Mudi Jiang

Orcid: 0000-0001-9474-8375

According to our database¹, Mudi Jiang authored at least 32 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2026

Personalized interpretable classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., December, 2026

Interpretable Clustering: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., June, 2026

Interpretable Sequence Classification via Decision Set.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2026

Clustering With Multiview Explanations.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2026

Clusterability-Based Assessment of Potentially Noisy Views for Multi-View Clustering.

[BibT_eX]

[DOI]

CoRR, April, 2026

Clustering Validation via Sample Pair Co-Cluster Testing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2026

2025

Interpretable Fair Clustering.

[BibT_eX]

[DOI]

CoRR, November, 2025

Adversarial Fair Multi-View Clustering.

[BibT_eX]

[DOI]

CoRR, August, 2025

Hamming encoder: mining discriminative k-mers for discrete sequence classification.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., July, 2025

Two-cluster test.

[BibT_eX]

[DOI]

CoRR, July, 2025

Interpretable Clustering Ensemble.

[BibT_eX]

[DOI]

CoRR, June, 2025

Clusterability test for categorical data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., May, 2025

Clustering Categorical Data via Multiple Hypothesis Testing.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2025

Local Normal Space Alignment for Industrial Process Monitoring by Nonisotropic Condition Data.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Interpretable multi-view clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Interpretable categorical data clustering via hypothesis testing.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Significance-based decision tree for interpretable categorical data clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Community structure testing by counting frequent common neighbor sets.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Conjunction subspaces test for conformal and selective classification.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Significance-based interpretable sequence clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Interpretable sequence clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Statistical significance of cluster membership for categorical data.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

2024

Node Centrality Inference via Hypothesis Testing.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., October, 2024

A randomized algorithm for clustering discrete sequences.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Random subsequence forests.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Bayesian Deep Learning Framework with Variational Inference for Uncertainty Quantification in RUL Prediction.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on System Reliability and Safety, 2024

2023

Random forest clustering for discrete sequences.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., October, 2023

The statistical nature of h-index of a network node and its extensions.

[BibT_eX]

[DOI]

J. Informetrics, August, 2023

A testing-based approach to assess the clusterability of categorical data.

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Interpretable Classification.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Significance-Based Categorical Data Clustering.

[BibT_eX]

[DOI]

CoRR, 2022

The statistical nature of h-index of a network node.

[BibT_eX]

[DOI]

CoRR, 2022

Mudi Jiang

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On csauthors.net:

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