSKT, 2015)

PICKT: A Solution for Big Data Analysis. - Tianrui Li 001; Chuan Luo 001; Hongmei Chen 001; Junbo Zhang (RSKT, 2015)

Incremental Updating Rough Approximations in Interval-valued Information Systems. - Yingying Zhang; Tianrui Li 001; Chuan Luo 001; Hongmei Chen 001 (RSKT, 2015)

A fuzzy rough set approach for incremental feature selection on hybrid information systems. - Anping Zeng; Tianrui Li 001; Dun Liu; Junbo Zhang; Hongmei Chen 001 (Fuzzy Sets Syst., 2015)

An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes. - Jie Hu 007; Tianrui Li 001; Hongmei Chen 001; Anping Zeng (Int. J. Intell. Syst., 2015)

Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Lixia Lu (Inf. Sci., 2015)

Parallel computing of approximations in dominance-based rough sets approach. - Shaoyong Li; Tianrui Li 001; Zhixue Zhang; Hongmei Chen 001; Junbo Zhang (Knowl. Based Syst., 2015)

A Decision-Theoretic Rough Set Approach for Dynamic Data Mining. - Hongmei Chen 001; Tianrui Li 001; Chuan Luo 001; Shi-Jinn Horng; Guoyin Wang 001 (IEEE Trans. Fuzzy Syst., 2015)

Parallel attribute reduction in dominance-based neighborhood rough set. - Hongmei Chen 001; Tianrui Li 001; Yong Cai; Chuan Luo 001; Hamido Fujita (Inf. Sci., 2016)

Incremental updating of rough approximations in interval-valued information systems under attribute generalization. - Yingying Zhang; Tianrui Li 001; Chuan Luo 001; Junbo Zhang; Hongmei Chen 001 (Inf. Sci., 2016)

Efficient updating of probabilistic approximations with incremental objects. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Hamido Fujita; Zhang Yi 001 (Knowl. Based Syst., 2016)

A Group Incremental Reduction Algorithm with Varying Data Values. - Yunge Jing; Tianrui Li 001; Junfu Huang; Hongmei Chen 001; Shi-Jinn Horng (Int. J. Intell. Syst., 2017)

A unified framework of dynamic three-way probabilistic rough sets. - Xin Yang 012; Tianrui Li 001; Dun Liu; Hongmei Chen 001; Chuan Luo 001 (Inf. Sci., 2017)

Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values. - Anping Zeng; Tianrui Li 001; Jie Hu 007; Hongmei Chen 001; Chuan Luo 001 (Inf. Sci., 2017)

Incremental rough set approach for hierarchical multicriteria classification. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Hamido Fujita; Zhang Yi 001 (Inf. Sci., 2018)

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system. - Binbin Sang; Lei Yang; Hongmei Chen 001; Weihua Xu 003; Yanting Guo; Zhong Yuan (Int. J. Approx. Reason., 2019)

Feature selection for imbalanced data based on neighborhood rough sets. - Hongmei Chen 001; Tianrui Li 001; Xin Fan; Chuan Luo 001 (Inf. Sci., 2019)

Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems. - Shu Wang; Tianrui Li 001; Chuan Luo 001; Hongmei Chen 001; Hamido Fujita (Inf. Sci., 2019)

Reconstruction of Hidden Representation for Robust Feature Extraction. - Zeng Yu 001; Tianrui Li 001; Ning Yu 004; Yi Pan 001; Hongmei Chen 001; Bing Liu 001 (ACM Trans. Intell. Syst. Technol., 2019)

A novel community detection method based on whale optimization algorithm with evolutionary population. - Yunfei Feng; Hongmei Chen 001; Tianrui Li 001; Chuan Luo 001 (Appl. Intell., 2020)

A novel quantum grasshopper optimization algorithm for feature selection. - Dong Wang; Hongmei Chen 001; Tianrui Li 001; Jihong Wan; Yanyong Huang (Int. J. Approx. Reason., 2020)

Incremental approaches for heterogeneous feature selection in dynamic ordered data. - Binbin Sang; Hongmei Chen 001; Tianrui Li 001; Weihua Xu 003; Hong Yu 007 (Inf. Sci., 2020)

