Feijiang Li

Orcid: 0000-0003-3730-9602

According to our database¹, Feijiang Li authored at least 26 papers between 2014 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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On csauthors.net:

Bibliography

2026

A dual mixture-of-experts framework for multi-view K-means clustering with view balance and regional sparsity.

[BibT_eX]

[DOI]

Inf. Fusion, 2026

2025

Hybrid Causal Identification and Causal Mechanism Clustering.

[BibT_eX]

[DOI]

CoRR, July, 2025

Ranked Set Sampling-Based Multilayer Perceptron: Improving Generalization via Variance-Based Bounds.

[BibT_eX]

[DOI]

CoRR, July, 2025

RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2025

k-HyperEdge Medoids for Clustering Ensemble.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion.

[BibT_eX]

[DOI]

CoRR, 2024

Neural Collapse To Multiple Centers For Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Deep Embedding Clustering Driven by Sample Stability.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Cross-Domain Contrastive Learning for Time Series Clustering.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., October, 2023

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

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

2021

Image deep clustering based on local-topology embedding.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

GoT: a Growing Tree Model for Clustering Ensemble.

[BibT_eX]

[DOI]

Feijiang Li

Yuhua Qian

Jieting Wang

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

2020

Fusing Fuzzy Monotonic Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Learning with mitigating random consistency from the accuracy measure.

[BibT_eX]

[DOI]

Jieting Wang

Yuhua Qian

Feijiang Li

Mach. Learn., 2020

2019

Clustering ensemble based on sample's stability.

[BibT_eX]

[DOI]

Artif. Intell., 2019

Prototype Propagation Clustering Based on Large Margin.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

2017

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

[BibT_eX]

[DOI]

Inf. Sci., 2017

2016

Space Structure and Clustering of Categorical Data.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2015

2014

Set-based granular computing: A lattice model.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Feijiang Li

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