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ORCIDJinhai Li 0001
Person information
- affiliation: Kunming University of Science and Technology, Kunming, China
Other persons with the same name
- Jinhai Li — disambiguation page
- Jinhai Li 0002
![[0000-0001-7714-633X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7714-633X")
— Taizhou University, Taizhou, China - Jinhai Li 0003 — Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
- Jinhai Li 0004 — China Agricultural University, Beijing, China
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2020 – today
- 2026
[j75]Xiaoyuan Deng, Jinhai Li, Weiping Ding, Xizhao Wang:
Uncertain multi-conceptual information acquisition and fusion for hierarchical classification. Inf. Fusion 125: 103421 (2026)- [j74]Fan Song, Xiao Zhang, Jinhai Li, Changlin Mei:
A Locality-sensitive hashing based instance selection method with its application to acceleration of feature selection. Pattern Recognit. 172: 112390 (2026) - 2025
- [j73]Xiao Zhang, Jingjing Shen, Jinhai Li, Xia Liu:
An instance-oriented multi-source information fusion technique based on neighborhood granules. Appl. Soft Comput. 181: 113483 (2025) - [j72]Xinxin Tang, Mengyu Yan, Jinhai Li, Fei Hao:
Information fusion based conflict analysis model for multi-source fuzzy data. Int. J. Approx. Reason. 185: 109472 (2025) - [j71]Zhiming Liu, Jinhai Li, Xiao Zhang, Xizhao Wang:
Multi-level information fusion for missing multi-label learning based on stochastic concept clustering. Inf. Fusion 115: 102775 (2025) - [j70]Yuhao Dai, Mengyu Yan, Jinhai Li:
Granular concept-enhanced relational graph convolution networks for link prediction in knowledge graph. Inf. Sci. 694: 121698 (2025) - [j69]Junping Xie, Jing Yang, Jinhai Li, Mingwei He, Huaxiang Song:
Three-way concept lattice construction and association rule acquisition. Inf. Sci. 701: 121867 (2025) - [j68]Qiangqiang Chen, Mengyu Yan, Jinhai Li, Xizhao Wang:
Optimal meso-granularity selection for classification based on Bayesian optimization. Knowl. Based Syst. 318: 113552 (2025) - [j67]Kai Wu, Chao Zhang, Fei Hao, Jinhai Li, Qing Wan, Kyuwon Park, Xueyang Qin, Vincenzo Loia:
Fc-gcn: A formal concept-enhanced graph convolution network model. Soft Comput. 29(6): 2715-2725 (2025) - [j66]Kai Wu, Fei Hao, Ruoxia Yao, Jinhai Li, Geyong Min, Sergei O. Kuznetsov:
Traffic Prediction Based on Formal Concept-Enhanced Federated Graph Learning. IEEE Trans. Intell. Transp. Syst. 26(5): 6936-6948 (2025) - [j65]Zhiming Liu, Jinhai Li, Xiao Zhang, Xi-Zhao Wang:
Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy. IEEE Trans. Neural Networks Learn. Syst. 36(1): 393-406 (2025) - 2024
- [j64]Sunqian Shi, Mengyu Yan, Jinhai Li:
Overlapping Community Detection Based on Weak Equiconcept. IEEE Access 12: 42147-42162 (2024) - [j63]Fei Wang, Jinhai Li, Chongchong Yu:
Optimal scale selection approach for classification based on generalized multi-scale formal context. Appl. Soft Comput. 152: 111277 (2024) - [j62]Junping Xie, Jing Yang, Jinhai Li, Debby D. Wang:
An efficient method of renewing object-induced three-way concept lattices involving decreasing attribute-granularity levels. Int. J. Approx. Reason. 164: 109083 (2024) - [j61]Huilai Zhi, Jinhai Li:
Component similarity based conflict analysis: An information fusion viewpoint. Inf. Fusion 104: 102157 (2024) - [j60]Hongxia Dou, Shen Li, Jinhai Li:
Three-way conflict analysis model under agent-agent mutual selection environment. Inf. Sci. 673: 120718 (2024) - [j59]Jiaojiao Niu, Degang Chen, Yinglong Ma, Jinhai Li:
The concept information of graph granule with application to knowledge graph embedding. Int. J. Mach. Learn. Cybern. 15(12): 5595-5606 (2024) - [j58]Xiao Zhang, Zhaoqian He, Jinhai Li, Changlin Mei, Yanyan Yang:
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree. IEEE Trans. Big Data 10(4): 415-428 (2024) - [j57]Xiaoyuan Deng, Jinhai Li, Yuhua Qian, Junmin Liu:
An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2417-2432 (2024) - [j56]Xiao Zhang, Yijing Liu, Jinhai Li, Changlin Mei:
FGRBC: A Novel Fuzzy Granular Rule-Based Classifier Using the Justifiable Granularity Principle and a Fusion Strategy. IEEE Trans. Fuzzy Syst. 32(12): 7096-7108 (2024) - 2023
- [j55]Min Fan, Shan Luo, Jinhai Li:
Network rule extraction under the network formal context based on three-way decision. Appl. Intell. 53(5): 5126-5145 (2023) - [j54]Yingsheng Chen, Jinhai Li, Jinjin Li, Dongxiao Chen, Rongde Lin:
Sequential 3WD-based local optimal scale selection in dynamic multi-scale decision information systems. Int. J. Approx. Reason. 152: 221-235 (2023) - [j53]Jinhai Li, Ye Feng:
Update of optimal scale in dynamic multi-scale decision information systems. Int. J. Approx. Reason. 152: 310-324 (2023) - [j52]Weizhi Wu, Dongran Niu, Jinhai Li, Tong-Jun Li:
Rule acquisition in generalized multi-scale information systems with multi-scale decisions. Int. J. Approx. Reason. 154: 56-71 (2023) - [j51]Keyi Guo, Jinhai Li, Xiao Zhang:
Notes on the improvement of concept-cognitive learning accuracy. Int. J. Approx. Reason. 156: 77-96 (2023) - [j50]Weilin Shen, Junmin Liu, Jinhai Li, Chao Tian:
Deep Tensor Attention Prior Network for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6448-6462 (2023) - [j49]Xiao Zhang, Changlin Mei, Jinhai Li, Yanyan Yang, Ting Qian:
Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction. IEEE Trans. Fuzzy Syst. 31(6): 1981-1994 (2023) - 2022
- [j48]Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang:
A dynamic rule-based classification model via granular computing. Inf. Sci. 584: 325-341 (2022) - [j47]Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian:
Fusing attribute reduction accelerators. Inf. Sci. 587: 354-370 (2022) - [j46]Yingsheng Chen, Jinhai Li, Jinjin Li, Rongde Lin, Dongxiao Chen:
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. 13(5): 1505-1515 (2022) - [j45]Yunlong Mi, Yong Shi, Jinhai Li, Wenqi Liu, Mengyu Yan:
Fuzzy-Based Concept Learning Method: Exploiting Data With Fuzzy Conceptual Clustering. IEEE Trans. Cybern. 52(1): 582-593 (2022) - [j44]Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang:
Fuzzy Rule-Based Classification Method for Incremental Rule Learning. IEEE Trans. Fuzzy Syst. 30(9): 3748-3761 (2022) - [j43]Huilai Zhi, Jinhai Li, Yinan Li:
Multilevel Conflict Analysis Based on Fuzzy Formal Contexts. IEEE Trans. Fuzzy Syst. 30(12): 5128-5142 (2022) - [j42]Yunlong Mi, Wenqi Liu, Yong Shi, Jinhai Li:
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space. IEEE Trans. Knowl. Data Eng. 34(5): 2429-2442 (2022) - 2021
- [j41]Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian:
Accelerator for crosswise computing reduct. Appl. Soft Comput. 98: 106740 (2021) - [j40]Aswani Kumar Cherukuri, Radhika Shivhare, Ajith Abraham, Jinhai Li, Annapurna Jonnalagadda:
A Pragmatic Approach to Understand Hebbian Cell Assembly. Int. J. Cogn. Informatics Nat. Intell. 15(2): 73-95 (2021) - [j39]Bo Yang, Jinhai Li:
Self-questioning dynamical evolutionary game with altruistic behavior and sharing mechanism in scale-free network. Int. J. Mach. Learn. Cybern. 12(8): 2317-2325 (2021) - [j38]Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu:
Concept-Cognitive Learning Model for Incremental Concept Learning. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 809-821 (2021) - 2020
