Jinhai Li

According to our database, Jinhai Li authored at least 82 papers between 2009 and 2026.

Collaborative distances:

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

2026

A Locality-sensitive hashing based instance selection method with its application to acceleration of feature selection.

Fan Song, Xiao Zhang, Jinhai Li, Changlin Mei

Pattern Recognit., 2026

Uncertain multi-conceptual information acquisition and fusion for hierarchical classification.

Xiaoyuan Deng, Jinhai Li, Weiping Ding, Xizhao Wang

Inf. Fusion, 2026

2025

Traffic Prediction Based on Formal Concept-Enhanced Federated Graph Learning.

Kai Wu, Fei Hao, Ruoxia Yao, Jinhai Li, Geyong Min, Sergei O. Kuznetsov

IEEE Trans. Intell. Transp. Syst., May, 2025

Fc-gcn: A formal concept-enhanced graph convolution network model.

Kai Wu, Chao Zhang, Fei Hao, Jinhai Li, Qing Wan, Kyuwon Park, Xueyang Qin, Vincenzo Loia

Soft Comput., March, 2025

Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy.

Zhiming Liu, Jinhai Li, Xiao Zhang, Xi-Zhao Wang

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Optimal meso-granularity selection for classification based on Bayesian optimization.

Qiangqiang Chen, Mengyu Yan, Jinhai Li, Xizhao Wang

Knowl. Based Syst., 2025

Three-way concept lattice construction and association rule acquisition.

Junping Xie, Jing Yang, Jinhai Li, Mingwei He, Huaxiang Song

Inf. Sci., 2025

Granular concept-enhanced relational graph convolution networks for link prediction in knowledge graph.

Yuhao Dai, Mengyu Yan, Jinhai Li

Inf. Sci., 2025

Multi-level information fusion for missing multi-label learning based on stochastic concept clustering.

Zhiming Liu, Jinhai Li, Xiao Zhang, Xizhao Wang

Inf. Fusion, 2025

Information fusion based conflict analysis model for multi-source fuzzy data.

Xinxin Tang, Mengyu Yan, Jinhai Li, Fei Hao

Int. J. Approx. Reason., 2025

An instance-oriented multi-source information fusion technique based on neighborhood granules.

Xiao Zhang, Jingjing Shen, Jinhai Li, Xia Liu

Appl. Soft Comput., 2025

2024

FGRBC: A Novel Fuzzy Granular Rule-Based Classifier Using the Justifiable Granularity Principle and a Fusion Strategy.

Xiao Zhang, Yijing Liu, Jinhai Li, Changlin Mei

IEEE Trans. Fuzzy Syst., December, 2024

The concept information of graph granule with application to knowledge graph embedding.

Jiaojiao Niu, Degang Chen, Yinglong Ma, Jinhai Li

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

Bi-Selection of Instances and Features Based on Neighborhood Importance Degree.

Xiao Zhang, Zhaoqian He, Jinhai Li, Changlin Mei, Yanyan Yang

IEEE Trans. Big Data, August, 2024

An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering.

Xiaoyuan Deng, Jinhai Li, Yuhua Qian, Junmin Liu

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Component similarity based conflict analysis: An information fusion viewpoint.

Huilai Zhi, Jinhai Li

Inf. Fusion, April, 2024

An efficient method of renewing object-induced three-way concept lattices involving decreasing attribute-granularity levels.

Junping Xie, Jing Yang, Jinhai Li, Debby D. Wang

Int. J. Approx. Reason., January, 2024

Three-way conflict analysis model under agent-agent mutual selection environment.

Hongxia Dou, Shen Li, Jinhai Li

Inf. Sci., 2024

Optimal scale selection approach for classification based on generalized multi-scale formal context.

Fei Wang, Jinhai Li, Chongchong Yu

Appl. Soft Comput., 2024

Overlapping Community Detection Based on Weak Equiconcept.

Sunqian Shi, Mengyu Yan, Jinhai Li

IEEE Access, 2024

2023

Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction.

Xiao Zhang, Changlin Mei, Jinhai Li, Yanyan Yang, Ting Qian

IEEE Trans. Fuzzy Syst., June, 2023

Notes on the improvement of concept-cognitive learning accuracy.

Keyi Guo, Jinhai Li, Xiao Zhang

Int. J. Approx. Reason., May, 2023

Rule acquisition in generalized multi-scale information systems with multi-scale decisions.

Weizhi Wu, Dongran Niu, Jinhai Li, Tong-Jun Li

Int. J. Approx. Reason., March, 2023

Network rule extraction under the network formal context based on three-way decision.

Min Fan, Shan Luo, Jinhai Li

Appl. Intell., March, 2023

Deep Tensor Attention Prior Network for Hyperspectral Image Denoising.

