Chuan Luo

Orcid: 0000-0002-4021-464X

Affiliations:

Sichuan University, College of Computer Science, Chengdu, China
Southwest Jiaotong University, Chengdu, China (PhD 2015)

According to our database¹, Chuan Luo authored at least 90 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning.

[BibT_eX]

[DOI]

Inf. Sci., 2025

2024

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Exploiting fuzzy rough entropy to detect anomalies.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., February, 2024

Fast Multi-view Subspace Clustering with Balance Anchors Guidance.

[BibT_eX]

[DOI]

Pattern Recognit., January, 2024

Joint subspace reconstruction and label correlation for multi-label feature selection.

[BibT_eX]

[DOI]

Appl. Intell., January, 2024

Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Multi-view clustering via pseudo-label guide learning and latent graph structure recovery.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Adaptive label secondary reconstruction for missing multi-label learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Unsupervised feature selection with high-order similarity learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness.

[BibT_eX]

[DOI]

Inf. Sci., 2024

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

[BibT_eX]

[DOI]

Inf. Sci., 2024

Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Feature-guided multi-view clustering by jointing local subspace label learning and global label learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection.

[BibT_eX]

[DOI]

Knowl. Based Syst., December, 2023

Multi-label feature selection based on stable label relevance and label-specific features.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

Dynamic graph-based attribute reduction approach with fuzzy rough sets.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., October, 2023

Fuzzy rough dimensionality reduction: A feature set partition-based approach.

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

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

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., September, 2023

MFGAD: Multi-fuzzy granules anomaly detection.

[BibT_eX]

[DOI]

Inf. Fusion, July, 2023

RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., June, 2023

Robust feature selection using label enhancement and <i>β</i>-precision fuzzy rough sets for multilabel fuzzy decision system.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., June, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., May, 2023

Spark Rough Hypercuboid Approach for Scalable Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

A Novel Online Multi-label Feature Selection Approach for Multi-dimensional Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

R2CI: Information theoretic-guided feature selection with multiple correlations.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

A noise-aware fuzzy rough set approach for feature selection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Novel fuzzy rank discrimination measures for monotonic ordinal feature selection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Fusing entropy measures for dynamic feature selection in incomplete approximation spaces.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Student-<i>t</i> kernelized fuzzy rough set model with fuzzy divergence for feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

Inf. Sci., 2022

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

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

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Neurocomputing, 2022

AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Multi-label feature selection based on manifold regularization and imbalance ratio.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Feature selection via minimizing global redundancy for imbalanced data.

[BibT_eX]

[DOI]

Appl. Intell., 2022

2021

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Unsupervised attribute reduction for mixed data based on fuzzy rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2021

Hierarchical Feature Selection via Large Margin Nearest Neighbor.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020

A novel approach for efficient updating approximations in dynamic ordered information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Dynamic maintenance of rough approximations in multi-source hybrid information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2020

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

[BibT_eX]

[DOI]

Appl. Intell., 2020

2019

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

[BibT_eX]

[DOI]

Inf. Sci., 2019

Updating three-way decisions in incomplete multi-scale information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Feature selection for imbalanced data based on neighborhood rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2019

An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data.

[BibT_eX]

[DOI]

Chuan Luo

Tianrui Li

Zhang Yi

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2018

Incremental rough set approach for hierarchical multicriteria classification.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Composite Sequential Three-Way Decisions.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2018

2017

Dynamic variable precision rough set approach for probabilistic set-valued information systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Matrix-based dynamic updating rough fuzzy approximations for data mining.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Incremental fuzzy cluster ensemble learning based on rough set theory.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

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

[BibT_eX]

[DOI]

Inf. Sci., 2017

A unified framework of dynamic three-way probabilistic rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Dynamic probabilistic rough sets with incomplete data.

[BibT_eX]

[DOI]

Chuan Luo

Tianrui Li

Yiyu Yao

Inf. Sci., 2017

Incremental fuzzy probabilistic rough sets over two universes.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

2016

Efficient updating of probabilistic approximations with incremental objects.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Matrix approach to decision-theoretic rough sets for evolving data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

An incremental approach for attribute reduction based on knowledge granularity.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

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

[BibT_eX]

[DOI]

Inf. Sci., 2016

Efficient updating rough approximations with multi-dimensional variation of ordered data.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Parallel attribute reduction in dominance-based neighborhood rough set.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Matrix-Based Rough Set Approach for Dynamic Probabilistic Set-Valued Information Systems.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2016

2015

A Decision-Theoretic Rough Set Approach for Dynamic Data Mining.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

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

[BibT_eX]

[DOI]

Inf. Sci., 2015

Incremental Updating Rough Approximations in Interval-valued Information Systems.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

PICKT: A Solution for Big Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Dynamic Updating Rough Approximations in Distributed Information Systems.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Incremental fuzzy probabilistic rough sets over dual universes.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

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

[BibT_eX]

[DOI]

Chuan Luo

Tianrui Li

Hongmei Chen

Inf. Sci., 2014

Dynamic Maintenance of Three-Way Decision Rules.

[BibT_eX]

[DOI]

Chuan Luo

Tianrui Li

Hongmei Chen

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Incremental Three-Way Decisions with Incomplete Information.

[BibT_eX]

[DOI]

Chuan Luo

Tianrui Li

Proceedings of the Rough Sets and Current Trends in Computing, 2014

2013

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

An approach for incremental maintenance of approximations in set-valued ordered decision systems while updating criteria values.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

2012

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

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2012

A Multi-granulation Model under Dominance-Based Rough Set Approach.

[BibT_eX]

[DOI]

Shaoyong Li

Tianrui Li

Chuan Luo

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Dynamic maintenance strategy for approximations in set-valued ordered information systems under the attribute generalization.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Chuan Luo

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