- [j37]Xizhao Wang, Jinhai Li:
New advances in three-way decision, granular computing and concept lattice. Int. J. Mach. Learn. Cybern. 11(5): 945-946 (2020) - [j36]Bo Yang, Jinhai Li:
Complex network analysis of three-way decision researches. Int. J. Mach. Learn. Cybern. 11(5): 973-987 (2020) - [j35]Xiao Zhang, Changlin Mei, Degang Chen, Yanyan Yang, Jinhai Li:
Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy. IEEE Trans. Fuzzy Syst. 28(5): 901-915 (2020)
2010 – 2019
- 2019
- [j34]Huilai Zhi, Jinhai Li:
Granule description based knowledge discovery from incomplete formal contexts via necessary attribute analysis. Inf. Sci. 485: 347-361 (2019) - [j33]Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu:
Concurrent concept-cognitive learning model for classification. Inf. Sci. 496: 65-81 (2019) - [j32]Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu:
Neighborhood attribute reduction: a multi-criterion approach. Int. J. Mach. Learn. Cybern. 10(4): 731-742 (2019) - 2018
- [j31]Junping Xie, Minhua Yang, Jinhai Li, Zhong Zheng:
Rule acquisition and optimal scale selection in multi-scale formal decision contexts and their applications to smart city. Future Gener. Comput. Syst. 83: 564-581 (2018) - [j30]Yanhong She, Xiaoli He, Yuhua Qian, Weihua Xu, Jinhai Li:
A quantitative approach to reasoning about incomplete knowledge. Inf. Sci. 451-452: 100-111 (2018) - [j29]Xizhao Wang, Jinhai Li:
Three-way decisions, concept lattice and granular computing: Editorial. Int. J. Mach. Learn. Cybern. 9(11): 1765-1766 (2018) - [i1]Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li:
A generalized concept-cognitive learning: A machine learning viewpoint. CoRR abs/1801.02334 (2018) - 2017
- [j28]K. Sumangali, Cherukuri Aswani Kumar, Jinhai Li:
Concept Compression in Formal Concept Analysis Using Entropy-Based Attribute Priority. Appl. Artif. Intell. 31(3): 251-278 (2017) - [j27]Radhika Shivhare, Aswani Kumar Cherukuri, Jinhai Li:
Establishment of Cognitive Relations Based on Cognitive Informatics. Cogn. Comput. 9(5): 721-729 (2017) - [j26]Jinhai Li, Chenchen Huang, Changlin Mei, Yunqiang Yin:
An intensive study on rule acquisition in formal decision contexts based on minimal closed label concept lattices. Intell. Autom. Soft Comput. 23(3): 519-533 (2017) - [j25]Jinhai Li, Cherukuri Aswani Kumar, Changlin Mei, Xizhao Wang:
Comparison of reduction in formal decision contexts. Int. J. Approx. Reason. 80: 100-122 (2017) - [j24]Chenchen Huang, Jinhai Li, Changlin Mei, Wei-Zhi Wu:
Three-way concept learning based on cognitive operators: An information fusion viewpoint. Int. J. Approx. Reason. 83: 218-242 (2017) - [j23]Jinhai Li, Chenchen Huang, Jianjun Qi, Yuhua Qian, Wenqi Liu:
Three-way cognitive concept learning via multi-granularity. Inf. Sci. 378: 244-263 (2017) - [j22]Chen Hao, Jinhai Li, Min Fan, Wenqi Liu, Eric C. C. Tsang:
Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions. Inf. Sci. 415: 213-232 (2017) - [j21]Weihua Xu, Jinhai Li, Mingwen Shao, Wen-Xiu Zhang:
Editorial. Int. J. Mach. Learn. Cybern. 8(1): 1-2 (2017) - [j20]Yingxiu Zhao, Jinhai Li, Wenqi Liu, Weihua Xu:
Cognitive concept learning from incomplete information. Int. J. Mach. Learn. Cybern. 8(1): 159-170 (2017) - [j19]Prem Kumar Singh, Aswani Kumar Cherukuri, Jinhai Li:
Concepts reduction in formal concept analysis with fuzzy setting using Shannon entropy. Int. J. Mach. Learn. Cybern. 8(1): 179-189 (2017) - [c6]Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen:
Attribute Reduction: An Ensemble Strategy. IJCRS (1) 2017: 362-375 - [c5]Lidong Wang, Xiaodong Liu, Jinhai Li:
AFS-Based Formal Concept Analysis on Multi-valued Context. IJCRS (2) 2017: 540-557 - 2016
- [j18]Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibei Yang:
A comparative study of multigranulation rough sets and concept lattices via rule acquisition. Knowl. Based Syst. 91: 152-164 (2016) - [j17]Huilai Zhi, Jinhai Li:
Granule description based on formal concept analysis. Knowl. Based Syst. 104: 62-73 (2016) - [j16]Yaqiang Tang, Min Fan, Jinhai Li:
An information fusion technology for triadic decision contexts. Int. J. Mach. Learn. Cybern. 7(1): 13-24 (2016) - [j15]Caiping Li, Jinhai Li, Miao He:
Concept lattice compression in incomplete contexts based on K-medoids clustering. Int. J. Mach. Learn. Cybern. 7(4): 539-552 (2016) - [j14]Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li:
Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy. Pattern Recognit. 56: 1-15 (2016) - [j13]Prem Kumar Singh, Cherukuri Aswani Kumar, Jinhai Li:
Knowledge representation using interval-valued fuzzy formal concept lattice. Soft Comput. 20(4): 1485-1502 (2016) - 2015
- [j12]Jinhai Li, Changlin Mei, Lidong Wang, Junhong Wang:
On inference rules in decision formal contexts. Int. J. Comput. Intell. Syst. 8(1): 175-186 (2015) - [j11]Jinhai Li, Changlin Mei, Weihua Xu, Yuhua Qian:
Concept learning via granular computing: A cognitive viewpoint. Inf. Sci. 298: 447-467 (2015) - [j10]Yanhong She, Jinhai Li, Hailong Yang:
A local approach to rule induction in multi-scale decision tables. Knowl. Based Syst. 89: 398-410 (2015) - [c4]Jinhai Li, Chenchen Huang, Weihua Xu, Yuhua Qian, Wenqi Liu:
Cognitive concept learning via granular computing for big data. ICMLC 2015: 289-294 - 2014
- [j9]Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li:
Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems. Int. J. Approx. Reason. 55(8): 1787-1804 (2014) - [j8]Jinhai Li, Changlin Mei, Junhong Wang, Xiao Zhang:
Rule-preserved object compression in formal decision contexts using concept lattices. Knowl. Based Syst. 71: 435-445 (2014) - 2013
- [j7]Jinhai Li, Changlin Mei, Yuejin Lv:
Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction. Int. J. Approx. Reason. 54(1): 149-165 (2013) - [j6]Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li:
Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization. Knowl. Based Syst. 50: 187-197 (2013) - [j5]Jinhai Li, Changlin Mei, Cherukuri Aswani Kumar, Xiao Zhang:
On rule acquisition in decision formal contexts. Int. J. Mach. Learn. Cybern. 4(6): 721-731 (2013) - [c3]Jinhai Li, Junhong Wang, Changlin Mei, Xiao Zhang:
Weakly closed label concept lattice and its application to rule acquisition in decision formal contexts. ICMLC 2013: 658-663 - 2012
- [j4]Jinhai Li, Changlin Mei, Yuejin Lv:
Knowledge reduction in formal decision contexts based on an order-preserving mapping. Int. J. Gen. Syst. 41(2): 143-161 (2012) - [j3]Jinhai Li, Changlin Mei, Yuejin Lv:
Knowledge reduction in real decision formal contexts. Inf. Sci. 189: 191-207 (2012) - [c2]Jinhai Li, Changlin Mei, Yuejin Lv, Xiao Zhang:
A Heuristic Knowledge Reduction Algorithm for Real Decision Formal Contexts. RSCTC 2012: 303-312 - 2011
- [j2]Jinhai Li, Changlin Mei, Yuejin Lv:
A heuristic knowledge-reduction method for decision formal contexts. Comput. Math. Appl. 61(4): 1096-1106 (2011) - [j1]Jinhai Li, Changlin Mei, Yuejin Lv:
Knowledge reduction in decision formal contexts. Knowl. Based Syst. 24(5): 709-715 (2011)
2000 – 2009
- 2009
- [c1]Yuejin Lv, Hongmei Liu, Jinhai Li:
Attribute Reduction of Formal Context Based on Concept Lattice. FSKD (1) 2009: 576-580
Coauthor Index
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