Weilin Shen, Junmin Liu, Jinhai Li, Chao Tian

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Update of optimal scale in dynamic multi-scale decision information systems.

Jinhai Li, Ye Feng

Int. J. Approx. Reason., 2023

Sequential 3WD-based local optimal scale selection in dynamic multi-scale decision information systems.

Yingsheng Chen, Jinhai Li, Jinjin Li, Dongxiao Chen, Rongde Lin

Int. J. Approx. Reason., 2023

2022

Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space.

Yunlong Mi, Wenqi Liu, Yong Shi, Jinhai Li

IEEE Trans. Knowl. Data Eng., 2022

Multilevel Conflict Analysis Based on Fuzzy Formal Contexts.

Huilai Zhi, Jinhai Li, Yinan Li

IEEE Trans. Fuzzy Syst., 2022

Fuzzy Rule-Based Classification Method for Incremental Rule Learning.

Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang

IEEE Trans. Fuzzy Syst., 2022

Fuzzy-Based Concept Learning Method: Exploiting Data With Fuzzy Conceptual Clustering.

Yunlong Mi, Yong Shi, Jinhai Li, Wenqi Liu, Mengyu Yan

IEEE Trans. Cybern., 2022

A further study on optimal scale selection in dynamic multi-scale decision information systems based on sequential three-way decisions.

Yingsheng Chen, Jinhai Li, Jinjin Li, Rongde Lin, Dongxiao Chen

Int. J. Mach. Learn. Cybern., 2022

A dynamic rule-based classification model via granular computing.

Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang

Inf. Sci., 2022

Fusing attribute reduction accelerators.

Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian

Inf. Sci., 2022

2021

Concept-Cognitive Learning Model for Incremental Concept Learning.

Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Self-questioning dynamical evolutionary game with altruistic behavior and sharing mechanism in scale-free network.

Bo Yang, Jinhai Li

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

A Pragmatic Approach to Understand Hebbian Cell Assembly.

Aswani Kumar Cherukuri, Radhika Shivhare, Ajith Abraham, Jinhai Li, Annapurna Jonnalagadda

Int. J. Cogn. Informatics Nat. Intell., 2021

Accelerator for crosswise computing reduct.

Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian

Appl. Soft Comput., 2021

2020

Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy.

Xiao Zhang, Changlin Mei, Degang Chen, Yanyan Yang, Jinhai Li

IEEE Trans. Fuzzy Syst., 2020

Complex network analysis of three-way decision researches.

Bo Yang, Jinhai Li

Int. J. Mach. Learn. Cybern., 2020

New advances in three-way decision, granular computing and concept lattice.

Xizhao Wang, Jinhai Li

Int. J. Mach. Learn. Cybern., 2020

2019

Neighborhood attribute reduction: a multi-criterion approach.

Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu

Int. J. Mach. Learn. Cybern., 2019

Granule description based knowledge discovery from incomplete formal contexts via necessary attribute analysis.

Huilai Zhi, Jinhai Li

Inf. Sci., 2019

Concurrent concept-cognitive learning model for classification.

Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu

Inf. Sci., 2019

2018

Three-way decisions, concept lattice and granular computing: Editorial.

Xizhao Wang, Jinhai Li

Int. J. Mach. Learn. Cybern., 2018

A quantitative approach to reasoning about incomplete knowledge.

Yanhong She, Xiaoli He, Yuhua Qian, Weihua Xu, Jinhai Li

Inf. Sci., 2018

Rule acquisition and optimal scale selection in multi-scale formal decision contexts and their applications to smart city.

Junping Xie, Minhua Yang, Jinhai Li, Zhong Zheng

Future Gener. Comput. Syst., 2018

A generalized concept-cognitive learning: A machine learning viewpoint.

Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li

CoRR, 2018

2017

Cognitive concept learning from incomplete information.

Yingxiu Zhao, Jinhai Li, Wenqi Liu, Weihua Xu

Int. J. Mach. Learn. Cybern., 2017

Editorial.

Weihua Xu, Jinhai Li, Mingwen Shao, Wen-Xiu Zhang

Int. J. Mach. Learn. Cybern., 2017

Concepts reduction in formal concept analysis with fuzzy setting using Shannon entropy.

Prem Kumar Singh, Aswani Kumar Cherukuri, Jinhai Li

Int. J. Mach. Learn. Cybern., 2017

Three-way cognitive concept learning via multi-granularity.

Jinhai Li, Chenchen Huang, Jianjun Qi, Yuhua Qian, Wenqi Liu

Inf. Sci., 2017

Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions.

