Jinhai Li

90 papers Misc 2Journal 84Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Locality-sensitive hashing based instance selection method with its application to acceleration of feature selection.
Pattern Recognit.
Fan Song, Xiao Zhang, Jinhai Li, Changlin Mei
2026 J jnl
A fuzzy concept-cognitive learning approach via structured concept representation.
Fuzzy Sets Syst.
Jiaojiao Niu, Degang Chen, Jinhai Li
2026 J jnl
GNS2CCL: A graph network semi-supervised concept-cognitive learning model for node classification.
Pattern Recognit.
Mengyu Yan, Jinhai Li, Xizhao Wang
2026 J jnl
Incremental Granular-Ball Fuzzy Concept Learning With Information Filtering and Fusion.
IEEE Trans. Big Data
Keyi Guo, Jinhai Li, Shuyin Xia
2026 J jnl
PCA-GRF: A novel granular random forest algorithm for enhancing classification of small sample data.
Inf. Sci.
Biyun Lan, Keshou Wu, Yumin Chen, Jinhai Li
2026 J jnl
ScOrGBC: A novel classifier of granular balls with stable centers and optimal radii.
Appl. Soft Comput.
Yongqiang Guo, Xiao Zhang, Jinhai Li, Yanyan Yang
2026 J jnl
Towards graph concept-cognitive learning: A survey and beyond.
Inf. Fusion
Fei Hao, Mengyu Yan, Jinhai Li, Weihua Xu
2026 J jnl
Uncertain multi-conceptual information acquisition and fusion for hierarchical classification.
Inf. Fusion
Xiaoyuan Deng, Jinhai Li, Weiping Ding, Xizhao Wang
2025 J jnl
A Fuzzy Granular Support Vector Machine for Network Traffic Anomaly Detection.
IEEE Trans. Intell. Transp. Syst.
Rong Lai, Yumin Chen, Jinhai Li
2025 J jnl
An instance-oriented multi-source information fusion technique based on neighborhood granules.
Appl. Soft Comput.
Xiao Zhang, Jingjing Shen, Jinhai Li, Xia Liu
2025 J jnl
Fc-gcn: A formal concept-enhanced graph convolution network model.
Soft Comput.
Kai Wu, Chao Zhang, Fei Hao, Jinhai Li, Qing Wan, Kyuwon Park, Xueyang Qin, Vincenzo Loia
2025 J jnl
Frequency-Enhanced Subspace Clustering Network With Information Bottleneck.
IEEE Trans. Multim.
Mengran Hou, Mengyao Li, Chengli Tan, Junmin Liu, Jinhai Li, Huirong Li
2025 J jnl
Granular concept-enhanced relational graph convolution networks for link prediction in knowledge graph.
Inf. Sci.
Yuhao Dai, Mengyu Yan, Jinhai Li
2025 J jnl
Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy.
IEEE Trans. Neural Networks Learn. Syst.
Zhiming Liu, Jinhai Li, Xiao Zhang, Xi-Zhao Wang
2025 J jnl
Information fusion based conflict analysis model for multi-source fuzzy data.
Int. J. Approx. Reason.
Xinxin Tang, Mengyu Yan, Jinhai Li, Fei Hao
2025 J jnl
Multi-level information fusion for missing multi-label learning based on stochastic concept clustering.
Inf. Fusion
Zhiming Liu, Jinhai Li, Xiao Zhang, Xizhao Wang
2025 J jnl
Optimal meso-granularity selection for classification based on Bayesian optimization.
Knowl. Based Syst.
Qiangqiang Chen, Mengyu Yan, Jinhai Li, Xizhao Wang
2025 J jnl
Three-way concept lattice construction and association rule acquisition.
Inf. Sci.
Junping Xie, Jing Yang, Jinhai Li, Mingwei He, Huaxiang Song
2025 J jnl
Traffic Prediction Based on Formal Concept-Enhanced Federated Graph Learning.
IEEE Trans. Intell. Transp. Syst.
