Hongmei Chen

发表

A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values

Shaojie Qiao, Tianrui Li, D. Ruan, 2010 .

A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments

Jianhui Lin, Da Ruan, Chengxiang Hu, 2013, IEEE Transactions on Knowledge and Data Engineering.

A robust graph based multi-label feature selection considering feature-label dependency

Tianrui Li, Hongmei Chen, Weiyi Li, 2022, Applied Intelligence.

APPROACHES TO INCREMENTAL LEARNING KNOWLEDGE BASED ON THE CHANGES OF ATTRIBUTES' VALUES

Tianrui Li, Hongmei Chen, Dun Liu, 2009 .

A novel hierarchical feature selection method based on large margin nearest neighbor learning

Tianrui Li, Hongmei Chen, Jian Zheng, 2022, Neurocomputing.

MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark

Hongmei Chen, Chuan Luo, Tianrui Li, 2022, Expert Syst. Appl..

Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection

Hongmei Chen, Pengfei Zhang, Chuan Luo, 2022, Inf. Sci..

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification

Weihua Xu, Hongmei Chen, Chuan Luo, 2022, Knowl. Based Syst..

Consistency regularization for deep semi-supervised clustering with pairwise constraints

Hongmei Chen, Shengdong Du, Jie Hu, 2022, International Journal of Machine Learning and Cybernetics.

Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization

Hongmei Chen, Tianrui Li, Jihong Wan, 2022, Neurocomputing.

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

Hongmei Chen, Keyu Liu, Tianrui Li, 2022, Inf. Sci..

Exploiting fuzzy rough mutual information for feature selection

Hongmei Chen, Zhihong Wang, Pengfei Zhang, 2022, Applied Soft Computing.

Semi-supervised feature selection with minimal redundancy based on local adaptive

Hongmei Chen, Tianrui Li, Jihong Wan, 2021, Applied Intelligence.

Feature selection for imbalanced data based on neighborhood rough sets

Xin Fan, Tianrui Li, Chuan Luo, 2019, Inf. Sci..

A novel community detection method based on whale optimization algorithm with evolutionary population

Tianrui Li, Hongmei Chen, Yunfei Feng, 2020, Applied Intelligence.

A stable community detection approach for complex network based on density peak clustering and label propagation

Hongmei Chen, Tianrui Li, Xiaoling Yang, 2021, Applied Intelligence.

A novel community detection method based on whale optimization algorithm with evolutionary population

Tianrui Li, Chuan Luo, Hongmei Chen, 2020, Applied Intelligence.

Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection

Tianrui Li, Hongmei Chen, Weiyi Li, 2022, Neurocomputing.

Robust multi-label feature selection with shared coupled and dynamic graph regularization

Hongmei Chen, B. Peng, Tianrui Li, 2022, Applied Intelligence.

A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes

Li Li, Fangfang Zhang, Hongmei Chen, 2013, TheScientificWorldJournal.

Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set

Weihua Xu, Hongmei Chen, Binbin Sang, 2021, Knowl. Based Syst..

Parallel attribute reduction in dominance-based neighborhood rough set

Hamido Fujita, Hongmei Chen, Yong Cai, 2016, Inf. Sci..

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction

Tianrui Li, Chuan Luo, Jie Hu, 2015, RSKT.

Composite rough sets for dynamic data mining

Tianrui Li, Hongmei Chen, Junbo Zhang, 2014, Inf. Sci..

Neighborhood rough sets with distance metric learning for feature selection

Tianrui Li, Hongmei Chen, Binbin Sang, 2021, Knowl. Based Syst..

Incremental rough set approach for hierarchical multicriteria classification

Zhang Yi, Hamido Fujita, Tianrui Li, 2018, Inf. Sci..

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

Tianrui Li, Hongmei Chen, Zhong Yuan, 2021, Appl. Soft Comput..

Three-way decision on two universes

Xiaonan Li, Huangjian Yi, Hongmei Chen, 2020, Inf. Sci..

A fuzzy rough set approach for incremental feature selection on hybrid information systems

Dun Liu, Tianrui Li, Hongmei Chen, 2015, Fuzzy Sets Syst..

Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets

Tianrui Li, Weihua Xu, Hongmei Chen, 2021, IEEE Transactions on Fuzzy Systems.

A Decision-Theoretic Rough Set Approach for Dynamic Data Mining

Guoyin Wang, Shi-Jinn Horng, Tianrui Li, 2015, IEEE Transactions on Fuzzy Systems.

Double-local rough sets for efficient data mining

Tianrui Li, Hongmei Chen, Qianqian Huang, 2021, Inf. Sci..

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

Hongmei Chen, Binbin Sang, Jihong Wan, 2021, Knowl. Based Syst..

Semi-supervised feature selection with minimal redundancy based on local adaptive

Tianrui Li, Hongmei Chen, Xinping Wu, 2021, Applied Intelligence.

Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems

Shu Wang, Hamido Fujita, Tianrui Li, 2019, Inf. Sci..

