| 1 |
A multi-view classification and feature selection method via sparse low-rank regression analysis
|
期刊论文 |
Lu Yao;Gao Ying-Lian;Li Pei-Yong;Liu Jin-Xing |
| 2 |
Supervised Discriminative Sparse PCA for Corn-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
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期刊论文 |
Chun-Mei Feng;Yong Xu;Jin-Xing Liu;Ying-Lian Gao;Chun-Hou Zheng |
| 3 |
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis
|
期刊论文 |
Chu He-Ming;Liu Jin-Xing;Zhang Ke;Zheng Chun-Hou;Wang Juan;Kong Xiang-Zhen |
| 4 |
2020山东省优秀硕士学位论文
|
奖励 |
侯米潇;刘金星（指导教师） |
| 5 |
2020山东省研究生优秀科研创新成果奖(二等奖)
|
奖励 |
王传远;任良瑞;高明明;刘金星（指导教师） |
| 6 |
Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification
|
会议论文 |
Niu Zhen-Xin;Ren Liang-Rui;Zhu Rong;Kong Xiang-Zhen;Gao Ying-Lian;Liu Jin-Xing |
| 7 |
Adaptive total-variation joint learning model for analyzing single cell RNA seq data
|
会议论文 |
Dai-Jun Zhang;Jing-Xiu Zhao;Jin-Xing Liu;Ying-Lian Gao |
| 8 |
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data
|
会议论文 |
Yang Hang-Jin;Zhao Yu-Ying;Liu Jin-Xing;Lei Yu-Xia;Shang Jun-Liang;Kong Xiang-Zhen |
| 9 |
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification
|
会议论文 |
Zhi-Yuan Li;Ying-Lian Gao;Zhen-Xin Niu;Sha-Sha Yuan;Chun-Hou Zheng;Jin-Xing Liu |
| 10 |
Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data
|
会议论文 |
Zhu Ya-Li;Wu Ming-Juan;Wang Chuan-Yuan;Hu Yue;Liu Jin-Xing |
| 11 |
L-2,L-1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions
|
期刊论文 |
Zhen Cui;Ying-Lian Gao;Jin-Xing Liu;Ling-Yun Dai;Sha-Sha Yuan |
| 12 |
Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data
|
期刊论文 |
Na Yu;Ying-Lian Gao;Jin-Xing Liu;Juan Wang;Junliang Shang |
| 13 |
基于整合非负矩阵分解的样本聚类和特征识别方法
|
专利 |
代凌云;刘金星;郑春厚 |
| 14 |
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints
|
期刊论文 |
Na-Na Zhang;Jin-Xing Liu;Chun-Hou Zheng;Juan Wang |
| 15 |
Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection
|
期刊论文 |
Yong-Jing Hao;Ying-Lian Gao;Mi-Xiao Hou;Ling-Yun Dai;Jin-Xing Liu |
| 16 |
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations
|
期刊论文 |
Jin-Xing Liu;Zhen Cui;Ying-Lian Gao;Xiang-Zhen Kong |
| 17 |
LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring
|
期刊论文 |
Cui Zhen;Liu Jin-Xing;Gao Ying-Lian;Zhu Rong;Yuan Sha-Sha |
| 18 |
Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification
|
期刊论文 |
Zhen-Xin Niu;Cui-Na Jiao;Liang-Rui Ren;Rong Zhu;Juan Wang;Jin-Xing Liu |
| 19 |
Dual-network sparse graph regularized matrix factorization for predicting miRNA-disease associations
|
期刊论文 |
Ming-Ming Gao;Zhen Cui;Ying-Lian Gao;Jin-Xing Liu;Chun-Hou Zheng |
| 20 |
Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification
|
期刊论文 |
Jiao Cui-Na;Gao Ying-Lian;Yu Na;Liu Jin-Xing;Qi Lian-Yong |
| 21 |
Multi-label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations
|
期刊论文 |
Ming-Ming Gao;Zhen Cui;Ying-Lian Gao;Juan-Wang Wang;Jin-Xing Liu |
| 22 |
LJELSR: A Strengthened Version of JELSR for Feature Selection and Clustering
|
期刊论文 |
Sha-Sha Wu;Mi-Xiao Hou;Chun-Mei Feng;Jin-Xing Liu |
| 23 |
Similarity and Dissimilarity Regularized Nonnegative Matrix Factorization for Single-Cell RNA-seq Analysis
|
期刊论文 |
Zhu Ya-Li;Yuan Sha-Sha;Liu Jin-Xing |
| 24 |
Principal Component Analysis Based on Graph Laplacian and Double Sparse Constraints for Feature Selection and Sample Clustering on Multi-View Data
|
期刊论文 |
Ming-Juan Wu;Ying-Lian Gao;Jin-Xing Liu;Rong Zhu;Juan Wang |
| 25 |
An integrated robust graph regularized non-negative matrix factorization for multi-dimensional genomic data analysis
|
会议论文 |
Hao Yong-Jing;Hou Mi-Xiao;Zhu Rong;Liu Jin-Xing |
