Lianyu Hu
 |
Phd Student, |
About me
I received the M.Sc. degree in computer science from Ningbo University, China, in 2019. I am currently working toward a Ph.D. degree under the supervision of Prof. Zengyou He at Dalian University of Technology. My current research interests include machine learning and data mining.
Research
My research interests include:
Interpretable Machine Learning
Causal Inference
Biological Data Mining
Current work
Statistical Hypothesis Test
Cluster Analysis
Categorical Data
Interpretable Model
Under review
Zengyou He*, Zerun Li, Junjie Dong, Xinying Liu, Mudi Jiang, Lianyu Hu. "Conjunction Subspaces Test for Conformal and Selective Classification." [link]
Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He*. "Interpretable Clustering: A Survey." [link]
Mudi Jiang, Lianyu Hu, Zengyou He, Zhikui Chen*. "Interpretable Multi-View Clustering." [link]
Junjie Dong, Mudi Jiang, Lianyu Hu, and Zengyou He*. "Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification." [link]
Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, and Zengyou He*. "Clusterability test for categorical data." [link]
Zengyou He*, Yifan Tang, Lianyu Hu, Mudi Jiang, Yan Liu. "Personalized Interpretable Classification." [link]
Lianyu Hu, Mudi Jiang, Yan Liu, and Zengyou He*. "Significance-Based Categorical Data Clustering." [link]
Publications
Zengyou He, Jun Lou, Yan Liu*, Lianyu Hu, Mudi Jiang. "Node Centrality Inference via Hypothesis Testing." Statistical Analysis and Data Mining, 2024. [link]
Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He*. "Interpretable sequence clustering." Information Sciences, 2024. [link][code]
Zengyou He*, Jiaqi Wang, Mudi Jiang, Lianyu Hu, Quan Zou*. "Random subsequence forests." Information Sciences, 2024. [link][code]
Mudi Jiang, Lianyu Hu, Xin Han, Yong Zhou, and Zengyou He*. "A randomized algorithm for clustering discrete sequences." Pattern Recognition, 2024. [link][code]
Yan Liu, Xue Feng, Jun Lou, Lianyu Hu, and Zengyou He*. "Central node identification via weighted kernel density estimation." Data Mining and Knowledge Discovery, 2024. [link]
Mudi Jiang, Jiaqi Wang, Lianyu Hu, and Zengyou He*. "Random forest clustering for discrete sequences." Pattern Recognition Letters, 2023. [link]
Yan Liu, Mudi Jiang, Lianyu Hu, and Zengyou He*. "The statistical nature of h-index of a network node and its extensions." Journal of Informetrics, 2023. [link][pdf][code]
Yan Liu, Xiaoqi Wei, Wenfang Chen, Lianyu Hu, and Zengyou He*. "A graph-traversal approach to identify influential nodes in a network." Patterns, 2021. [link][pdf][code]
Caiming Zhong*, Lianyu Hu et al. "Ensemble clustering based on evidence extracted from the co-association matrix." Pattern Recognition, 2019. [link][pdf][code]
Lianyu Hu, and 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
Reviewer
IEEE Transactions on Knowledge and Data Engineering
IEEE Access