Mudi Jiang

According to our database, Mudi Jiang authored at least 24 papers between 2022 and 2025.

Collaborative distances:

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

2025

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

Junjie Dong, Mudi Jiang, Lianyu Hu, Zengyou He

Data Min. Knowl. Discov., July, 2025

Two-cluster test.

Xinying Liu, Lianyu Hu, Mudi Jiang, Simeng Zhang, Jun Lou, Zengyou He

CoRR, July, 2025

Interpretable Clustering Ensemble.

Hang Lv, Lianyu Hu, Mudi Jiang, Xinying Liu, Zengyou He

CoRR, June, 2025

Clusterability test for categorical data.

Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, Zengyou He

Knowl. Inf. Syst., May, 2025

Clustering Categorical Data via Multiple Hypothesis Testing.

Lianyu Hu, Mudi Jiang, Yan Liu, Quan Zou, Zengyou He

ACM Trans. Knowl. Discov. Data, 2025

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

Tianyang Xing, Mudi Jiang, Zhi-gang Su, Jianqun Xu, Yajie Jing, Yuxiang Ma, Xiaoliang Zhu

IEEE Trans. Instrum. Meas., 2025

Interpretable multi-view clustering.

Mudi Jiang, Lianyu Hu, Zengyou He, Zhikui Chen

Pattern Recognit., 2025

Interpretable categorical data clustering via hypothesis testing.

Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He

Pattern Recognit., 2025

Significance-based decision tree for interpretable categorical data clustering.

Lianyu Hu, Mudi Jiang, Xinying Liu, Zengyou He

Inf. Sci., 2025

Community structure testing by counting frequent common neighbor sets.

Zengyou He, Xiaolei Li, Lianyu Hu, Mudi Jiang, Yan Liu

Inf. Sci., 2025

Conjunction subspaces test for conformal and selective classification.

Zengyou He, Zerun Li, Junjie Dong, Xinying Liu, Mudi Jiang, Lianyu Hu

Inf. Sci., 2025

Significance-based interpretable sequence clustering.

Zengyou He, Lianyu Hu, Jinfeng He, Junjie Dong, Mudi Jiang, Xinying Liu

Inf. Sci., 2025

Interpretable sequence clustering.

Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He

Inf. Sci., 2025

2024

Node Centrality Inference via Hypothesis Testing.

Zengyou He, Jun Lou, Yan Liu, Lianyu Hu, Mudi Jiang

Stat. Anal. Data Min., October, 2024

A randomized algorithm for clustering discrete sequences.

Mudi Jiang, Lianyu Hu, Xin Han, Yong Zhou, Zengyou He

Pattern Recognit., 2024

Random subsequence forests.

Zengyou He, Jiaqi Wang, Mudi Jiang, Lianyu Hu, Quan Zou

Inf. Sci., 2024

Interpretable Clustering: A Survey.

Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He

CoRR, 2024

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

Mudi Jiang, Tianyang Xing, Bin Han, Jianxin Qiao, Enrico Zio, Xiaoliang Zhu

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

2023

Random forest clustering for discrete sequences.

Mudi Jiang, Jiaqi Wang, Lianyu Hu, Zengyou He

Pattern Recognit. Lett., October, 2023

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

Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He

J. Informetrics, August, 2023

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

Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, Zengyou He

CoRR, 2023

Personalized Interpretable Classification.

Zengyou He, Yifan Tang, Lianyu Hu, Mudi Jiang, Yan Liu

CoRR, 2023

2022

Significance-Based Categorical Data Clustering.

Lianyu Hu, Mudi Jiang, Yan Liu, Zengyou He

CoRR, 2022

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

Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He

CoRR, 2022