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Chuan Luo 0001
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Publications
- 2026
- [j85]Linting Miao, Hongmei Chen
, Biao Xiang, Zhong Yuan
Incorporating mixed-effects into Adaptive time relation multi-task learning with longitudinal data for Alzheimer's disease progression prediction. Appl. Soft Comput. 192: 114716 (2026) - [j84]Yu Chen, Hongmei Chen, Biao Xiang, Zhong Yuan
Robust clean hypergraph for incomplete multi-view clustering. Expert Syst. Appl. 299: 130203 (2026) - [j83]Yuqian He
Alzheimer's disease detection based on flexible optimal graph fusion of multimodal low rank sparse feature selection. Inf. Fusion 125: 103486 (2026) - [j82]Xi Guo, Hongmei Chen, Biao Xiang, Yong Mi, Zhong Yuan, Chuan Luo, Tianrui Li
A multi-view clustering approach via anchoring high-order graphs into a low-rank tensor. Inf. Fusion 133: 104317 (2026) - [j81]Jin Cao
Feature selection via enhanced rough hypercuboid approach with overlap degree and distance measure. Knowl. Based Syst. 334: 115072 (2026) - [j80]Zhuowen Li, Hongmei Chen
Multiview feature selection combining latent space and similarity structure learning. Pattern Recognit. 169: 111874 (2026) - 2025
- [j78]Xi Guo, Hongmei Chen
Non-convex regularized robust multimodal feature selection via self-representation learning for Alzheimer's disease diagnosis. Eng. Appl. Artif. Intell. 162: 112770 (2025) - [j77]Zhi Qin, Hongmei Chen
Graph diffusion with dual-distance metrics for missing multi-label feature selection. Expert Syst. Appl. 271: 126662 (2025) - [j76]Yong Mi, Hongmei Chen
Nonnegative graph embedding induced unsupervised feature selection. Expert Syst. Appl. 282: 127664 (2025) - [j75]Yanqi Hao, Chuan Luo, Tianrui Li, Junbo Zhang, Hongmei Chen:
Adversarial Transfer Learning-Based Hybrid Recurrent Network for Air Quality Prediction. Int. J. Intell. Syst. 2025(1) (2025) - [j74]Zijian Xiao, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li
Joint subspace learning and subspace clustering based unsupervised feature selection. Neurocomputing 635: 129885 (2025) - [j73]Ronggang Cai
Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning. Inf. Sci. 688: 121396 (2025) - [j72]Weijia Tang, Hongmei Chen, Tengyu Yin, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Joint discriminant projection with cosine weighted dynamic graph regularization for feature extraction. Inf. Sci. 705: 121987 (2025) - [j70]Zhuowen Li, Hongmei Chen, Biao Xiang, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li
An incomplete multiview clustering approach considering missing data recovery based on consistency. Neural Networks 191: 107836 (2025) - [j69]Tengyu Yin
Leveraging Fuzzy Manifold Intra-Class Correlation and Inter-Class Separability for Online Multilabel Streaming Features Analysis. IEEE Trans. Multim. 27: 6933-6948 (2025) - 2024
- [j68]Zelong Wang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Joint subspace reconstruction and label correlation for multi-label feature selection. Appl. Intell. 54(11-12): 1117-1143 (2024) - [j67]Tengyu Yin, Hongmei Chen
LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection. Eng. Appl. Artif. Intell. 133: 108108 (2024) - [j66]Yong Yang, Hongmei Chen
Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration. Expert Syst. Appl. 242: 122730 (2024) - [j65]Ronggang Cai
Feature-guided multi-view clustering by jointing local subspace label learning and global label learning. Expert Syst. Appl. 252: 124191 (2024) - [j63]Duanzhang Li, Hongmei Chen
Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA. Inf. Sci. 662: 120227 (2024) - [j62]Huming Liao, Hongmei Chen
Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness. Inf. Sci. 666: 120454 (2024) - [j61]Yong Mi, Hongmei Chen, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Unsupervised feature selection with high-order similarity learning. Knowl. Based Syst. 285: 111317 (2024) - [j60]Zhi Qin, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng
