Feijiang Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Evidence Theory

Attribute Reduction Algorithm

Clustering Ensemble

Top Venues

IEEE Trans. Fuzzy Syst.

Publications

Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li
Cross-Domain Contrastive Learning for Time Series Clustering. AAAI (2024)
Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian
Deep Embedding Clustering Driven by Sample Stability. CoRR (2024)
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) (2023)
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) (2023)
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) (2022)
Feijiang Li, Yuhua Qian, Jieting Wang
GoT: a Growing Tree Model for Clustering Ensemble. AAAI (2021)
Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo
Image deep clustering based on local-topology embedding. Pattern Recognit. Lett. 151 (2021)
Jieting Wang, Yuhua Qian, Feijiang Li
Learning with mitigating random consistency from the accuracy measure. Mach. Learn. 109 (12) (2020)
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding
Fusing Fuzzy Monotonic Decision Trees. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing
Clustering ensemble based on sample's stability. Artif. Intell. 273 (2019)
Feijiang Li, Yuhua Qian, Jieting Wang
Prototype Propagation Clustering Based on Large Margin. ICDM Workshops (2019)
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) (2018)
Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method. Inf. Sci. 378 (2017)
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) (2016)
Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method. ICMLC (2015)
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) (2015)
Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang
Set-based granular computing: A lattice model. Int. J. Approx. Reason. 55 (3) (2014)