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 79 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Exploiting fuzzy rough entropy to detect anomalies.
Int. J. Approx. Reason., February, 2024

Fast Multi-view Subspace Clustering with Balance Anchors Guidance.
Pattern Recognit., January, 2024

Joint subspace reconstruction and label correlation for multi-label feature selection.
Appl. Intell., January, 2024

2023
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection.
Knowl. Based Syst., December, 2023

Multi-label feature selection based on stable label relevance and label-specific features.
Inf. Sci., November, 2023

Dynamic graph-based attribute reduction approach with fuzzy rough sets.
Int. J. Mach. Learn. Cybern., October, 2023

Fuzzy rough dimensionality reduction: A feature set partition-based approach.
Inf. Sci., October, 2023

Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning.
Int. J. Mach. Learn. Cybern., September, 2023

MFGAD: Multi-fuzzy granules anomaly detection.
Inf. Fusion, July, 2023

RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection.
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.
Fuzzy Sets Syst., June, 2023

Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data.
IEEE Trans. Fuzzy Syst., May, 2023

Spark Rough Hypercuboid Approach for Scalable Feature Selection.
IEEE Trans. Knowl. Data Eng., March, 2023

MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark.
Expert Syst. Appl., 2023

A Novel Online Multi-label Feature Selection Approach for Multi-dimensional Streaming Data.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
R2CI: Information theoretic-guided feature selection with multiple correlations.
Pattern Recognit., 2022

A noise-aware fuzzy rough set approach for feature selection.
Knowl. Based Syst., 2022

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification.
Knowl. Based Syst., 2022

Novel fuzzy rank discrimination measures for monotonic ordinal feature selection.
Knowl. Based Syst., 2022

Fusing entropy measures for dynamic feature selection in incomplete approximation spaces.
Knowl. Based Syst., 2022

Student-<i>t</i> kernelized fuzzy rough set model with fuzzy divergence for feature selection.
Inf. Sci., 2022

Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving.
Inf. Sci., 2022

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.
Inf. Fusion, 2022

A novel hierarchical feature selection method based on large margin nearest neighbor learning.
Neurocomputing, 2022

Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection.
Neurocomputing, 2022

AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets.
Int. J. Approx. Reason., 2022

Multi-label feature selection based on manifold regularization and imbalance ratio.
Appl. Intell., 2022

Feature selection via minimizing global redundancy for imbalanced data.
Appl. Intell., 2022

2021
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set.
Knowl. Based Syst., 2021

Unsupervised attribute reduction for mixed data based on fuzzy rough sets.
Inf. Sci., 2021

Multi-source information fusion based on rough set theory: A review.
Inf. Fusion, 2021

Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data.
Proceedings of the Rough Sets - International Joint Conference, 2021

Hierarchical Feature Selection via Large Margin Nearest Neighbor.
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.
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.
Inf. Sci., 2020

Dynamic maintenance of rough approximations in multi-source hybrid information systems.
Inf. Sci., 2020

A novel community detection method based on whale optimization algorithm with evolutionary population.
Appl. Intell., 2020

2019
Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems.
Inf. Sci., 2019

Updating three-way decisions in incomplete multi-scale information systems.
Inf. Sci., 2019

Feature selection for imbalanced data based on neighborhood rough sets.
Inf. Sci., 2019

An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation.
IEEE Trans. Fuzzy Syst., 2018

Incremental rough set approach for hierarchical multicriteria classification.
Inf. Sci., 2018

Composite Sequential Three-Way Decisions.
Proceedings of the Rough Sets - International Joint Conference, 2018

2017
Dynamic variable precision rough set approach for probabilistic set-valued information systems.
Knowl. Based Syst., 2017

Matrix-based dynamic updating rough fuzzy approximations for data mining.
Knowl. Based Syst., 2017

Incremental fuzzy cluster ensemble learning based on rough set theory.
Knowl. Based Syst., 2017

Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values.
Inf. Sci., 2017

A unified framework of dynamic three-way probabilistic rough sets.
Inf. Sci., 2017

Dynamic probabilistic rough sets with incomplete data.
Inf. Sci., 2017

Incremental fuzzy probabilistic rough sets over two universes.
Int. J. Approx. Reason., 2017

2016
Efficient updating of probabilistic approximations with incremental objects.
Knowl. Based Syst., 2016

Matrix approach to decision-theoretic rough sets for evolving data.
Knowl. Based Syst., 2016

An incremental approach for attribute reduction based on knowledge granularity.
Knowl. Based Syst., 2016

Incremental updating of rough approximations in interval-valued information systems under attribute generalization.
Inf. Sci., 2016

Efficient updating rough approximations with multi-dimensional variation of ordered data.
Inf. Sci., 2016

Parallel attribute reduction in dominance-based neighborhood rough set.
Inf. Sci., 2016

Matrix-Based Rough Set Approach for Dynamic Probabilistic Set-Valued Information Systems.
Proceedings of the Rough Sets - International Joint Conference, 2016

2015
A Decision-Theoretic Rough Set Approach for Dynamic Data Mining.
IEEE Trans. Fuzzy Syst., 2015

Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values.
Inf. Sci., 2015

Incremental Updating Rough Approximations in Interval-valued Information Systems.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

PICKT: A Solution for Big Data Analysis.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Dynamic Updating Rough Approximations in Distributed Information Systems.
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.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Incremental fuzzy probabilistic rough sets over dual universes.
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.
IEEE Trans. Knowl. Data Eng., 2014

Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization.
Inf. Sci., 2014

Dynamic Maintenance of Three-Way Decision Rules.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Incremental Three-Way Decisions with Incomplete Information.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

2013
Incremental approaches for updating approximations in set-valued ordered information systems.
Knowl. Based Syst., 2013

A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems.
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.
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.
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.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

A Multi-granulation Model under Dominance-Based Rough Set Approach.
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.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012


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