Multi-label Feature selection with adaptive graph learning and label information enhancement. Knowl. Based Syst. 285: 111363 (2024) - [j59]Zhi Qin, Hongmei Chen, Tengyu Yin, Zhong Yuan, Chuan Luo, Shi-Jinn Horng
Adaptive label secondary reconstruction for missing multi-label learning. Knowl. Based Syst. 299: 112019 (2024) - [j58]Yong Mi, Hongmei Chen
Fast Multi-view Subspace Clustering with Balance Anchors Guidance. Pattern Recognit. 145: 109895 (2024) - [j57]Ronggang Cai, Hongmei Chen
Multi-view clustering via pseudo-label guide learning and latent graph structure recovery. Pattern Recognit. 151: 110420 (2024) - [j56]Duanzhang Li, Hongmei Chen
Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection. Pattern Recognit. 155: 110683 (2024) - [j55]Pengfei Zhang
Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3514-3527 (2024) - [c23]Linlin Xie, Chuan Luo, Tianrui Li, Hongmei Chen:
Attribute Reduction Method of Fuzzy Rough Sets Based on Improved Overlap Degree. IJCRS (1) 2024: 165-180 - [c22]Zhuowen Li, Hongmei Chen, Biao Xiang, Zhong Yuan, Chuan Luo, Tianrui Li:
Incomplete Multi-view Clustering Based on Joint Concept Decomposition and Anchor Graph Learning. IJCRS (2) 2024: 335-349 - 2023
- [j54]Chuan Luo
MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark. Expert Syst. Appl. 211: 118554 (2023) - [j53]Tengyu Yin, Hongmei Chen, Tianrui Li
Robust feature selection using label enhancement and β-precision fuzzy rough sets for multilabel fuzzy decision system. Fuzzy Sets Syst. 461: 108462 (2023) - [j51]Zhihong Wang, Hongmei Chen
Fuzzy rough dimensionality reduction: A feature set partition-based approach. Inf. Sci. 644: 119266 (2023) - [j50]Yong Yang, Hongmei Chen
Multi-label feature selection based on stable label relevance and label-specific features. Inf. Sci. 648: 119525 (2023) - [j49]Mengshi Huang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng
Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection. Knowl. Based Syst. 282: 111105 (2023) - [j48]Weiyi Li, Hongmei Chen, Tianrui Li
Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning. Int. J. Mach. Learn. Cybern. 14(9): 3025-3045 (2023) - [j47]Lei Ma, Chuan Luo
Dynamic graph-based attribute reduction approach with fuzzy rough sets. Int. J. Mach. Learn. Cybern. 14(10): 3501-3516 (2023) - [j46]Xiaoling Yang, Hongmei Chen
Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data. IEEE Trans. Fuzzy Syst. 31(5): 1614-1627 (2023) - [j45]Chuan Luo
Spark Rough Hypercuboid Approach for Scalable Feature Selection. IEEE Trans. Knowl. Data Eng. 35(3): 3130-3144 (2023) - [j44]Chuan Luo
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10889-10903 (2023) - [j43]Chuan Luo
RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection. IEEE Trans. Parallel Distributed Syst. 34(6): 1830-1847 (2023) - [c21]Zhanyun Zhang, Chuan Luo, Tianrui Li, Hongmei Chen, Dun Liu:
A Novel Online Multi-label Feature Selection Approach for Multi-dimensional Streaming Data. CICAI (2) 2023: 159-171 - 2022
- [j42]Shuhao Huang, Hongmei Chen, Tianrui Li
Feature selection via minimizing global redundancy for imbalanced data. Appl. Intell. 52(8): 8685-8707 (2022) - [j41]Haohan Lu, Hongmei Chen, Tianrui Li
Multi-label feature selection based on manifold regularization and imbalance ratio. Appl. Intell. 52(10): 11652-11671 (2022) - [j40]Pengfei Zhang
AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets. Int. J. Approx. Reason. 140: 7-30 (2022) - [j39]Hao Chen, Hongmei Chen, Weiyi Li, Tianrui Li
Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection. Neurocomputing 490: 104-123 (2022) - [j38]Jian Zheng, Chuan Luo, Tianrui Li
A novel hierarchical feature selection method based on large margin nearest neighbor learning. Neurocomputing 497: 1-12 (2022) - [j37]Pengfei Zhang