| 26 |
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations
|
期刊论文 |
Zhou Feng;Yin Meng-Meng;Jiao Cui-Na;Cui Zhen;Zhao Jing-Xiu;Liu Jin-Xing |
| 27 |
A Low-Rank Representation Method Regularized by Dual-Hypergraph Laplacian for Selecting Differentially Expressed Genes
|
期刊论文 |
Xiu-Xiu Xu;Ling-Yun Dai;Xiang-Zhen Kong;Jin-Xing Liu |
| 28 |
Dsnpcmf: Predicting mirna-disease associations with collaborative matrix factorization based on double sparse and nearest profile
|
会议论文 |
Yin Meng-Meng;Cui Zhen;Liu Jin-Xing;Gao Ying-Lian;Kong Xiang-Zhen |
| 29 |
Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method
|
期刊论文 |
Yue Hu;Jin-Xing Liu;Ying-Lian Gao;Sheng-Jun Li;Juan Wang |
| 30 |
Adaptive Total-Variation Regularized Low-Rank Representation for Analyzing Single-Cell RNA-seq Data
|
期刊论文 |
Liu Jin-Xing;Wang Chuan-Yuan;Gao Ying-Lian;Zhang Yulin;Wang Juan;Li Sheng-Jun |
| 31 |
Diagnosing Alzheimer’s Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression
|
会议论文 |
Tian-Ru Wu;Cui-Na Jiao;Xin-Chun Cui;Jin-Xing Liu |
| 32 |
Sparse robust graph-regularized non-negative matrix factorization based on correntropy
|
期刊论文 |
Wang Chuan-Yuan;Gao Ying-Lian;Liu Jin-Xing;Dai Ling-Yun;Shang Junliang |
| 33 |
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method
|
期刊论文 |
Zhen Cui;Ying-Lian Gao;Jin-Xing Liu;Juan Wang;Junliang Shang;Ling-Yun Dai |
| 34 |
L2,1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification
|
期刊论文 |
Ren Liang-Rui;Gao Ying-Lian;Liu Jin-Xing;Zhu Rong;Kong Xiang-Zhen |
| 35 |
2021山东省研究生优秀成果奖(三等奖)
|
奖励 |
尹萌萌;王静;焦翠娜;尚军亮（指导教师）;刘金星（指导教师） |
| 36 |
Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework
|
期刊论文 |
Chuan-Yuan Wang;Ying-Lian Gao;Jin-Xing Liu;Xiang-Zhen Kong;Chun-Hou Zheng |
| 37 |
A new method for mining information of co-expression network based on multi-cancers integrated data
|
期刊论文 |
Hou Mi-Xiao;Gao Ying-Lian;Liu Jin-Xing;Shang Junliang;Zhu Rong;Yuan Sha-Sha |
| 38 |
Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification
|
期刊论文 |
Ren Liang-Rui;Gao Ying-Lian;Shang Junliang;Liu Jin-Xing |
| 39 |
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification
|
会议论文 |
Ren Liang-Rui;Liu Jin-Xing;Gao Ying-Lian;Kong Xiang-Zhen;Zheng Chun-Hou |
| 40 |
Hyper-graph robust non-negative matrix factorization method for cancer sample clustering and feature selection
|
会议论文 |
Jiao Cui-Na;Wu Tian-Ru;Liu Jin-Xing;Kong Xiang-Zhen |
| 41 |
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations
|
期刊论文 |
Wu Tian-Ru;Yin Meng-Meng;Jiao Cui-Na;Gao Ying-Lian;Kong Xiang-Zhen;Liu Jin-Xing |
| 42 |
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection
|
期刊论文 |
Dai-Jun Zhang;Ying-Lian Gao;Jing-Xiu Zhao;Chun-Hou Zheng;Jin-Xing Liu |
| 43 |
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification
|
期刊论文 |
Ren Liang-Rui;Gao Ying-Lian;Liu Jin-Xing;Shang Junliang;Zheng Chun-Hou |
| 44 |
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data
|
期刊论文 |
Na Yu;Ming-Juan Wu;Jin-Xing Liu;Chun-Hou Zheng;Yong Xu |
| 45 |
Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations
|
会议论文 |
Ming-Ming Gao;Zhen Cui;Ying-Lian Gao;Feng Li;Jin-Xing Liu |
| 46 |
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering
|
会议论文 |
Zhao Yu-Ying;Wang Mao-Li;Wang Juan;Yuan Sha-Sha;Liu Jin-Xing;Kong Xiang-Zhen |
| 47 |
Network analysis based on low-rank method for mining information on integrated data of multi-cancers
|
期刊论文 |
Mi-Xiao Hou;Ying-Lian Gao;Jin-Xing Liu;Ling-Yun Dai;Xiang-Zhen Kong;Junliang Shang |
| 48 |
LWPCMF: Logistic Weighted Profile-based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations
|
期刊论文 |
Meng-Meng Yin;Zhen Cui;Ming-Ming Gao;Jin-Xing Liu;Ying-Lian Gao |
| 49 |
2019年山东省研究生优秀科研创新成果奖(三等奖)
|
奖励 |
郝永静;吴明娟;徐秀秀;刘金星（指导教师） |
| 50 |
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations
|
期刊论文 |
Dai Ling-Yun;Liu Jin-Xing;Zhu Rong;Wang Juan;Yuan Sha-Sha |
| 51 |
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data
|
期刊论文 |
Wu Ming-Juan;Gao Ying-Lian;Liu Jin-Xing;Zheng Chun-Hou;Wang Juan |
| 52 |
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations
|
期刊论文 |
Ying-Lian Gao;Zhen Cui;Jin-Xing Liu;Juan Wang;Chun-Hou Zheng |
| 53 |
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization
|
期刊论文 |
Chuan-Yuan Wang;Ying-Lian Gao;Xiang-Zhen Kong;Jin-Xing Liu;Chun-Hou Zheng |
| 54 |
Application of a Deep Matrix Factorization Model on Integrated Gene Expression Data
|
期刊论文 |
Hao Yong-Jing;Hou Mi-Xiao;Gao Ying-Lian;Liu Jin-Xing;Kong Xiang-Zhen |
| 55 |
Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data
|
期刊论文 |
Hang-Jin Yang;Yu-Xia Lei;Juan Wang;Xiang-Zhen Kong;Jin-Xing Liu;Ying-Lian Gao |
| 56 |
DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection
|
期刊论文 |
Hu Yue;Liu Jin-Xing;Gao Ying-Lian;Shang Junliang |
| 57 |
用于样本聚类和网络分析的整合鲁棒结构化NMF模型
|
期刊论文 |
张晓宁;孔祥真;罗传文;刘金星 |
| 58 |
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier
|
期刊论文 |
Zhu Rong;Wang Yong;Liu Jin-Xing;Dai Ling-Yun |
| 59 |
山东省优秀研究生指导教师
|
奖励 |
刘金星 |
| 60 |
Dual Hyper-graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification
|
期刊论文 |
Chuan-Yuan Wang;Na Yu;Ming-Juan Wu;Ying-Lian Gao;Jin-Xing Liu;Juan Wang |
| 61 |
HTRPCA: Hypergraph Regularized Tensor Robust Principal Component Analysis for Sample Clustering in Tumor Omics Data
|
期刊论文 |
Zhao Yu-Ying;Jiao Cui-Na;Wang Mao-Li;Liu Jin-Xing;Wang Juan;Zheng Chun-Hou |
| 62 |
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification
|
期刊论文 |
Ren Liang-Rui;Liu Jin-Xing;Gao Ying-Lian;Kong Xiang-Zhen;Zheng Chun-Hou |
| 63 |
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation
|
期刊论文 |
Cui-Na Jiao;Jin-Xing Liu;Juan Wang;Junliang Shang;Chun-Hou Zheng |
| 64 |
DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization
|
期刊论文 |
Liu Jin-Xing;Gao Ming-Ming;Cui Zhen;Gao Ying-Lian;Li Feng |
| 65 |
NCPLP: A novel approach for predicting microbe-associated diseases with Network Consistency Projection and Label Propagation
|
期刊论文 |
Yin Meng-Meng;Liu Jin-Xing;Gao Ying-Lian;Kong Xiang-Zhen;Zheng Chun-Hou |
| 66 |
2019年山东省研究生优秀科研创新成果奖(一等奖)
|
奖励 |
崔震;胡月;于娜;刘金星（指导教师） |
| 67 |
Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data
|
会议论文 |
Qian Qiao;Ying-Lian Gao;Sha-Sha Yuan;Jin-Xing Liu |
| 68 |
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy
|
会议论文 |
Cui-Na Jiao;Jin-Xing Liu;Ying-Lian Gao;Xiang-Zhen Kong;Chun-Hou Zheng;Xianzi Yu |
| 69 |
Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection
|
期刊论文 |
Juan Wang;Li-Hong Wang;Jin-Xing Liu;Xiang-Zhen Kong;Sheng-Jun Li |
| 70 |
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations.
|
期刊论文 |
Zhen Cui;Jin-Xing Liu;Ying-Lian Gao;Chun-Hou Zheng;Juan Wang |
| 71 |
Robust Principal Component Analysis Based on Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection
|
期刊论文 |
Ying-Lian Gao;Ming-Juan Wu;Jin-Xing Liu;Chun-Hou Zheng;Juan Wang |
| 72 |
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation
|
会议论文 |
Ying-Lian Gao;Meng-Meng Yin;Jin-Xing Liu;Junliang Shang;Chun-Hou Zheng |
| 73 |
淮海科学技术奖
|
奖励 |
刘金星;郑春厚;尚军亮;齐连永;代凌云 |
| 74 |
2021山东省优秀硕士学位论文
|
奖励 |
于娜;刘金星（指导教师） |
| 75 |
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis
|
会议论文 |
Wang Chuan-Yuan;Gao Ying-Lian;Jiao Cui-Na;Liu Jin-Xing;Zheng Chun-Hou;Kong Xiang-Zhen |
