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)

A Multi-granulation Model under Dominance-Based Rough Set Approach. - Shaoyong Li; Tianrui Li 001; Chuan Luo 001 (RSCTC, 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)

An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values. - Anping Zeng; Tianrui Li 001; Chuan Luo 001; Junbo Zhang (CIDUE, 2013)

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)

A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems. - Anping Zeng; Tianrui Li 001; Chuan Luo 001; Junbo Zhang; Yan Yang 001 (RSFDGrC, 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)

Incremental Three-Way Decisions with Incomplete Information. - Chuan Luo 001; Tianrui Li 001 (RSCTC, 2014)

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

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)

Incremental fuzzy probabilistic rough sets over dual universes. - Jie Hu 007; Tianrui Li 001; Chuan Luo 001; Shaoyong Li (FUZZ-IEEE, 2015)

Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values. - Anping Zeng; Tianrui Li 001; Chuan Luo 001; Jie Hu 007 (ICMLC, 2015)

Dynamic Updating Rough Approximations in Distributed Information Systems. - Yanyong Huang; Tianrui Li 001; Chuan Luo 001; Shi-Jinn Horng (ISKE, 2015)

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)

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)

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)

Matrix-Based Rough Set Approach for Dynamic Probabilistic Set-Valued Information Systems. - Yanyong Huang; Tianrui Li 001; Chuan Luo 001; Shi-Jinn Horng (IJCRS, 2016)

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)

Efficient updating rough approximations with multi-dimensional variation of ordered data. - Shu Wang; Tianrui Li 001; 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)

An incremental approach for attribute reduction based on knowledge granularity. - Yunge Jing; Tianrui Li 001; Chuan Luo 001; Shi-Jinn Horng; Guoyin Wang 001; Zeng Yu 001 (Knowl. Based Syst., 2016)

Matrix approach to decision-theoretic rough sets for evolving data. - Chuan Luo 001; Tianrui Li 001; Zhang Yi 001; Hamido Fujita (Knowl. Based Syst., 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)

Incremental fuzzy probabilistic rough sets over two universes. - Jie Hu 007; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Shaoyong Li (Int. J. Approx. Reason., 2017)

Dynamic probabilistic rough sets with incomplete data. - Chuan Luo 001; Tianrui Li 001; Yiyu Yao (Inf. Sci., 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 fuzzy cluster ensemble learning based on rough set theory. - Jie Hu 007; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Yan Yang 001 (Knowl. Based Syst., 2017)

Matrix-based dynamic updating rough fuzzy approximations for data mining. - Yanyong Huang; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Shi-Jinn Horng (Knowl. Based Syst., 2017)

Dynamic variable precision rough set approach for probabilistic set-valued information systems. - Yanyong Huang; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Shi-Jinn Horng (Knowl. Based Syst., 2017)

Composite Sequential Three-Way Decisions. - Xin Yang 012; Ning Wang; Tianrui Li 001; Dun Liu; Chuan Luo 001 (IJCSR, 2018)

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)

Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation. - Yanyong Huang; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Shi-Jinn Horng (IEEE Trans. Fuzzy Syst., 2018)

An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data. - Chuan Luo 001; Tianrui Li 001; Zhang Yi 001 (DASC/PiCom/DataCom/CyberSciTech, 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)

Updating three-way decisions in incomplete multi-scale information systems. - Chuan Luo 001; Tianrui Li 001; Yanyong Huang; Hamido Fujita (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)

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)

Dynamic maintenance of rough approximations in multi-source hybrid information systems. - Yanyong Huang; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Shi-Jinn Horng; Bin Wang 045 (Inf. Sci., 2020)

A novel approach for efficient updating approximations in dynamic ordered information systems. - Shu Wang; Tianrui Li 001; Chuan Luo 001; Jie Hu 007; Hamido Fujita; Tianqiang Huang (Inf. Sci., 2020)

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)

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)

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)

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)

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)

AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets. - Pengfei Zhang 016; Tianrui Li 001; Chuan Luo 001; Guoqiang Wang (Int. J. Approx. Reason., 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)

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)

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Chuan Luo 001; Guoqiang Wang; Jia Liu 033; Shengdong Du (Inf. Fusion, 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Chuan Luo 001; Keyu Liu; Xiaoling Yang (IEEE Trans. Neural Networks Learn. Syst., 2024)

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)

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)

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)

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)

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)

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)