Feijiang Li

According to our database, Feijiang Li authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

Deep Embedding Clustering Driven by Sample Stability.

Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian

CoRR, 2024

Cross-Domain Contrastive Learning for Time Series Clustering.

Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation.

Feijiang Li, Jieting Wang, Yuhua Qian, Guoqing Liu, Keqi Wang

IEEE Trans. Fuzzy Syst., October, 2023

Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning.

Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

Clustering mixed type data: a space structure-based approach.

Feijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang

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

2021

Image deep clustering based on local-topology embedding.

Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo

Pattern Recognit. Lett., 2021

GoT: a Growing Tree Model for Clustering Ensemble.

Feijiang Li, Yuhua Qian, Jieting Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fusing Fuzzy Monotonic Decision Trees.

Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding

IEEE Trans. Fuzzy Syst., 2020

Learning with mitigating random consistency from the accuracy measure.

Jieting Wang, Yuhua Qian, Feijiang Li

Mach. Learn., 2020

2019

Clustering ensemble based on sample's stability.

Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing

Artif. Intell., 2019

Prototype Propagation Clustering Based on Large Margin.

Feijiang Li, Yuhua Qian, Jieting Wang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Cluster's Quality Evaluation and Selective Clustering Ensemble.

Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu

ACM Trans. Knowl. Discov. Data, 2018

2017

Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.

Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang

Inf. Sci., 2017

2016

Space Structure and Clustering of Categorical Data.

Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

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).

Honghong Cheng, Xiaoqin Zhang, Feijiang Li, Yuhua Qian

计算机科学, 2015

2014

Set-based granular computing: A lattice model.

Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang

Int. J. Approx. Reason., 2014