An Overlapping Community Detection Algorithm based on Density Peaks and Label Propagation. - Chuanwei Li; Hongmei Chen 001; Tianrui Li 001 (ISKE, 2021)

Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy. - Xinping Wu; Hongmei Chen 001; Tianrui Li 001; Hao Chen; Chuan Luo 001 (ISKE, 2021)

Hierarchical Feature Selection via Large Margin Nearest Neighbor. - Jian Zheng; Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001 (ISKE, 2021)

Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data. - Qian Cao; Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001 (IJCRS, 2021)

Semi-supervised feature selection with minimal redundancy based on local adaptive. - Xinping Wu; Hongmei Chen 001; Tianrui Li 001; Jihong Wan (Appl. Intell., 2021)

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions. - Zhong Yuan; Hongmei Chen 001; Peng Xie 002; Pengfei Zhang 016; Jia Liu 033; Tianrui Li 001 (Appl. Soft Comput., 2021)

Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection. - Zhong Yuan; Hongmei Chen 001; Tianrui Li 001; Jia Liu 033; Shu Wang (Fuzzy Sets Syst., 2021)

Multi-source information fusion based on rough set theory: A review. - Pengfei Zhang 016; Tianrui Li 001; Guoqiang Wang; Chuan Luo 001; Hongmei Chen 001; Junbo Zhang; Dexian Wang 001; Zeng Yu 001 (Inf. Fusion, 2021)

Dynamic interaction feature selection based on fuzzy rough set. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Xiaoling Yang; Binbin Sang (Inf. Sci., 2021)

Double-local rough sets for efficient data mining. - Guoqiang Wang; Tianrui Li 001; Pengfei Zhang 016; Qianqian Huang; Hongmei Chen 001 (Inf. Sci., 2021)

Unsupervised attribute reduction for mixed data based on fuzzy rough sets. - Zhong Yuan; Hongmei Chen 001; Tianrui Li 001; Zeng Yu 001; Binbin Sang; Chuan Luo 001 (Inf. Sci., 2021)

Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set. - Binbin Sang; Hongmei Chen 001; Lei Yang; Tianrui Li 001; Weihua Xu 003; Chuan Luo 001 (Knowl. Based Syst., 2021)

Incremental attribute reduction approaches for ordered data with time-evolving objects. - Binbin Sang; Hongmei Chen 001; Lei Yang; Dapeng Zhou; Tianrui Li 001; Weihua Xu 003 (Knowl. Based Syst., 2021)

A novel hybrid feature selection method considering feature interaction in neighborhood rough set. - Jihong Wan; Hongmei Chen 001; Zhong Yuan; Tianrui Li 001; Xiaoling Yang; Binbin Sang (Knowl. Based Syst., 2021)

Neighborhood rough sets with distance metric learning for feature selection. - Xiaoling Yang; Hongmei Chen 001; Tianrui Li 001; Jihong Wan; Binbin Sang (Knowl. Based Syst., 2021)

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction. - Zhong Yuan; Hongmei Chen 001; Xiaoling Yang; Tianrui Li 001; Keyu Liu (Knowl. Based Syst., 2021)

Feature selection via minimizing global redundancy for imbalanced data. - Shuhao Huang; Hongmei Chen 001; Tianrui Li 001; Hao Chen; Chuan Luo 001 (Appl. Intell., 2022)

A stable community detection approach for complex network based on density peak clustering and label propagation. - Chuanwei Li; Hongmei Chen 001; Tianrui Li 001; Xiaoling Yang (Appl. Intell., 2022)

Multi-label feature selection based on manifold regularization and imbalance ratio. - Haohan Lu; Hongmei Chen 001; Tianrui Li 001; Hao Chen; Chuan Luo 001 (Appl. Intell., 2022)

Exploiting fuzzy rough mutual information for feature selection. - Zhihong Wang; Hongmei Chen 001; Zhong Yuan; Xiaoling Yang; Pengfei Zhang 016; Tianrui Li 001 (Appl. Soft Comput., 2022)

Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection. - Hao Chen; Hongmei Chen 001; Weiyi Li; Tianrui Li 001; Chuan Luo 001; Jihong Wan (Neurocomputing, 2022)

Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization. - Congying Zeng; Hongmei Chen 001; Tianrui Li 001; Jihong Wan (Neurocomputing, 2022)

A novel hierarchical feature selection method based on large margin nearest neighbor learning. - Jian Zheng; Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001 (Neurocomputing, 2022)

Adaptive graph learning for semi-supervised feature selection with redundancy minimization. - Jingliu Lai; Hongmei Chen 001; Tianrui Li 001; Xiaoling Yang (Inf. Sci., 2022)

Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving. - Chuan Luo 001; Jian Zheng; Tianrui Li 001; Hongmei Chen 001; Yanyong Huang; Xi Peng (Inf. Sci., 2022)

Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection. - Xiaoling Yang; Hongmei Chen 001; Tianrui Li 001; Pengfei Zhang 016; Chuan Luo 001 (Inf. Sci., 2022)

Semi-supervised feature selection via adaptive structure learning and constrained graph learning. - Jingliu Lai; Hongmei Chen 001; Weiyi Li; Tianrui Li 001; Jihong Wan (Knowl. Based Syst., 2022)

Unsupervised feature selection via self-paced learning and low-redundant regularization. - Weiyi Li; Hongmei Chen 001; Tianrui Li 001; Jihong Wan; Binbin Sang (Knowl. Based Syst., 2022)

Fusing entropy measures for dynamic feature selection in incomplete approximation spaces. - Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Jiancheng Lv 001; Zhang Yi 001 (Knowl. Based Syst., 2022)

Novel fuzzy rank discrimination measures for monotonic ordinal feature selection. - Chuan Luo 001; Hong Pi; Tianrui Li 001; Hongmei Chen 001; Yanyong Huang (Knowl. Based Syst., 2022)

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification. - Binbin Sang; Hongmei Chen 001; Jihong Wan; Lei Yang; Tianrui Li 001; Weihua Xu 003; Chuan Luo 001 (Knowl. Based Syst., 2022)

A noise-aware fuzzy rough set approach for feature selection. - Xiaoling Yang; Hongmei Chen 001; Tianrui Li 001; Chuan Luo 001 (Knowl. Based Syst., 2022)

Consistency regularization for deep semi-supervised clustering with pairwise constraints. - Dan Huang; Jie Hu 007; Tianrui Li 001; Shengdong Du; Hongmei Chen 001 (Int. J. Mach. Learn. Cybern., 2022)

R2CI: Information theoretic-guided feature selection with multiple correlations. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Wei Huang 037; Min Li; Chuan Luo 001 (Pattern Recognit., 2022)

Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data. - Zhong Yuan; Hongmei Chen 001; Tianrui Li 001 (Pattern Recognit., 2022)

Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data. - Zhong Yuan; Hongmei Chen 001; Tianrui Li 001; Binbin Sang; Shu Wang (IEEE Trans. Cybern., 2022)

Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets. - Binbin Sang; Hongmei Chen 001; Lei Yang; Tianrui Li 001; Weihua Xu 003 (IEEE Trans. Fuzzy Syst., 2022)

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification. - Binbin Sang; Hongmei Chen 001; Lei Yang; Jihong Wan; Tianrui Li 001; Weihua Xu 003 (IEEE Trans. Fuzzy Syst., 2022)

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information. - Zhong Yuan; Hongmei Chen 001; Pengfei Zhang 016; Jihong Wan; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2022)

Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems. - Zhong Yuan; Hongmei Chen 001; Tianrui Li 001; Xianyong Zhang; Binbin Sang (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Novel Online Multi-label Feature Selection Approach for Multi-dimensional Streaming Data. - Zhanyun Zhang; Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Dun Liu (CICAI (2), 2023)

A robust graph based multi-label feature selection considering feature-label dependency. - Yunfei Liu; Hongmei Chen 001; Tianrui Li 001; Weiyi Li (Appl. Intell., 2023)

MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark. - Chuan Luo 001; Qian Cao; Tianrui Li 001; Hongmei Chen 001; Sizhao Wang (Expert Syst. Appl., 2023)