Kai Wu, Fei Hao, Ruoxia Yao, Jinhai Li, Geyong Min, Sergei O. Kuznetsov
2024 J jnl
An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoyuan Deng, Jinhai Li, Yuhua Qian, Junmin Liu
2024 J jnl
An efficient method of renewing object-induced three-way concept lattices involving decreasing attribute-granularity levels.
Int. J. Approx. Reason.
Junping Xie, Jing Yang, Jinhai Li, Debby Dan Wang
2024 J jnl
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree.
IEEE Trans. Big Data
Xiao Zhang, Zhaoqian He, Jinhai Li, Changlin Mei, Yanyan Yang
2024 J jnl
Component similarity based conflict analysis: An information fusion viewpoint.
Inf. Fusion
Huilai Zhi, Jinhai Li
2024 J jnl
FGRBC: A Novel Fuzzy Granular Rule-Based Classifier Using the Justifiable Granularity Principle and a Fusion Strategy.
IEEE Trans. Fuzzy Syst.
Xiao Zhang, Yijing Liu, Jinhai Li, Changlin Mei
2024 J jnl
Optimal scale selection approach for classification based on generalized multi-scale formal context.
Appl. Soft Comput.
Fei Wang, Jinhai Li, Chongchong Yu
2024 J jnl
Overlapping Community Detection Based on Weak Equiconcept.
IEEE Access
Sunqian Shi, Mengyu Yan, Jinhai Li
2024 J jnl
The concept information of graph granule with application to knowledge graph embedding.
Int. J. Mach. Learn. Cybern.
Jiaojiao Niu, Degang Chen, Yinglong Ma, Jinhai Li
2024 J jnl
Three-way conflict analysis model under agent-agent mutual selection environment.
Inf. Sci.
Hongxia Dou, Shen Li, Jinhai Li
2023 J jnl
Deep Tensor Attention Prior Network for Hyperspectral Image Denoising.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Weilin Shen, Junmin Liu, Jinhai Li, Chao Tian
2023 J jnl
Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction.
IEEE Trans. Fuzzy Syst.
Xiao Zhang, Changlin Mei, Jinhai Li, Yanyan Yang, Ting Qian
2023 J jnl
Network rule extraction under the network formal context based on three-way decision.
Appl. Intell.
Min Fan, Shan Luo, Jinhai Li
2023 J jnl
Notes on the improvement of concept-cognitive learning accuracy.
Int. J. Approx. Reason.
Keyi Guo, Jinhai Li, Xiao Zhang
2023 J jnl
Rule acquisition in generalized multi-scale information systems with multi-scale decisions.
Int. J. Approx. Reason.
Weizhi Wu, Dongran Niu, Jinhai Li, Tong-Jun Li
2023 J jnl
Sequential 3WD-based local optimal scale selection in dynamic multi-scale decision information systems.
Int. J. Approx. Reason.
Yingsheng Chen, Jinhai Li, Jinjin Li, Dongxiao Chen, Rongde Lin
2023 J jnl
Update of optimal scale in dynamic multi-scale decision information systems.
Int. J. Approx. Reason.
Jinhai Li, Ye Feng
2022 J jnl
A dynamic rule-based classification model via granular computing.
Inf. Sci.
Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang
2022 J jnl
A further study on optimal scale selection in dynamic multi-scale decision information systems based on sequential three-way decisions.
Int. J. Mach. Learn. Cybern.
Yingsheng Chen, Jinhai Li, Jinjin Li, Rongde Lin, Dongxiao Chen
2022 J jnl
Fusing attribute reduction accelerators.
Inf. Sci.
Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian
2022 J jnl
Fuzzy Rule-Based Classification Method for Incremental Rule Learning.
IEEE Trans. Fuzzy Syst.
Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang
2022 J jnl
Fuzzy-Based Concept Learning Method: Exploiting Data With Fuzzy Conceptual Clustering.
IEEE Trans. Cybern.
Yunlong Mi, Yong Shi, Jinhai Li, Wenqi Liu, Mengyu Yan
2022 J jnl
Multilevel Conflict Analysis Based on Fuzzy Formal Contexts.
IEEE Trans. Fuzzy Syst.
Huilai Zhi, Jinhai Li, Yinan Li
2022 J jnl
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space.
IEEE Trans. Knowl. Data Eng.
