The statistical nature of h-index of a network node. - Yan Liu 085; Mudi Jiang; Lianyu Hu 001; Zengyou He (CoRR, 2022)

Significance-Based Categorical Data Clustering. - Lianyu Hu 001; Mudi Jiang; Yan Liu 085; Zengyou He (CoRR, 2022)

Personalized Interpretable Classification. - Zengyou He; Yifan Tang; Lianyu Hu 001; Mudi Jiang; Yan Liu 085 (CoRR, 2023)

A testing-based approach to assess the clusterability of categorical data. - Lianyu Hu 001; Junjie Dong; Mudi Jiang; Yan Liu 085; Zengyou He (CoRR, 2023)

The statistical nature of h-index of a network node and its extensions. - Yan Liu 085; Mudi Jiang; Lianyu Hu 001; Zengyou He (J. Informetrics, 2023)

Random forest clustering for discrete sequences. - Mudi Jiang; Jiaqi Wang; Lianyu Hu 001; Zengyou He (Pattern Recognit. Lett., 2023)

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 (ICSRS, 2024)

Interpretable Clustering: A Survey. - Lianyu Hu 001; Mudi Jiang; Junjie Dong; Xinying Liu; Zengyou He (CoRR, 2024)

Random subsequence forests. - Zengyou He; Jiaqi Wang; Mudi Jiang; Lianyu Hu 001; Quan Zou 001 (Inf. Sci., 2024)

A randomized algorithm for clustering discrete sequences. - Mudi Jiang; Lianyu Hu 001; Xin Han; Yong Zhou; Zengyou He (Pattern Recognit., 2024)

Node Centrality Inference via Hypothesis Testing. - Zengyou He; Jun Lou; Yan Liu 085; Lianyu Hu 001; Mudi Jiang (Stat. Anal. Data Min., 2024)

Interpretable sequence clustering. - Junjie Dong; Xinyi Yang 006; Mudi Jiang; Lianyu Hu 001; Zengyou He (Inf. Sci., 2025)

Significance-based interpretable sequence clustering. - Zengyou He; Lianyu Hu 001; Jinfeng He; Junjie Dong; Mudi Jiang; Xinying Liu (Inf. Sci., 2025)

Conjunction subspaces test for conformal and selective classification. - Zengyou He; Zerun Li; Junjie Dong; Xinying Liu; Mudi Jiang; Lianyu Hu 001 (Inf. Sci., 2025)

Community structure testing by counting frequent common neighbor sets. - Zengyou He; Xiaolei Li; Lianyu Hu 001; Mudi Jiang; Yan Liu 085 (Inf. Sci., 2025)

Significance-based decision tree for interpretable categorical data clustering. - Lianyu Hu 001; Mudi Jiang; Xinying Liu; Zengyou He (Inf. Sci., 2025)

Interpretable categorical data clustering via hypothesis testing. - Lianyu Hu 001; Mudi Jiang; Junjie Dong; Xinying Liu; Zengyou He (Pattern Recognit., 2025)

Interpretable multi-view clustering. - Mudi Jiang; Lianyu Hu 001; Zengyou He; Zhikui Chen (Pattern Recognit., 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)

Clustering Categorical Data via Multiple Hypothesis Testing. - Lianyu Hu 001; Mudi Jiang; Yan Liu 085; Quan Zou 001; Zengyou He (ACM Trans. Knowl. Discov. Data, 2025)

Clusterability test for categorical data. - Lianyu Hu 001; Junjie Dong; Mudi Jiang; Yan Liu 085; Zengyou He (Knowl. Inf. Syst., 2025)

Interpretable Clustering Ensemble. - Hang Lv 013; Lianyu Hu 001; Mudi Jiang; Xinying Liu; Zengyou He (CoRR, 2025)

Two-cluster test. - Xinying Liu; Lianyu Hu 001; Mudi Jiang; Simeng Zhang; Jun Lou; Zengyou He (CoRR, 2025)

Hamming encoder: mining discriminative k-mers for discrete sequence classification. - Junjie Dong; Mudi Jiang; Lianyu Hu 001; Zengyou He (Data Min. Knowl. Discov., 2025)