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Zhong Yuan; Jia Liu 033; Wei Huang 037 (IEEE Trans. Cybern., 2023)

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Binbin Sang; Zhong Yuan (IEEE Trans. Fuzzy Syst., 2023)

LAWNet: A Lightweight Attention-Based Deep Learning Model for Wrist Vein Verification in Smartphones Using RGB Images. - Thi-Van Nguyen; Shi-Jinn Horng; Dinh-Trung Vu; Hongmei Chen 001; Tianrui Li 001 (IEEE Trans. Instrum. Meas., 2023)

Anomaly detection based on weighted fuzzy-rough density. - Zhong Yuan; Baiyang Chen; Jia Liu 033; Hongmei Chen 001; Dezhong Peng; Peilin Li (Appl. Soft Comput., 2023)

A Method of Sharing Sentence Vectors for Opinion Triplet Extraction. - Wenwen Liu; Jie Hu 007; Shengdong Du; Hongmei Chen 001; Fei Teng 001 (Neural Process. Lett., 2023)

Spark Rough Hypercuboid Approach for Scalable Feature Selection. - Chuan Luo 001; Sizhao Wang; Tianrui Li 001; Hongmei Chen 001; Jiancheng Lv 001; Zhang Yi 001 (IEEE Trans. Knowl. Data Eng., 2023)

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Tianrui Li 001; Keyu Liu (Inf. Sci., 2023)

Semi-supervised feature selection based on pairwise constraint-guided dual space latent representation learning and double sparse graphs discriminant. - Hao Chen; Hongmei Chen 001; Weiyi Li; Tianrui Li 001 (Appl. Intell., 2023)

Multi-view latent structure learning with rank recovery. - Jun He; Hongmei Chen 001; Tianrui Li 001; Jihong Wan (Appl. Intell., 2023)

Fuzzy-rough hybrid dimensionality reduction. - Zhihong Wang; Hongmei Chen 001; Zhong Yuan; Tianrui Li 001 (Fuzzy Sets Syst., 2023)

Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data. - Xiaoling Yang; Hongmei Chen 001; Hao Wang 068; Tianrui Li 001; Zeng Yu 001; Zhihong Wang; Chuan Luo 001 (IEEE Trans. Fuzzy Syst., 2023)

Robust feature selection using label enhancement and β-precision fuzzy rough sets for multilabel fuzzy decision system. - Tengyu Yin; Hongmei Chen 001; Tianrui Li 001; Zhong Yuan; Chuan Luo 001 (Fuzzy Sets Syst., 2023)

RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection. - Chuan Luo 001; Sizhao Wang; Tianrui Li 001; Hongmei Chen 001; Jiancheng Lv 001; Zhang Yi 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Robust multi-label feature selection with shared coupled and dynamic graph regularization. - Lingzhi Wang; Hongmei Chen 001; Bo Peng 006; Tianrui Li 001; Tengyu Yin (Appl. Intell., 2023)

MFGAD: Multi-fuzzy granules anomaly detection. - Zhong Yuan; Hongmei Chen 001; Chuan Luo 001; Dezhong Peng (Inf. Fusion, 2023)

Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning. - Weiyi Li; Hongmei Chen 001; Tianrui Li 001; Tengyu Yin; Chuan Luo 001 (Int. J. Mach. Learn. Cybern., 2023)

Multiscale Fuzzy Entropy-Based Feature Selection. - Zhihong Wang; Hongmei Chen 001; Zhong Yuan; Jihong Wan; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Robust multi-view clustering in latent low-rank space with discrepancy induction. - Bo Xiong; Hongmei Chen 001; Tianrui Li 001; Xiaoling Yang (Appl. Intell., 2023)

Fuzzy granular anomaly detection using Markov random walk. - Chang Liu 088; Zhong Yuan; Baiyang Chen; Hongmei Chen 001; Dezhong Peng (Inf. Sci., 2023)

Fuzzy rough dimensionality reduction: A feature set partition-based approach. - Zhihong Wang; Hongmei Chen 001; Xiaoling Yang; Jihong Wan; Tianrui Li 001; Chuan Luo 001 (Inf. Sci., 2023)