An Approach for Attribute Reduction in Set-valued Ordered Information Systems based on Information Entropy

Tianrui Li, Chuan Luo, Hongmei Chen, 2012 .

Multi-source information fusion based on rough set theory: A review

Tianrui Li, Hongmei Chen, Pengfei Zhang, 2021, Inf. Fusion.

A Group Incremental Reduction Algorithm with Varying Data Values

Shi-Jinn Horng, Tianrui Li, Hongmei Chen, 2017, Int. J. Intell. Syst..

A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values

Shaojie Qiao, Da Ruan, Tianrui Li, 2010, Int. J. Intell. Syst..

A unified framework of dynamic three-way probabilistic rough sets

Xin Yang, Dun Liu, Tianrui Li, 2017, Inf. Sci..

An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems

Dun Liu, Tianrui Li, Chuan Luo, 2012, RSCTC.

Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining

Da Ruan, Tianrui Li, Hongmei Chen, 2012, Knowl. Based Syst..

Dynamic Maintenance of Approximations Under a Rough-set Based Variable Precision Limited Tolerance Relation

Da Ruan, Tianrui Li, Hongmei Chen, 2012, J. Multiple Valued Log. Soft Comput..

Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization

Hongmei Chen, Tianrui Li, Chuan Luo, 2014, Inf. Sci..

Incremental approaches for updating approximations in set-valued ordered information systems

Dun Liu, Tianrui Li, Chuan Luo, 2013, Knowl. Based Syst..

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

Tianrui Li, Hongmei Chen, Zhong Yuan, 2022, Pattern Recognit..

Incremental updating of rough approximations in interval-valued information systems under attribute generalization

Tianrui Li, Chuan Luo, Yingying Zhang, 2016, Inf. Sci..

Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values

Tianrui Li, Chuan Luo, Jie Hu, 2017, Inf. Sci..

Composite Rough Sets

Tianrui Li, Hongmei Chen, Junbo Zhang, 2012, AICI.

PICKT: A Solution for Big Data Analysis

Tianrui Li, Chuan Luo, Hongmei Chen, 2015, RSKT.

A Rough Set-Based Method for Updating Decision Rules on Attribute Values’ Coarsening and Refining

Guoyin Wang, Shi-Jinn Horng, Tianrui Li, 2014, IEEE Transactions on Knowledge and Data Engineering.

An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes

Tianrui Li, Jie Hu, Hongmei Chen, 2015, Int. J. Intell. Syst..

Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning

Hongmei Chen, Weiyi Li, Chuan Luo, 2023, International Journal of Machine Learning and Cybernetics.

A new blockmodeling based hierarchical clustering algorithm for web social networks

Shaojie Qiao, Jing Peng, Hong Li, 2012, Eng. Appl. Artif. Intell..

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

Hongmei Chen, Tianrui Li, Binbin Sang, 2023, IEEE Transactions on Fuzzy Systems.

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures

Tianrui Li, Hongmei Chen, Jihong Wan, 2021, IEEE Transactions on Cybernetics.

R2CI: Information theoretic-guided feature selection with multiple correlations

Tianrui Li, Hongmei Chen, Wei Huang, 2022, Pattern Recognit..

Dynamic interaction feature selection based on fuzzy rough set

Tianrui Li, Hongmei Chen, Xiaoling Yang, 2021, Inf. Sci..

Unsupervised feature selection via self-paced learning and low-redundant regularization pdf

Weiyi Li, Hongmei Chen, Binbin Sang, 2021, Knowl. Based Syst..

Feature selection via minimizing global redundancy for imbalanced data

Tianrui Li, Hongmei Chen, Chuan Luo, 2021, Applied Intelligence.

基于粗糙集和果蝇优化算法的特征选择方法 (Feature Selection Algorithm Based on Rough Sets and Fruit Fly Optimization)

Hongmei Chen, Shengwu Wang, Bo Fang, 2019, 计算机科学.

Semi-supervised feature selection based on pairwise constraint-guided dual space latent representation learning and double sparse graphs discriminant

Hongmei Chen, Weiyi Li, Haoyao Chen, 2022, Applied Intelligence.

Adaptive graph learning for semi-supervised feature selection with redundancy minimization

Hongmei Chen, Tianrui Li, Xiaoling Yang, 2022, Inf. Sci..

Semi-supervised feature selection via adaptive structure learning and constrained graph learning

Hongmei Chen, Weiyi Li, Tianrui Li, 2022, Knowl. Based Syst..

Multi-view latent structure learning with rank recovery

Hongmei Chen, Tianrui Li, Jihong Wan, 2022, Applied Intelligence.

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

Hongmei Chen, Jihong Wan, Tianrui Li, 2022, IEEE Transactions on Fuzzy Systems.

Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving

Tianrui Li, Hongmei Chen, Chuan Luo, 2021, Inf. Sci..

