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Lianyu Hu

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Lecturer
College of Information Science and Engineering,
Henan University of Technology.
Zhengzhou, China
E-mail: hly4ml@gmail.com

About me

I received my Ph.D. degree in Software Engineering from Dalian University of Technology, China, in June 2025, supervised by Prof. Zengyou He. Previously, I obtained my M.Sc. degree in Computer Science from Ningbo University, China, in 2019.
My research interests include Machine Learning, Data Mining, and Trustworthy AI.

Research

Funding

  • Trustworthy Clustering Analysis, National Natural Science Foundation of China (NSFC), 2027—2029.

Current Work

Under Review

  1. Lianyu Hu, Mudi Jiang, Yan Liu, Zengyou He*. "Significance-Based Categorical Data Clustering." [link]

  2. Xinying Liu, Lianyu Hu, Mudi Jiang, Simeng Zhang, Jun Lou, Zengyou He*. "Two-cluster test." [link]

  3. Hang Lv, Lianyu Hu, Mudi Jiang, Xinying Liu, Zengyou He*. "Interpretable Clustering Ensemble." [link]

Selected Publications

  1. Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He*. "Interpretable Clustering: A Survey." ACM Computing Surveys (Impact Factor: 30.4, ranked 1/146 in Computer Science Theory & Methods), 2026.
    [link][awesome]✨[Interpretable Clustering Repository]

  2. Lianyu Hu, Mudi Jiang, Yan Liu, Quan Zou, Zengyou He*. "Clustering Categorical Data via Multiple Hypothesis Testing." ACM Transactions on Knowledge Discovery from Data, 2025.
    [link][pdf][code][showcase]

  3. Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He*. "Interpretable categorical data clustering via hypothesis testing." Pattern Recognition, 2025.
    [link][pdf][code]

  4. Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, Zengyou He*. "Clusterability test for categorical data." Knowledge and Information Systems, 2025.
    [link][pdf][code][showcase]

  5. Lianyu Hu, Mudi Jiang, Xinying Liu, Zengyou He*. "Significance-based decision tree for interpretable categorical data clustering." Information Sciences, 2025.
    [link][pdf][code]

  6. Lianyu Hu, Zerun Li, Junjie Dong, Mudi Jiang, Zengyou He*. "Statistical significance of cluster membership for categorical data." Engineering Applications of Artificial Intelligence, 2025.
    [link][pdf][code]

  7. Zengyou He*, Lianyu Hu, Jinfeng He, Junjie Dong, Mudi Jiang, Xinying Liu. "Significance-based interpretable sequence clustering." Information Sciences, 2025.
    [link][pdf][code]

  8. Caiming Zhong*, Lianyu Hu, Xiaodong Yue et al. "Ensemble clustering based on evidence extracted from the co-association matrix" Pattern Recognition, 2019.
    [link][pdf][code]

Other Publications

  1. Jingwen Chen, Lianyu Hu, Xinying Liu, Mudi Jiang, Simeng Zhang, Jun Lou, Zengyou He*. "Clustering with Multiview Explanations." IEEE Transactions on Knowledge and Data Engineering, 2026. [link]

  2. Pengju Li, Junjie Dong, Mudi Jiang, Xinying Liu, Lianyu Hu, Zengyou He*. "Interpretable Sequence Classification via Decision Set." IEEE Transactions on Knowledge and Data Engineering, 2026. [link][code]

  3. Xinying Liu, Lianyu Hu, Mudi Jiang, Zengyou He*. "Clustering Validation Via Sample Pair Co-Cluster Testing." IEEE Transactions on Knowledge and Data Engineering, 2026. [link]

  4. Mudi Jiang, Jiahui Zhou, Lianyu Hu, Xinying Liu, Zengyou He, Zhikui Chen*. "Adversarial Fair Multi-View Clustering." Pattern Recognition, 2026. [link][code]

