Mudi Jiang

Orcid: 0000-0001-9474-8375

According to our database¹, Mudi Jiang authored at least 16 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

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On csauthors.net:

Bibliography

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

Interpretable sequence clustering.

[BibT_eX]

[DOI]

Inf. Sci., 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

Conjunction Subspaces Test for Conformal and Selective Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Interpretable Clustering: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Interpretable Multi-View Clustering.

[BibT_eX]

[DOI]

CoRR, 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

Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification.

[BibT_eX]

[DOI]

CoRR, 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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