Dynamic graph-based attribute reduction approach with fuzzy rough sets. - Lei Ma; Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001; Dun Liu (Int. J. Mach. Learn. Cybern., 2023)

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hongmei Chen 001; Jie Wang 152; Zhixuan Deng (IEEE Trans. Fuzzy Syst., 2023)

Fuzzy rough feature selection using a robust non-linear vague quantifier for ordinal classification. - Binbin Sang; Lei Yang; Hongmei Chen 001; Weihua Xu 003; Xiaoyan Zhang 003 (Expert Syst. Appl., 2023)

Multi-label feature selection based on stable label relevance and label-specific features. - Yong Yang; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Inf. Sci., 2023)

High-order interaction feature selection for classification learning: A robust knowledge metric perspective. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Min Li; Xiaoling Yang (Pattern Recognit., 2023)

Active Antinoise Fuzzy Dominance Rough Feature Selection Using Adaptive K-Nearest Neighbors. - Binbin Sang; Weihua Xu 003; Hongmei Chen 001; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Fast attribute reduction via inconsistent equivalence classes for large-scale data. - Guoqiang Wang; Pengfei Zhang 016; Dexian Wang 001; Hongmei Chen 001; Tianrui Li 001 (Int. J. Approx. Reason., 2023)

Heterogeneous Ensemble Feature Selection for Network Intrusion Detection System. - Yeshalem Gezahegn Damtew; Hongmei Chen 001; Zhong Yuan (Int. J. Comput. Intell. Syst., 2023)

Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection. - Mengshi Huang; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2023)

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Jihong Wan; Keyu Liu; Shi-Jinn Horng; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach. - Chuan Luo 001; Sizhao Wang; Tianrui Li 001; Hongmei Chen 001; Jiancheng Lv 001; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-Correlation Collaborative Computation for Featrue Selection with Uncertainty Measures. - Jihong Wan; Xiaoping Li 001; Hongmei Chen 001 (ACM TUR-C, 2024)

Incomplete Multi-view Clustering Based on Joint Concept Decomposition and Anchor Graph Learning. - Zhuowen Li; Hongmei Chen 001; Biao Xiang; Zhong Yuan; Chuan Luo 001; Tianrui Li 001 (IJCRS (2), 2024)

Cross-View Fuzziness and Intra-view Uncertainty-Based Weight Reconstruction for Multi-view Feature Selection. - Biao Xiang; Hongmei Chen 001; Yong Mi; Binbin Sang; Shi-Jinn Horng; Tianrui Li 001 (IJCRS (2), 2024)

Attribute Reduction Method of Fuzzy Rough Sets Based on Improved Overlap Degree. - Linlin Xie; Chuan Luo 001; Tianrui Li 001; Hongmei Chen 001 (IJCRS (1), 2024)

Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets. - Baiyang Chen; Zhong Yuan; Dezhong Peng; Xiaoliang Chen; Hongmei Chen 001 (Appl. Soft Comput., 2024)

Attribute granules-based object entropy for outlier detection in nominal data. - Chang Liu 088; Dezhong Peng; Hongmei Chen 001; Zhong Yuan (Eng. Appl. Artif. Intell., 2024)

LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Binbin Sang; Shi-Jinn Horng; Tianrui Li 001; Chuan Luo 001 (Eng. Appl. Artif. Intell., 2024)

Feature-guided multi-view clustering by jointing local subspace label learning and global label learning. - Ronggang Cai; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Expert Syst. Appl., 2024)

Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration. - Yong Yang; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Expert Syst. Appl., 2024)

Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer's disease. - Yu Luo; Hongmei Chen 001; Tengyu Yin; Shi-Jinn Horng; Tianrui Li 001 (Inf. Fusion, 2024)

Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning. - Huming Liao; Hongmei Chen 001; Tengyu Yin; Shi-Jinn Horng; Tianrui Li 001 (Inf. Process. Manag., 2024)

Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA. - Duanzhang Li; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Inf. Sci., 2024)

Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness. - Huming Liao; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Inf. Sci., 2024)