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification

Weihua Xu, Hongmei Chen, Tianrui Li, 2022, IEEE Transactions on Fuzzy Systems.

基于粗糙集和改进鲸鱼优化算法的特征选择方法 (Feature Selection Method Based on Rough Sets and Improved Whale Optimization Algorithm)

Hongmei Chen, Shengwu Wang, Hongmei Chen, 2020, 计算机科学.

A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time

Tianrui Li, Hongmei Chen, Junbo Zhang, 2010, 2010 IEEE International Conference on Granular Computing.

Unsupervised attribute reduction for mixed data based on fuzzy rough sets

Tianrui Li, Chuan Luo, Hongmei Chen, 2021, Inf. Sci..

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

Tianrui Li, Hongmei Chen, Zhong Yuan, 2020, Fuzzy Sets Syst..

Parallel computing of approximations in dominance-based rough sets approach

Tianrui Li, Hongmei Chen, Junbo Zhang, 2015, Knowl. Based Syst..

Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values

Tianrui Li, Chuan Luo, Hongmei Chen, 2015, Inf. Sci..

Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time

Tianrui Li, Hongmei Chen, Hongmei Tian, 2013, Rough Sets and Intelligent Systems.

Robust feature selection using label enhancement and β-precision fuzzy rough sets for multilabel fuzzy decision system

Hongmei Chen, Chuan Luo, Tianrui Li, 2023, Fuzzy Sets Syst..

Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy

Tianrui Li, Hongmei Chen, Chuan Luo, 2021, International Conference on Intelligent Systems and Knowledge Engineering.

Spark Rough Hypercuboid Approach for Scalable Feature Selection

Tianrui Li, Hongmei Chen, J. Lv, 2023, IEEE Transactions on Knowledge and Data Engineering.

A noise-aware fuzzy rough set approach for feature selection

Tianrui Li, Hongmei Chen, Chuan Luo, 2022, Knowl. Based Syst..

SemiFREE: Semi-supervised Feature Selection with Fuzzy Relevance and Redundancy

Xibei Yang, Hongmei Chen, Keyu Liu, 2023, IEEE transactions on fuzzy systems.

RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection

Hongmei Chen, J. Lv, Chuan Luo, 2023, IEEE Transactions on Parallel and Distributed Systems.

Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data

Hao Wang, Hongmei Chen, Zeng Yu, 2023, IEEE Transactions on Fuzzy Systems.

Efficient updating of probabilistic approximations with incremental objects

Zhang Yi, Hamido Fujita, Tianrui Li, 2016, Knowl. Based Syst..

Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach.

Tianrui Li, Hongmei Chen, J. Lv, 2022, IEEE transactions on neural networks and learning systems.

Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set

Tianrui Li, Hongmei Chen, Anping Zeng, 2014, Fundam. Informaticae.

Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data

Hongmei Chen, Qian Cao, Tianrui Li, 2021, IJCRS.

Fast Multi-view Subspace Clustering with Balance Anchors Guidance

S. Horng, Hongmei Chen, Y. Mi, 2023, Pattern Recognition.

A novel quantum grasshopper optimization algorithm for feature selection

Dong Wang, Tianrui Li, Hongmei Chen, 2020, Int. J. Approx. Reason..

Incremental approaches for heterogeneous feature selection in dynamic ordered data

Weihua Xu, Hongmei Chen, Tianrui Li, 2020, Inf. Sci..

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

Weihua Xu, Hongmei Chen, Lei Yang, 2019, Int. J. Approx. Reason..

Probabilistic Composite Rough Set and Attribute Reduction

Tianrui Li, Chuan Luo, Hongmei Chen, 2014 .

Reconstruction of Hidden Representation for Robust Feature Extraction

Yi Pan, Tianrui Li, Bing Liu, 2017, ACM Trans. Intell. Syst. Technol..

High-order interaction feature selection for classification learning: A robust knowledge metric perspective

Hongmei Chen, Min Li, Tianrui Li, 2023, Pattern Recognit..

Robust multi-view clustering in latent low-rank space with discrepancy induction

Hongmei Chen, Tianrui Li, Xiaoling Yang, 2023, Applied Intelligence.

Incremental attribute reduction approaches for ordered data with time-evolving objects

Dapeng Zhou, Weihua Xu, Tianrui Li, 2020, Knowl. Based Syst..

Multi-label Feature selection with adaptive graph learning and label information enhancement

S. Horng, Hongmei Chen, Chuan Luo, 2024, Knowledge-Based Systems.

Research on the approach of dynamically maintenance of approximations in rough set theory while attribute values coarsening and refining

Weibin Liu, Tianrui Li, Hongmei Chen, 2009, 2009 IEEE International Conference on Granular Computing.

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

Tianrui Li, Hongmei Chen, Xianyong Zhang, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data

Tianrui Li, Hongmei Chen, Binbin Sang, 2021, IEEE Transactions on Cybernetics.

Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA

S. Horng, Hongmei Chen, Chuan Luo, 2024, Information Sciences.