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. Inf. Fusion 80: 87-103 (2022) - [j36]Chuan Luo, Jian Zheng, Tianrui Li
Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving. Inf. Sci. 586: 662-675 (2022) - [j35]Xiaoling Yang, Hongmei Chen, Tianrui Li
Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection. Inf. Sci. 610: 52-72 (2022) - [j34]Chuan Luo
Novel fuzzy rank discrimination measures for monotonic ordinal feature selection. Knowl. Based Syst. 240: 108178 (2022) - [j33]Xiaoling Yang, Hongmei Chen, Tianrui Li
A noise-aware fuzzy rough set approach for feature selection. Knowl. Based Syst. 250: 109092 (2022) - [j32]Chuan Luo
Fusing entropy measures for dynamic feature selection in incomplete approximation spaces. Knowl. Based Syst. 252: 109329 (2022) - [j31]Binbin Sang, Hongmei Chen, Jihong Wan
Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification. Knowl. Based Syst. 253: 109523 (2022) - [j30]Jihong Wan
R2CI: Information theoretic-guided feature selection with multiple correlations. Pattern Recognit. 127: 108603 (2022) - 2021
- [j29]Pengfei Zhang
Multi-source information fusion based on rough set theory: A review. Inf. Fusion 68: 85-117 (2021) - [j28]Zhong Yuan
Unsupervised attribute reduction for mixed data based on fuzzy rough sets. Inf. Sci. 572: 67-87 (2021) - [j27]Binbin Sang, Hongmei Chen, Lei Yang, Tianrui Li
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set. Knowl. Based Syst. 227: 107223 (2021) - [c20]Xinping Wu, Hongmei Chen, Tianrui Li
Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy. ISKE 2021: 242-248 - [c19]Jian Zheng, Chuan Luo, Tianrui Li
Hierarchical Feature Selection via Large Margin Nearest Neighbor. ISKE 2021: 530-535 - [c18]Qian Cao, Chuan Luo, Tianrui Li
Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data. IJCRS 2021: 203-217 - 2020
- [j26]Yunfei Feng, Hongmei Chen, Tianrui Li
A novel community detection method based on whale optimization algorithm with evolutionary population. Appl. Intell. 50(8): 2503-2522 (2020) - [j25]Shu Wang, Tianrui Li
A novel approach for efficient updating approximations in dynamic ordered information systems. Inf. Sci. 507: 197-219 (2020) - [j24]Yanyong Huang, Tianrui Li
Dynamic maintenance of rough approximations in multi-source hybrid information systems. Inf. Sci. 530: 108-127 (2020) - 2019
- [j23]Chuan Luo, Tianrui Li
Updating three-way decisions in incomplete multi-scale information systems. Inf. Sci. 476: 274-289 (2019) - [j22]Shu Wang, Tianrui Li
Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems. Inf. Sci. 478: 100-124 (2019) - [j21]Hongmei Chen, Tianrui Li
Feature selection for imbalanced data based on neighborhood rough sets. Inf. Sci. 483: 1-20 (2019) - [c17]Chuan Luo, Tianrui Li
An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data. DASC/PiCom/DataCom/CyberSciTech 2019: 483-488 - 2018
- [j20]Chuan Luo, Tianrui Li
Incremental rough set approach for hierarchical multicriteria classification. Inf. Sci. 429: 72-87 (2018) - [j19]Yanyong Huang, Tianrui Li
Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation. IEEE Trans. Fuzzy Syst. 26(6): 3403-3417 (2018) - [c16]Xin Yang
Composite Sequential Three-Way Decisions. IJCSR 2018: 177-186 - 2017
- [j18]Jie Hu, Tianrui Li
Incremental fuzzy probabilistic rough sets over two universes. Int. J. Approx. Reason. 81: 28-48 (2017) - [j17]Anping Zeng, Tianrui Li
Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values. Inf. Sci. 378: 363-388 (2017) - [j16]Chuan Luo, Tianrui Li
Dynamic probabilistic rough sets with incomplete data. Inf. Sci. 417: 39-54 (2017) - [j15]Xin Yang
A unified framework of dynamic three-way probabilistic rough sets. Inf. Sci. 420: 126-147 (2017) - [j14]Yanyong Huang, Tianrui Li
Matrix-based dynamic updating rough fuzzy approximations for data mining. Knowl. Based Syst. 119: 273-283 (2017) - [j13]Yanyong Huang, Tianrui Li
