Ming-Juan Wu

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 7

Top Topics

High Dimensionality

Principal Component Analysis

Feature Selection

Matrix Factorization

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE Trans. Cybern.

IEEE J. Biomed. Health Informatics

Publications

Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Chuan-Yuan Wang, Na Yu, Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. 51 (8) (2021)
Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Ya-Li Zhu, Ming-Juan Wu, Chuan-Yuan Wang, Yue Hu, Jin-Xing Liu
Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data. BIC-TA (2020)
Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. BIBM (2017)
Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM (2017)