Xiang-Zhen Kong

31 papers Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Scalable and Unified Hierarchical Coarsening Hypergraph Framework for Single-Cell Multi-Omics Data Analysis. BIBM Ke-Ze Yu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang
2023	J	`jnl`	A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang
2023	—	`conf`	CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification. ISBRA Tai-Ge Wang, Xiang-Zhen Kong, Shengjun Li, Juan Wang
2023	—	`conf`	Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis. ICIC (3) Yi-Ming Wang, Xiang-Zhen Kong, Boxin Guan, Chun-Hou Zheng, Ying-Lian Gao
2022	J	`jnl`	A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong
2022	J	`jnl`	Machine learning of large-scale multimodal brain imaging data reveals neural correlates of hand preference. NeuroImage Pattarawat Chormai, Yi Pu, Haoyu Hu, Simon E. Fisher, Clyde Francks, Xiang-Zhen Kong
2022	J	`jnl`	Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. IEEE J. Biomed. Health Informatics Juan Wang, Li-Hong Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shengjun Li
2022	J	`jnl`	NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. IEEE Trans. Cybern. Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2022	J	`jnl`	Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework. IEEE ACM Trans. Comput. Biol. Bioinform. Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng
2022	J	`jnl`	Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. J. Bioinform. Comput. Biol. Hang-Jin Yang, Yuxia Lei, Juan Wang, Xiang-Zhen Kong, Jin-Xing Liu, Ying-Lian Gao
2022	J	`jnl`	Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng
2021	J	`jnl`	Development of navigation network revealed by resting-state and task-state functional connectivity. NeuroImage Xin Hao, Taicheng Huang, Yiying Song, Xiang-Zhen Kong, Jia Liu
2021	—	`conf`	Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification. ICIC (2) Zhen-Xin Niu, Liang-Rui Ren, Rong Zhu, Xiang-Zhen Kong, Ying-Lian Gao, Jin-Xing Liu
2021	J	`jnl`	Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification. Knowl. Based Syst. Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2021	—	`conf`	Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. BIBM Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu
2021	J	`jnl`	WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics Jin-Xing Liu, Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong
2020	J	`jnl`	L Comput. Biol. Chem. Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong
2020	—	`conf`	Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. BIBM Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong
2020	J	`jnl`	MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. BMC Bioinform. Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu
2020	—	`conf`	Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. ICIC (2) Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2020	—	`conf`	Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. BIBM Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yuxia Lei, Junliang Shang, Xiang-Zhen Kong
2020	—	`conf`	Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM Yu-Ying Zhao, Maoli Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong
2019	J	`jnl`	A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen
2019	J	`jnl`	An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis. IEEE Access Ying-Lian Gao, Mi-Xiao Hou, Jin-Xing Liu, Xiang-Zhen Kong
2019	—	`conf`	DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile. IDMB Meng-Meng Yin, Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	—	`conf`	Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection. IDMB Cui-Na Jiao, Tian-Ru Wu, Jin-Xing Liu, Xiang-Zhen Kong
2017	J	`jnl`	Sex-linked association between cortical scene selectivity and navigational ability. NeuroImage Xiang-Zhen Kong, Yi Huang, Xin Hao, Siyuan Hu, Jia Liu
2015	J	`jnl`	Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas. NeuroImage Zonglei Zhen, Zetian Yang, Lijie Huang, Xiang-Zhen Kong, Xu Wang, Xiaobin Dang, Yangyue Huang, Yiying Song, Jia Liu
2012	J	`jnl`	Characterization, ecological and health risks of DDTs and HCHs in water from a large shallow Chinese lake. Ecol. Informatics Wei He, Ning Qin, Qi-Shuang He, Yan Wang, Xiang-Zhen Kong, Fu-Liu Xu