Jiucheng Xu

According to our database, Jiucheng Xu authored at least 94 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A novel random fast multi-label deep forest classification algorithm.

Tao Li, Jie-Xue Jia, Jian-Yu Li, Xian-Wei Xin, Jiucheng Xu

Neurocomputing, 2025

2024

Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data.

Lin Sun, Mengmeng Li, Weiping Ding, Jiucheng Xu

Appl. Soft Comput., December, 2024

Granular Ball Fuzzy Neighborhood Rough Sets-Based Feature Selection via Multiobjective Mayfly Optimization.

Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu

IEEE Trans. Fuzzy Syst., November, 2024

CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection.

Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu, Baofang Chang

Appl. Intell., August, 2024

LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning.

Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu

Int. J. Mach. Learn. Cybern., February, 2024

Feature selection based on multi-perspective entropy of mixing uncertainty measure in variable-granularity rough set.

Jiucheng Xu, Changshun Zhou, Shihui Xu, Lei Zhang, Ziqin Han

Appl. Intell., January, 2024

Sparse feature selection via local feature and high-order label correlation.

Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu

Appl. Intell., January, 2024

Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection.

Lin Sun, Qifeng Zhang, Weiping Ding, Jiucheng Xu

Knowl. Based Syst., 2024

LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy.

Lin Sun, Yuxuan Ma, Weiping Ding, Zhihao Lu, Jiucheng Xu

Inf. Sci., 2024

An adaptive dual-strategy constrained optimization-based coevolutionary optimizer for high-dimensional feature selection.

Tao Li, Shun-xi Zhang, Qiang Yang, Jiucheng Xu

Comput. Electr. Eng., 2024

Noise-resistant fuzzy multineighbourhood rough set-based feature selection with label enhancement and its application for multilabel classification.

Lin Sun, Wenjuan Du, Jiucheng Xu, Baofang Chang

Appl. Soft Comput., 2024

Feature Selection via Label Enhancement and Weighted Neighborhood Mutual Information for Multilabel Data.

Lin Sun, Jiaqi Guo, Xuejiao Wu, Jiucheng Xu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Feature selection using neighborhood uncertainty measures and Fisher score for gene expression data classification.

Jiucheng Xu, Kanglin Qu, Kangjian Qu, Qincheng Hou, Xiangru Meng

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

Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data.

Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu

Appl. Soft Comput., November, 2023

Feature selection using relative dependency complement mutual information in fitting fuzzy rough set model.

Jiucheng Xu, Xiangru Meng, Kanglin Qu, Yuanhao Sun, Qincheng Hou

Appl. Intell., August, 2023

TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data.

Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu

Inf. Fusion, July, 2023

Maximum relevance minimum redundancy-based feature selection using rough mutual information in adaptive neighborhood rough sets.

Kanglin Qu, Jiucheng Xu, Ziqin Han, Shihui Xu

Appl. Intell., July, 2023

AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization.

Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, Yuanyuan Ma

Appl. Soft Comput., May, 2023

Feature selection using Information Gain and decision information in neighborhood decision system.

Kanglin Qu, Jiucheng Xu, Qincheng Hou, Kangjian Qu, Yuanhao Sun

Appl. Soft Comput., March, 2023

TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm.

Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, Huili Meng

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

Feature selection using self-information uncertainty measures in neighborhood information systems.

Jiucheng Xu, Kanglin Qu, Yuanhao Sun, Jie Yang

Appl. Intell., February, 2023

Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2023

BSSFS: binary sparrow search algorithm for feature selection.

Lin Sun, Shanshan Si, Weiping Ding, Jiucheng Xu, Yan Zhang

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

Feature selection using binary monarch butterfly optimization.

Lin Sun, Shanshan Si, Jing Zhao, Jiucheng Xu, Yaojin Lin, Zhiying Lv

Appl. Intell., 2023

2022

Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.

Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2022

A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines.

Jiucheng Xu, Qincheng Hou, Kanglin Qu, Yuanhao Sun, Xiangru Meng

Sensors, 2022

TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification.

Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu

Knowl. Based Syst., 2022

Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors.

Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu

Inf. Sci., 2022

AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data.

Lin Sun, Mengmeng Li, Weiping Ding, En Zhang, Xiaoxia Mu, Jiucheng Xu

Inf. Sci., 2022

A binary individual search strategy-based bi-objective evolutionary algorithm for high-dimensional feature selection.

Tao Li, Zhi-Hui Zhan, Jiucheng Xu, Qiang Yang, Yuan-Yuan Ma

Inf. Sci., 2022

Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy.

Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu

Neurocomputing, 2022

Feature selection based on multiview entropy measures in multiperspective rough set.

