Feijiang Li

Orcid: 0000-0003-3730-9602

According to our database1, Feijiang Li authored at least 16 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Deep Embedding Clustering Driven by Sample Stability.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Cross-Domain Contrastive Learning for Time Series Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation.
IEEE Trans. Fuzzy Syst., October, 2023

Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022
Clustering mixed type data: a space structure-based approach.
Int. J. Mach. Learn. Cybern., 2022

2021
Image deep clustering based on local-topology embedding.
Pattern Recognit. Lett., 2021

GoT: a Growing Tree Model for Clustering Ensemble.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fusing Fuzzy Monotonic Decision Trees.
IEEE Trans. Fuzzy Syst., 2020

Learning with mitigating random consistency from the accuracy measure.
Mach. Learn., 2020

2019
Clustering ensemble based on sample's stability.
Artif. Intell., 2019

Prototype Propagation Clustering Based on Large Margin.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Cluster's Quality Evaluation and Selective Clustering Ensemble.
ACM Trans. Knowl. Discov. Data, 2018

2017
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.
Inf. Sci., 2017

2016
Space Structure and Clustering of Categorical Data.
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).
计算机科学, 2015

2014
Set-based granular computing: A lattice model.
Int. J. Approx. Reason., 2014


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