Detecting anomalies with granular-ball fuzzy rough sets. - Xinyu Su; Zhong Yuan; Baiyang Chen; Dezhong Peng; Hongmei Chen 001; Yingke Chen (Inf. Sci., 2024)

Unsupervised feature selection with high-order similarity learning. - Yong Mi; Hongmei Chen 001; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2024)

Multi-label Feature selection with adaptive graph learning and label information enhancement. - Zhi Qin; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2024)

Adaptive label secondary reconstruction for missing multi-label learning. - Zhi Qin; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2024)

Unsupervised feature selection based on bipartite graph and low-redundant regularization. - Longyan Xiang; Hongmei Chen 001; Tengyu Yin; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2024)

Multi-view clustering via pseudo-label guide learning and latent graph structure recovery. - Ronggang Cai; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2024)

Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection. - Duanzhang Li; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2024)

Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures. - Tengyu Yin; Hongmei Chen 001; Zhihong Wang; Keyu Liu; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2024)

Joint subspace reconstruction and label correlation for multi-label feature selection. - Zelong Wang; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Appl. Intell., 2024)

Fast Multi-view Subspace Clustering with Balance Anchors Guidance. - Yong Mi; Hongmei Chen 001; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2024)

Exploiting fuzzy rough entropy to detect anomalies. - Sihan Wang; Zhong Yuan; Chuan Luo 001; Hongmei Chen 001; Dezhong Peng (Int. J. Approx. Reason., 2024)

Fusing multi-scale fuzzy information to detect outliers. - Baiyang Chen; Yongxiang Li; Dezhong Peng; Hongmei Chen 001; Zhong Yuan (Inf. Fusion, 2024)

Geodesic Fuzzy Rough Sets for Discriminant Feature Extraction. - Xiaoling Yang; Hongmei Chen 001; Tianrui Li 001; Yiyu Yao (IEEE Trans. Fuzzy Syst., 2024)

Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space. - Tengyu Yin; Hongmei Chen 001; Jihong Wan; Pengfei Zhang 016; Shi-Jinn Horng; Tianrui Li 001 (Inf. Fusion, 2024)

Kernelized Fuzzy-Rough Anomaly Detection. - Yan Wu; Sihan Wang; Hongmei Chen 001; Dezhong Peng; Zhong Yuan (IEEE Trans. Fuzzy Syst., 2024)

Fusing multi-granular-ball fuzzy information to detect outliers. - Xinyu Su; Shitong Cheng; Dezhong Peng; Hongmei Chen 001; Zhong Yuan (Appl. Soft Comput., 2025)

Fuzzy multi-neighborhood entropy-based interactive feature selection for unsupervised outlier detection. - Siyu Yang; Zhong Yuan; Chuan Luo 001; Hongmei Chen 001; Dezhong Peng (Appl. Soft Comput., 2025)

One-pass multi-view clustering based on adaptive multiple projection regression and graph learning. - Yongxin Duan; Hongmei Chen 001; Biao Xiang; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Expert Syst. Appl., 2025)

Nonnegative graph embedding induced unsupervised feature selection. - Yong Mi; Hongmei Chen 001; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Expert Syst. Appl., 2025)

Graph diffusion with dual-distance metrics for missing multi-label feature selection. - Zhi Qin; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Expert Syst. Appl., 2025)

Adversarial Transfer Learning-Based Hybrid Recurrent Network for Air Quality Prediction. - Yanqi Hao; Chuan Luo 001; Tianrui Li 001; Junbo Zhang; Hongmei Chen 001 (Int. J. Intell. Syst., 2025)

Joint subspace learning and subspace clustering based unsupervised feature selection. - Zijian Xiao; Hongmei Chen 001; Yong Mi; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Neurocomputing, 2025)

VCOS: Multi-scale information fusion to feature selection using fuzzy rough combination entropy. - Binbin Sang; Lei Yang; Wei-Hua Xu 003; Hongmei Chen 001; Tianrui Li 001; Wentao Li 004 (Inf. Fusion, 2025)

FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. - Jihong Wan; Xiaoping Li 001; Pengfei Zhang 016; Hongmei Chen 001; Xiaocao Ouyang; Tianrui Li 001; Kay Chen Tan (Inf. Fusion, 2025)

Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning. - Ronggang Cai; Hongmei Chen 001; Yong Mi; Tianrui Li 001; Chuan Luo 001; Shi-Jinn Horng (Inf. Sci., 2025)

Integrating granular computing with density estimation for anomaly detection in high-dimensional heterogeneous data. - Baiyang Chen; Zhong Yuan; Dezhong Peng; Xiaoliang Chen; Hongmei Chen 001; Yingke Chen (Inf. Sci., 2025)

Adaptive structure learning for semi-supervised feature selection with binary single-label learning. - Huming Liao; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Inf. Sci., 2025)

Joint discriminant projection with cosine weighted dynamic graph regularization for feature extraction. - Weijia Tang; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Inf. Sci., 2025)

Anomaly detection based on fuzzy neighborhood rough sets. - Yuan Yuan; Sihan Wang; Hongmei Chen 001; Chuan Luo 001; Zhong Yuan (Inf. Sci., 2025)

Consistency and inconsistency guided multi-view subspace clustering based on low-rank tensor and comprehensive similarity. - Yutong Yan; Hongmei Chen 001; Tengyu Yin; Yong Mi; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2025)

An incomplete multiview clustering approach considering missing data recovery based on consistency. - Zhuowen Li; Hongmei Chen 001; Biao Xiang; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Neural Networks, 2025)

A general adaptive unsupervised feature selection with auto-weighting. - Huming Liao; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Neural Networks, 2025)

GBMOD: A granular-ball mean-shift outlier detector. - Shitong Cheng; Xinyu Su; Baiyang Chen; Hongmei Chen 001; Dezhong Peng; Zhong Yuan (Pattern Recognit., 2025)

Granular-ball computing-based Random Walk for anomaly detection. - Sihan Wang; Zhong Yuan; Shitong Cheng; Hongmei Chen 001; Dezhong Peng (Pattern Recognit., 2025)

Applying Deep Learning and Heatmap Techniques for Sinusitis Diagnosis Using Enhanced 3-D Image Segmentation. - Pin-Siang Huang; Shi-Jinn Horng; Chia-Jung Yang; Hongmei Chen 001; Wanlei Zhou 001 (IEEE Trans. Instrum. Meas., 2025)

DFNO: Detecting Fuzzy Neighborhood Outliers. - Zhong Yuan; Peng Hu 002; Hongmei Chen 001; Yingke Chen; Qilin Li (IEEE Trans. Knowl. Data Eng., 2025)

Label-Informed Outlier Detection Based on Granule Density. - Baiyang Chen; Zhong Yuan; Dezhong Peng; Hongmei Chen 001; Xiaomin Song; Huiming Zheng (IEEE Trans. Fuzzy Syst., 2025)

Fuzzy-Rough Bireducts With Supervised Multiscale Granulation. - Zhihong Wang; Hongmei Chen 001; Huming Liao; Tengyu Yin; Biao Xiang; Shi-Jinn Horng; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2025)

Granular-ball computing guided anomaly detection for hybrid attribute data. - Xinyu Su; Xiwen Wang; Dezhong Peng; Hongmei Chen 001; Yingke Chen; Zhong Yuan (Int. J. Mach. Learn. Cybern., 2025)

Semisupervised Feature Selection With Multiscale Fuzzy Information Fusion: From Both Global and Local Perspectives. - Nan Zhou; Shujiao Liao; Hongmei Chen 001; Weiping Ding 001; Yaqian Lu (IEEE Trans. Fuzzy Syst., 2025)

Robust Attribute Reduction Exploring Class-Separability and Attribute-Correlation for Ordered Decision Systems. - Binbin Sang; Lei Yang; Hongmei Chen 001; Tianrui Li 001; Weihua Xu 003 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Alzheimer's disease detection based on flexible optimal graph fusion of multimodal low rank sparse feature selection. - Yuqian He; Hongmei Chen 001; Biao Xiang; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Inf. Fusion, 2026)

Multiview feature selection combining latent space and similarity structure learning. - Zhuowen Li; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2026)