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Feijiang Li
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2020 – today
- 2024
- [c5]Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li:
Cross-Domain Contrastive Learning for Time Series Clustering. AAAI 2024: 8921-8929 - [c4]Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian:
Deep Embedding Clustering Driven by Sample Stability. IJCAI 2024: 3854-3862 - [i1]Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian:
Deep Embedding Clustering Driven by Sample Stability. CoRR abs/2401.15989 (2024) - 2023
- [j12]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang:
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1798-1816 (2023) - [j11]Feijiang Li, Jieting Wang, Yuhua Qian, Guoqing Liu, Keqi Wang:
Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation. IEEE Trans. Fuzzy Syst. 31(10): 3610-3623 (2023) - 2022
- [j10]Feijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang:
Clustering mixed type data: a space structure-based approach. Int. J. Mach. Learn. Cybern. 13(9): 2799-2812 (2022) - 2021
- [j9]Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo:
Image deep clustering based on local-topology embedding. Pattern Recognit. Lett. 151: 88-94 (2021) - [c3]Feijiang Li, Yuhua Qian, Jieting Wang:
GoT: a Growing Tree Model for Clustering Ensemble. AAAI 2021: 8349-8356 - 2020
- [j8]Jieting Wang, Yuhua Qian, Feijiang Li:
Learning with mitigating random consistency from the accuracy measure. Mach. Learn. 109(12): 2247-2281 (2020) - [j7]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding:
Fusing Fuzzy Monotonic Decision Trees. IEEE Trans. Fuzzy Syst. 28(5): 887-900 (2020)
2010 – 2019
- 2019
- [j6]Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing:
Clustering ensemble based on sample's stability. Artif. Intell. 273: 37-55 (2019) - [c2]Feijiang Li, Yuhua Qian, Jieting Wang:
Prototype Propagation Clustering Based on Large Margin. ICDM Workshops 2019: 639-645 - 2018
- [j5]Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu:
Cluster's Quality Evaluation and Selective Clustering Ensemble. ACM Trans. Knowl. Discov. Data 12(5): 60:1-60:27 (2018) - 2017
- [j4]Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang:
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method. Inf. Sci. 378: 389-409 (2017) - 2016
- [j3]Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang:
Space Structure and Clustering of Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2047-2059 (2016) - 2015
- [j2]Honghong Cheng, Xiaoqin Zhang, Feijiang Li, Yuhua Qian:
一种对应约束的决策表属性约简算法 (Decision Table Attribute Reduction Algorithm Based on Correspondence Constraints). 计算机科学 42(6): 50-53 (2015) - [c1]Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang:
Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method. ICMLC 2015: 58-63 - 2014
- [j1]Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang:
Set-based granular computing: A lattice model. Int. J. Approx. Reason. 55(3): 834-852 (2014)
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last updated on 2024-10-21 21:26 CEST by the dblp team
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