  5. Yushuang Liu, Pengju Li, Junjie Dong, Mudi Jiang, Xinying Liu, Lianyu Hu, Zengyou He*. "Rule-based interpretable sequence clustering." Knowledge and Information Systems, 2026. [link]

  6. Zengyou He*, Pengju Li, Yifan Tang, Lianyu Hu, Mudi Jiang, Yan Liu. "Personalized Interpretable Classification." Knowledge and Information Systems, 2026. [link]

  7. Xiaoxuan Sun, Zengyou He*, Xinying Liu, Mudi Jiang, Lianyu Hu. "Prototype-based interpretable community detection." Chaos, Solitons & Fractals, 2026. [link][code]

  8. Jingyu Xie, Caiming Zhong*, Yu Tian, Lianyu Hu, Tiejun Pan. "Robust density clustering based on density peak regions and K-nearest neighbors." Pattern Recognition, 2026. [link][code]

  9. Junjie Dong, Mudi Jiang, Lianyu Hu, Zengyou He*. "Hamming encoder: mining discriminative k-mers for discrete sequence classification." Data Mining and Knowledge Discovery, 2025. [link][code]

  10. Xiaoxuan Sun, Lianyu Hu, Xinying Liu, Mudi Jiang, Yan Liu, Zengyou He*. "Explainable community detection." Chaos, Solitons & Fractals, 2025. [link][code]

  11. Zengyou He*, Zerun Li, Junjie Dong, Xinying Liu, Mudi Jiang, Lianyu Hu. "Conjunction subspaces test for conformal and selective classification." Information Sciences, 2025. [link][code]

  12. Mudi Jiang, Lianyu Hu, Zengyou He, Zhikui Chen*. "Interpretable multi-view clustering." Pattern Recognition, 2025. [link]

  13. Hailu Tan, Yan Liu, Xinying Liu, Lianyu Hu, Zengyou He*. "Interpretable link prediction." Chaos, Solitons & Fractals, 2025. [link][code]

  14. Zengyou He*, Xiaolei Li, Lianyu Hu, Mudi Jiang, Yan Liu. "Community structure testing by counting frequent common neighbor sets." Information Sciences, 2025. [link][code]

  15. Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He*. "Interpretable sequence clustering." Information Sciences, 2025. [link][code]

  16. Zengyou He, Jun Lou, Yan Liu*, Lianyu Hu, Mudi Jiang. "Node Centrality Inference via Hypothesis Testing." Statistical Analysis and Data Mining (American Statistical Association), 2024. [link]

  17. Zengyou He*, Jiaqi Wang, Mudi Jiang, Lianyu Hu, Quan Zou*. "Random subsequence forests." Information Sciences, 2024. [link][code]

  18. Mudi Jiang, Lianyu Hu, Xin Han, Yong Zhou, Zengyou He*. "A randomized algorithm for clustering discrete sequences." Pattern Recognition, 2024. [link][code]

  19. Yan Liu, Xue Feng, Jun Lou, Lianyu Hu, Zengyou He*. "Central node identification via weighted kernel density estimation." Data Mining and Knowledge Discovery, 2024. [link]

  20. Mudi Jiang, Jiaqi Wang, Lianyu Hu, Zengyou He*. "Random forest clustering for discrete sequences." Pattern Recognition Letters, 2023. [link]

  21. Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He*. "The statistical nature of h-index of a network node and its extensions." Journal of Informetrics, 2023. [link][pdf][code]

  22. Yan Liu, Xiaoqi Wei, Wenfang Chen, Lianyu Hu, Zengyou He*. "A graph-traversal approach to identify influential nodes in a network." Patterns (Cell Press), 2021. [link][pdf][code]

  23. Lianyu Hu, Caiming Zhong*. "An internal validity index based on density-involved distance." IEEE Access, 2019.
    [link][pdf][code]

Note: * indicates the corresponding author.

Full list of publications in Google Scholar.

Academic Service

Journal Reviewer (Selected journals in Data Mining and AI)

More details in Publons

Conference PC Member