Chen Hao, Jinhai Li, Min Fan, Wenqi Liu, Eric C. C. Tsang

Inf. Sci., 2017

Comparison of reduction in formal decision contexts.

Jinhai Li, Cherukuri Aswani Kumar, Changlin Mei, Xizhao Wang

Int. J. Approx. Reason., 2017

Three-way concept learning based on cognitive operators: An information fusion viewpoint.

Chenchen Huang, Jinhai Li, Changlin Mei, Wei-Zhi Wu

Int. J. Approx. Reason., 2017

An intensive study on rule acquisition in formal decision contexts based on minimal closed label concept lattices.

Jinhai Li, Chenchen Huang, Changlin Mei, Yunqiang Yin

Intell. Autom. Soft Comput., 2017

Establishment of Cognitive Relations Based on Cognitive Informatics.

Radhika Shivhare, Aswani Kumar Cherukuri, Jinhai Li

Cogn. Comput., 2017

Concept Compression in Formal Concept Analysis Using Entropy-Based Attribute Priority.

K. Sumangali, Cherukuri Aswani Kumar, Jinhai Li

Appl. Artif. Intell., 2017

Attribute Reduction: An Ensemble Strategy.

Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen

Proceedings of the Rough Sets - International Joint Conference, 2017

AFS-Based Formal Concept Analysis on Multi-valued Context.

Lidong Wang, Xiaodong Liu, Jinhai Li

Proceedings of the Rough Sets - International Joint Conference, 2017

2016

Knowledge representation using interval-valued fuzzy formal concept lattice.

Prem Kumar Singh, Cherukuri Aswani Kumar, Jinhai Li

Soft Comput., 2016

Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy.

Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li

Pattern Recognit., 2016

An information fusion technology for triadic decision contexts.

Yaqiang Tang, Min Fan, Jinhai Li

Int. J. Mach. Learn. Cybern., 2016

Concept lattice compression in incomplete contexts based on<i> K</i>-medoids clustering.

Caiping Li, Jinhai Li, Miao He

Int. J. Mach. Learn. Cybern., 2016

Granule description based on formal concept analysis.

Huilai Zhi, Jinhai Li

Knowl. Based Syst., 2016

A comparative study of multigranulation rough sets and concept lattices via rule acquisition.

Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibei Yang

Knowl. Based Syst., 2016

2015

A local approach to rule induction in multi-scale decision tables.

Yanhong She, Jinhai Li, Hailong Yang

Knowl. Based Syst., 2015

Concept learning via granular computing: A cognitive viewpoint.

Jinhai Li, Changlin Mei, Weihua Xu, Yuhua Qian

Inf. Sci., 2015

On inference rules in decision formal contexts.

Jinhai Li, Changlin Mei, Lidong Wang, Junhong Wang

Int. J. Comput. Intell. Syst., 2015

Cognitive concept learning via granular computing for big data.

Jinhai Li, Chenchen Huang, Weihua Xu, Yuhua Qian, Wenqi Liu

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

2014

Rule-preserved object compression in formal decision contexts using concept lattices.

Jinhai Li, Changlin Mei, Junhong Wang, Xiao Zhang

Knowl. Based Syst., 2014

Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems.

Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li

Int. J. Approx. Reason., 2014

2013

On rule acquisition in decision formal contexts.

Jinhai Li, Changlin Mei, Cherukuri Aswani Kumar, Xiao Zhang

Int. J. Mach. Learn. Cybern., 2013

Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization.

Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li

Knowl. Based Syst., 2013

Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction.

Jinhai Li, Changlin Mei, Yuejin Lv

Int. J. Approx. Reason., 2013

Weakly closed label concept lattice and its application to rule acquisition in decision formal contexts.

Jinhai Li, Junhong Wang, Changlin Mei, Xiao Zhang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012

Knowledge reduction in real decision formal contexts.

Jinhai Li, Changlin Mei, Yuejin Lv

Inf. Sci., 2012

Knowledge reduction in formal decision contexts based on an order-preserving mapping.

Jinhai Li, Changlin Mei, Yuejin Lv

Int. J. Gen. Syst., 2012

A Heuristic Knowledge Reduction Algorithm for Real Decision Formal Contexts.

Jinhai Li, Changlin Mei, Yuejin Lv, Xiao Zhang

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

2011

Knowledge reduction in decision formal contexts.

Jinhai Li, Changlin Mei, Yuejin Lv

Knowl. Based Syst., 2011

A heuristic knowledge-reduction method for decision formal contexts.

Jinhai Li, Changlin Mei, Yuejin Lv

Comput. Math. Appl., 2011

2009

Attribute Reduction of Formal Context Based on Concept Lattice.

Yuejin Lv, Hongmei Liu, Jinhai Li

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009