Yunlong Mi, Wenqi Liu, Yong Shi, Jinhai Li
2021 J jnl
A Pragmatic Approach to Understand Hebbian Cell Assembly.
Int. J. Cogn. Informatics Nat. Intell.
Aswani Kumar Cherukuri, Radhika Shivhare, Ajith Abraham, Jinhai Li, Annapurna Jonnalagadda
2021 J jnl
Accelerator for crosswise computing reduct.
Appl. Soft Comput.
Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian
2021 J jnl
Concept-Cognitive Learning Model for Incremental Concept Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu
2021 J jnl
Self-questioning dynamical evolutionary game with altruistic behavior and sharing mechanism in scale-free network.
Int. J. Mach. Learn. Cybern.
Bo Yang, Jinhai Li
2020 J jnl
Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy.
IEEE Trans. Fuzzy Syst.
Xiao Zhang, Changlin Mei, Degang Chen, Yanyan Yang, Jinhai Li
2020 J jnl
Complex network analysis of three-way decision researches.
Int. J. Mach. Learn. Cybern.
Bo Yang, Jinhai Li
2020 J jnl
New advances in three-way decision, granular computing and concept lattice.
Int. J. Mach. Learn. Cybern.
Xizhao Wang, Jinhai Li
2019 J jnl
Concurrent concept-cognitive learning model for classification.
Inf. Sci.
Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu
2019 J jnl
Granule description based knowledge discovery from incomplete formal contexts via necessary attribute analysis.
Inf. Sci.
Huilai Zhi, Jinhai Li
2019 J jnl
Neighborhood attribute reduction: a multi-criterion approach.
Int. J. Mach. Learn. Cybern.
Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu
2018 J jnl
A generalized concept-cognitive learning: A machine learning viewpoint.
CoRR
Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li
2018 J jnl
A quantitative approach to reasoning about incomplete knowledge.
Inf. Sci.
Yanhong She, Xiaoli He, Yuhua Qian, Weihua Xu, Jinhai Li
2018 J jnl
Rule acquisition and optimal scale selection in multi-scale formal decision contexts and their applications to smart city.
Future Gener. Comput. Syst.
Junping Xie, Minhua Yang, Jinhai Li, Zhong Zheng
2018 J jnl
Three-way decisions, concept lattice and granular computing: Editorial.
Int. J. Mach. Learn. Cybern.
Xizhao Wang, Jinhai Li
2017 — conf
AFS-Based Formal Concept Analysis on Multi-valued Context.
IJCRS (2)
Lidong Wang, Xiaodong Liu, Jinhai Li
2017 J jnl
An intensive study on rule acquisition in formal decision contexts based on minimal closed label concept lattices.
Intell. Autom. Soft Comput.
Jinhai Li, Chenchen Huang, Changlin Mei, Yunqiang Yin
2017 — conf
Attribute Reduction: An Ensemble Strategy.
IJCRS (1)
Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen
2017 J jnl
Cognitive concept learning from incomplete information.
Int. J. Mach. Learn. Cybern.
Yingxiu Zhao, Jinhai Li, Wenqi Liu, Weihua Xu
2017 J jnl
Comparison of reduction in formal decision contexts.
Int. J. Approx. Reason.
Jinhai Li, Cherukuri Aswani Kumar, Changlin Mei, Xizhao Wang
2017 J jnl
Concept Compression in Formal Concept Analysis Using Entropy-Based Attribute Priority.
Appl. Artif. Intell.
K. Sumangali, Cherukuri Aswani Kumar, Jinhai Li
2017 J jnl
Concepts reduction in formal concept analysis with fuzzy setting using Shannon entropy.
Int. J. Mach. Learn. Cybern.
Prem Kumar Singh, Aswani Kumar Cherukuri, Jinhai Li
2017 J jnl
Editorial.
Int. J. Mach. Learn. Cybern.
Weihua Xu, Jinhai Li, Mingwen Shao, Wen-Xiu Zhang
2017 J jnl
Establishment of Cognitive Relations Based on Cognitive Informatics.
Cogn. Comput.
Radhika Shivhare, Aswani Kumar Cherukuri, Jinhai Li
2017 J jnl
Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions.