Dynamic variable precision rough set approach for probabilistic set-valued information systems. Knowl. Based Syst. 122: 131-147 (2017) - [j12]Jie Hu, Tianrui Li
Incremental fuzzy cluster ensemble learning based on rough set theory. Knowl. Based Syst. 132: 144-155 (2017) - 2016
- [j11]Shu Wang, Tianrui Li
Efficient updating rough approximations with multi-dimensional variation of ordered data. Inf. Sci. 372: 690-708 (2016) - [j10]Hongmei Chen, Tianrui Li
Parallel attribute reduction in dominance-based neighborhood rough set. Inf. Sci. 373: 351-368 (2016) - [j9]Yingying Zhang, Tianrui Li
Incremental updating of rough approximations in interval-valued information systems under attribute generalization. Inf. Sci. 373: 461-475 (2016) - [j8]Chuan Luo, Tianrui Li
Matrix approach to decision-theoretic rough sets for evolving data. Knowl. Based Syst. 99: 123-134 (2016) - [j7]Yunge Jing, Tianrui Li
An incremental approach for attribute reduction based on knowledge granularity. Knowl. Based Syst. 104: 24-38 (2016) - [j6]Chuan Luo, Tianrui Li
Efficient updating of probabilistic approximations with incremental objects. Knowl. Based Syst. 109: 71-83 (2016) - [c15]Yanyong Huang, Tianrui Li
Matrix-Based Rough Set Approach for Dynamic Probabilistic Set-Valued Information Systems. IJCRS 2016: 197-206 - 2015
- [j5]Chuan Luo, Tianrui Li
Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values. Inf. Sci. 299: 221-242 (2015) - [j4]Hongmei Chen, Tianrui Li
A Decision-Theoretic Rough Set Approach for Dynamic Data Mining. IEEE Trans. Fuzzy Syst. 23(6): 1958-1970 (2015) - [c14]Jie Hu, Tianrui Li
Incremental fuzzy probabilistic rough sets over dual universes. FUZZ-IEEE 2015: 1-8 - [c13]Anping Zeng, Tianrui Li
Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values. ICMLC 2015: 157-162 - [c12]Yanyong Huang, Tianrui Li
Dynamic Updating Rough Approximations in Distributed Information Systems. ISKE 2015: 170-175 - [c11]Tianrui Li
PICKT: A Solution for Big Data Analysis. RSKT 2015: 15-25 - [c10]Hongmei Chen, Tianrui Li
Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction. RSKT 2015: 89-99 - [c9]Yingying Zhang, Tianrui Li
Incremental Updating Rough Approximations in Interval-valued Information Systems. RSKT 2015: 243-252 - 2014
- [j3]Chuan Luo, Tianrui Li
Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization. Inf. Sci. 257: 210-228 (2014) - [j2]Hongmei Chen, Tianrui Li
A Rough Set-Based Method for Updating Decision Rules on Attribute Values' Coarsening and Refining. IEEE Trans. Knowl. Data Eng. 26(12): 2886-2899 (2014) - [c8]Chuan Luo, Tianrui Li
Incremental Three-Way Decisions with Incomplete Information. RSCTC 2014: 128-135 - [c7]Chuan Luo, Tianrui Li
Dynamic Maintenance of Three-Way Decision Rules. RSKT 2014: 801-811 - 2013
- [j1]Chuan Luo, Tianrui Li
Incremental approaches for updating approximations in set-valued ordered information systems. Knowl. Based Syst. 50: 218-233 (2013) - [c6]Anping Zeng, Tianrui Li
An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values. CIDUE 2013: 54-60 - [c5]Chuan Luo, Lixia Lu, Tianrui Li
An approach for incremental maintenance of approximations in set-valued ordered decision systems while updating criteria values. IFSA/NAFIPS 2013: 819-824 - [c4]Anping Zeng, Tianrui Li
A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems. RSFDGrC 2013: 157-168 - 2012
- [c3]Chuan Luo, Tianrui Li
Dynamic maintenance strategy for approximations in set-valued ordered information systems under the attribute generalization. GrC 2012: 332-337 - [c2]Shaoyong Li, Tianrui Li
A Multi-granulation Model under Dominance-Based Rough Set Approach. RSCTC 2012: 18-25 - [c1]Chuan Luo, Tianrui Li
An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems. RSCTC 2012: 363-369
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last updated on 2026-05-08 23:39 CEST by the dblp team
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