Jiucheng Xu, Kanglin Qu, Xiangru Meng, Yuanhao Sun, Qincheng Hou

Int. J. Intell. Syst., 2022

Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Anhui Tan

Int. J. Intell. Syst., 2022

Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropy.

Jiucheng Xu, Jie Yang, Yuanyuan Ma, Kanglin Qu, Yuhan Kang

Appl. Intell., 2022

Mixed measure-based feature selection using the Fisher score and neighborhood rough sets.

Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu

Appl. Intell., 2022

A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection.

Tao Li, Jiucheng Xu, Meng Yuan, Zhigang Gao

Proceedings of the Intelligent Information Processing XI, 2022

2021

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets.

Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2021

Density peaks clustering based on k-nearest neighbors and self-recommendation.

Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang

Int. J. Mach. Learn. Cybern., 2021

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin

Inf. Sci., 2021

Feature Selection Combining Information Theory View and Algebraic View in the Neighborhood Decision System.

Jiucheng Xu, Kanglin Qu, Meng Yuan, Jie Yang

Entropy, 2021

Weighted Schatten p-Norm Low Rank Error Constraint for Image Denoising.

Jiucheng Xu, Yihao Cheng, Yuanyuan Ma

Entropy, 2021

2020

Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems.

Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu

Knowl. Based Syst., 2020

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.

Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

Inf. Sci., 2020

Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification.

Enhui Shi, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2020

Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets.

Miaomiao Huang, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2020

2019

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems.

Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang

Knowl. Based Syst., 2019

Feature genes selection based on fuzzy neighborhood conditional entropy.

Jiucheng Xu, Yun Wang, Huiyu Mu, Fangzhou Huang

J. Intell. Fuzzy Syst., 2019

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data.

Lin Sun, Wei Wang, Jiucheng Xu, Shiguang Zhang

J. Intell. Fuzzy Syst., 2019

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification.

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang

Inf. Sci., 2019

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets.

Lin Sun, Xiaoyu Zhang, Jiucheng Xu, Shiguang Zhang

Entropy, 2019

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures.

Lin Sun, Lanying Wang, Jiucheng Xu, Shiguang Zhang

Entropy, 2019

Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation.

Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian

Complex., 2019

Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis.

Jiucheng Xu, Yun Wang, Keqiang Xu, Tianli Zhang

Comput. Math. Methods Medicine, 2019

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification.

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang, Yun Tian

Appl. Intell., 2019

Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems.

Lin Sun, Tengyu Yin, Weiping Ding, Jiucheng Xu

IEEE Access, 2019

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2019

2018

A robust image watermarking scheme using Arnold transform and BP neural network.

Lin Sun, Jiucheng Xu, Shangwang Liu, Shiguang Zhang, Yuan Li, Chang'an Shen

Neural Comput. Appl., 2018

多粒度决策系统属性约简的最优粒度选择 (Optimal Granularity Selection of Attribute Reductions in Multi-granularity Decision System).

Jinling Shi, Qianqian Zhang, Jiucheng Xu

计算机科学, 2018

Feature genes selection using Fisher transformation method.

Huiyu Mu, Jiucheng Xu, Yun Wang, Lin Sun

J. Intell. Fuzzy Syst., 2018

Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification.

Jiucheng Xu, Huiyu Mu, Yun Wang, Fangzhou Huang

Comput. Math. Methods Medicine, 2018

Multi-pyramid image spatial structure based on coarse-to-fine pyramid and scale space.

Jiucheng Xu, Nan Wang, Yuyao Wang

CAAI Trans. Intell. Technol., 2018

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian

IEEE Access, 2018

2017

An efficient gene selection technique based on Self-organizing Map and Particle Swarm Optimization.

Sen Feng, Jiucheng Xu, Tianhe Xu

J. Intell. Fuzzy Syst., 2017

Decision Evolution Set: A New Method of Rough Set in Time Series.

Yuwen Hu, Jiucheng Xu, Xiaoyu Yi

Proceedings of the Fuzzy Systems and Data Mining III, 2017

2016

基于下近似分布粒度熵的变精度悲观多粒度粗糙集粒度约简 (Granularity Reduction of Variable Precision Pessimistic Multi-granulation Rough Set Based on Granularity Entropy of Lower Approximate Distribution).

Huili Meng, Yuanyuan Ma, Jiucheng Xu

计算机科学, 2016

Image Classification Using Spatial Difference Descriptor Under Spatial Pyramid Matching Framework.

Yuhui Li, Jiucheng Xu, Yifan Zhang, Chunjie Zhang, Hongsheng Yin, Hanqing Lu

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2015

基于三支决策的支持向量机增量学习方法 (Three-way Decisions-based Incremental Learning Method for Support Vector Machine).

Jiucheng Xu, Yangyang Liu, Lina Du, Lin Sun

计算机科学, 2015

Methods and Practices of Three-Way Decisions for Complex Problem Solving.

Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, Decui Liang, Jiye Liang, Baoxiang Liu, Dun Liu, Jianmin Ma, Duoqian Miao, Fan Min, Jian-Jun Qi, Lin Shang, Jiucheng Xu, Hailong Yang, Jingtao Yao, Yiyu Yao, Hongying Zhang, Yanping Zhang, Yanhui Zhu

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

Decisions Tree Learning Method Based on Three-Way Decisions.

Yangyang Liu, Jiucheng Xu, Lin Sun, Lina Du

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014

Concept Granule-Based Granular Lattice and Application in Knowledge Retrieval.

Lin Sun, Jiucheng Xu, Yangyang Liu

J. Softw., 2014

Towards a distributed multi-agent framework for shared resources scheduling.

Bernard Archimède, Agnès Letouzey, Muhammad Ali Memon, Jiucheng Xu

J. Intell. Manuf., 2014

A Feature Selection Approach of Inconsistent Decision Systems in Rough Set.

Lin Sun, Jiucheng Xu, Yuhui Li

J. Comput., 2014

A fast and robust model selection algorithm for multi-input multi-output support vector machine.

Wentao Mao, Jiucheng Xu, Chuan Wang, Longlei Dong

Neurocomputing, 2014

2013

Model selection of extreme learning machine based on multi-objective optimization.

Wentao Mao, Mei Tian, Xizheng Cao, Jiucheng Xu

Neural Comput. Appl., 2013

An Improved Correlation Measure-based SOM Clustering Algorithm for Gene Selection.

Jiucheng Xu, Tianhe Xu, Lin Sun, Jinyu Ren

J. Softw., 2013

Granular Space-Based Feature Selection and Its Applications.

Lin Sun, Jiucheng Xu, Yuwen Hu, Lina Du

J. Softw., 2013

A Greedy Correlation Measure Based Attribute Clustering Algorithm for Gene Selection.

Jiucheng Xu, Yun-peng Gao, Shuangqun Li, Lin Sun, Tianhe Xu, Jinyu Ren

J. Comput., 2013

Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval.

Lin Sun, Ning Zhong, Jiucheng Xu

J. Comput., 2013

2012

Feature selection using rough entropy-based uncertainty measures in incomplete decision systems.

Lin Sun, Jiucheng Xu, Yun Tian

Knowl. Based Syst., 2012

Decision Degree-based Decision Tree Technology for Rule Extraction.

Lin Sun, Jiucheng Xu, Zhanao Xue, Jinyu Ren

J. Comput., 2012

A Color Image Segmentation Algorithm by Integrating Watershed with Region Merging.

Shuangqun Li, Jiucheng Xu, Jinyu Ren, Tianhe Xu

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

2011

Gene selection algorithm combining ReliefF and relative neighborhood rough set.

Jiucheng Xu, Ling-jun Zhang, Lin Sun, Yun-peng Gao

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Application of using SCEP model for distributed scheduling with shared resources in hospital system.

Jiucheng Xu, Bernard Archimède, Agnès Letouzey

Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

2010

A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set.

Jiucheng Xu, Lin Sun

Trans. Rough Sets, 2010

Knowledge Reduction Based on Granular Computing from Decision Information Systems.

Lin Sun, Jiucheng Xu, Shuangqun Li

Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

The Close-Degree of Concept Lattice and Attribute Reduction Algorithm Based on It.

Huili Meng, Jiucheng Xu

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

Research of Knowledge Reduction Based on New Conditional Entropy.

Jiucheng Xu, Lin Sun

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Model Driven Service Interoperability through Use of Semantic Annotations.

Arne-Jørgen Berre, Fangning Liu, Jiucheng Xu, Brian Elvesæter

Proceedings of the International Conference on Interoperability for Enterprise Software and Applications China, 2009

Ordered rules extraction for incomplete ordered decision system in granular computing.

Jiucheng Xu, Jinling Shi, Wanli Cheng

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008

New Reduction Algorithm Based on Decision Power of Decision Table.

Jiucheng Xu, Lin Sun

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Theoretical Analysis on the Relations between Distance and Close-degree based on Granular Computing.

Jiucheng Xu, Yuanyuan Ma, Congpin Zhang

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007

Knowledge Reduction and its Rough Entropy Representation of Decision Tables in Rough Set.

Jiucheng Xu, Lin Sun

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2004

Rough Set Theory Analysis on Decision Subdivision.

Jiucheng Xu, Junyi Shen, Guoyin Wang

Proceedings of the Rough Sets and Current Trends in Computing, 2004

2003

Querying Data from RRDB Based on Rough Sets Theory.

Qiusheng An, Guoyin Wang, Junyi Shen, Jiucheng Xu

Proceedings of the Rough Sets, 2003