Inf. Sci.
Chen Hao, Jinhai Li, Min Fan, Wenqi Liu, Eric C. C. Tsang
2017 J jnl
Three-way cognitive concept learning via multi-granularity.
Inf. Sci.
Jinhai Li, Chenchen Huang, Jianjun Qi, Yuhua Qian, Wenqi Liu
2017 J jnl
Three-way concept learning based on cognitive operators: An information fusion viewpoint.
Int. J. Approx. Reason.
Chenchen Huang, Jinhai Li, Changlin Mei, Wei-Zhi Wu
2016 J jnl
A comparative study of multigranulation rough sets and concept lattices via rule acquisition.
Knowl. Based Syst.
Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibei Yang
2016 J jnl
An information fusion technology for triadic decision contexts.
Int. J. Mach. Learn. Cybern.
Yaqiang Tang, Min Fan, Jinhai Li
2016 J jnl
Concept lattice compression in incomplete contexts based on
Int. J. Mach. Learn. Cybern.
Caiping Li, Jinhai Li, Miao He
2016 J jnl
Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy.
Pattern Recognit.
Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li
2016 J jnl
Granule description based on formal concept analysis.
Knowl. Based Syst.
Huilai Zhi, Jinhai Li
2016 J jnl
Knowledge representation using interval-valued fuzzy formal concept lattice.
Soft Comput.
Prem Kumar Singh, Cherukuri Aswani Kumar, Jinhai Li
2015 J jnl
A local approach to rule induction in multi-scale decision tables.
Knowl. Based Syst.
Yanhong She, Jinhai Li, Hailong Yang
2015 Misc conf
Cognitive concept learning via granular computing for big data.
ICMLC
Jinhai Li, Chenchen Huang, Weihua Xu, Yuhua Qian, Wenqi Liu
2015 J jnl
Concept learning via granular computing: A cognitive viewpoint.
Inf. Sci.
Jinhai Li, Changlin Mei, Weihua Xu, Yuhua Qian
2015 J jnl
On inference rules in decision formal contexts.
Int. J. Comput. Intell. Syst.
Jinhai Li, Changlin Mei, Lidong Wang, Junhong Wang
2014 J jnl
Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems.
Int. J. Approx. Reason.
Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li
2014 J jnl
Rule-preserved object compression in formal decision contexts using concept lattices.
Knowl. Based Syst.
Jinhai Li, Changlin Mei, Junhong Wang, Xiao Zhang
2013 J jnl
Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction.
Int. J. Approx. Reason.
Jinhai Li, Changlin Mei, Yuejin Lv
2013 J jnl
Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization.
Knowl. Based Syst.
Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li
2013 J jnl
On rule acquisition in decision formal contexts.
Int. J. Mach. Learn. Cybern.
Jinhai Li, Changlin Mei, Cherukuri Aswani Kumar, Xiao Zhang
2013 Misc conf
Weakly closed label concept lattice and its application to rule acquisition in decision formal contexts.
ICMLC
Jinhai Li, Junhong Wang, Changlin Mei, Xiao Zhang
2012 — conf
A Heuristic Knowledge Reduction Algorithm for Real Decision Formal Contexts.
RSCTC
Jinhai Li, Changlin Mei, Yuejin Lv, Xiao Zhang
2012 J jnl
Knowledge reduction in formal decision contexts based on an order-preserving mapping.
Int. J. Gen. Syst.
Jinhai Li, Changlin Mei, Yuejin Lv
2012 J jnl
Knowledge reduction in real decision formal contexts.
Inf. Sci.
Jinhai Li, Changlin Mei, Yuejin Lv
2011 J jnl
A heuristic knowledge-reduction method for decision formal contexts.
Comput. Math. Appl.
Jinhai Li, Changlin Mei, Yuejin Lv
2011 J jnl
Knowledge reduction in decision formal contexts.
Knowl. Based Syst.
Jinhai Li, Changlin Mei, Yuejin Lv
2009 — conf
Attribute Reduction of Formal Context Based on Concept Lattice.
FSKD (1)
Yuejin Lv, Hongmei Liu, Jinhai Li