Jin-Xing Liu

According to our database1, Jin-Xing Liu authored at least 108 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021

Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
IEEE Trans. Cybern., 2021

LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection.
Symmetry, 2021

Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.
Knowl. Based Syst., 2021

Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations.
J. Comput. Sci. Technol., 2021

Sparse robust graph-regularized non-negative matrix factorization based on correntropy.
J. Bioinform. Comput. Biol., 2021

The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis.
Int. J. Neural Syst., 2021

IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier.
BMC Bioinform., 2021

DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.
BMC Bioinform., 2021

Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
IEEE J. Biomed. Health Informatics, 2020

Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.
IEEE J. Biomed. Health Informatics, 2020

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.
IEEE J. Biomed. Health Informatics, 2020

Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A multi-view classification and feature selection method via sparse low-rank regression analysis.
Int. J. Data Min. Bioinform., 2020

Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data.
Complex., 2020

L<sub>2, 1</sub>-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.
Comput. Biol. Chem., 2020

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
BMC Bioinform., 2020

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
BMC Bioinform., 2020

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
BMC Bioinform., 2020

Essential Proteins Identification Based on Integrated Network.
Proceedings of the Intelligent Computing Theories and Application, 2020

Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification.
Proceedings of the Intelligent Computing Theories and Application, 2020

Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020

Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data.
J. Comput. Biol., 2019

Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method.
Complex., 2019

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.
Complex., 2019

Laplacian regularized low-rank representation for cancer samples clustering.
Comput. Biol. Chem., 2019

Network analysis based on low-rank method for mining information on integrated data of multi-cancers.
Comput. Biol. Chem., 2019

HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions.
Comput. Biol. Chem., 2019

Integrative graph regularized matrix factorization for drug-pathway associations analysis.
Comput. Biol. Chem., 2019

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.
BMC Bioinform., 2019

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations.
BMC Bioinform., 2019

RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations.
BMC Bioinform., 2019

L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
BMC Bioinform., 2019

A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions.
IEEE Access, 2019

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.
IEEE Access, 2019

An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis.
IEEE Access, 2019

NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers.
IEEE Access, 2019

DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile.
Proceedings of the Recent Advances in Data Science, 2019

Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.
Proceedings of the Recent Advances in Data Science, 2019

An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis.
Proceedings of the Recent Advances in Data Science, 2019

Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis.
Proceedings of the Recent Advances in Data Science, 2019

Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

2018
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data.
Proceedings of the Intelligent Computing Theories and Application, 2018

acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search.
Proceedings of the Intelligent Computing Theories and Application, 2018

Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.
Proceedings of the Intelligent Computing Theories and Application, 2018

A Fast Quantum Clustering Approach for Cancer Gene Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A joint-L<sub>2, 1</sub>-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis.
Neurocomputing, 2017

A novel low-rank representation method for identifying differentially expressed genes.
Int. J. Data Min. Bioinform., 2017

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes.
Complex., 2017

Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition.
BMC Syst. Biol., 2017

epiACO - a method for identifying epistasis based on ant Colony optimization algorithm.
BioData Min., 2017

Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A convex multi-view low-rank sparse regression for feature selection and clustering.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

A compressed sensing based two-stage method for detecting epistatic interactions.
Int. J. Data Min. Bioinform., 2016

Differentially expressed genes selection via Laplacian regularized low-rank representation method.
Comput. Biol. Chem., 2016

CINOEDV: a co-information based method for detecting and visualizing <i>n</i>-order epistatic interactions.
BMC Bioinform., 2016

SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2016

An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes.
Proceedings of the Intelligent Computing Theories and Application, 2016

Gene Extraction Based on Sparse Singular Value Decomposition.
Proceedings of the Intelligent Computing Theories and Application, 2016

Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data.
Proceedings of the Intelligent Computing Theories and Application, 2016

A Simple Review of Sparse Principal Components Analysis.
Proceedings of the Intelligent Computing Theories and Application, 2016

An Adaptive Weighted Degree Kernel to Predict the Splice Site.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

L21-iPaD: An efficient method for drug-pathway association pairs inference.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Differentially expressed genes selection via Truncated Nuclear Norm Regularization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Characteristic gene selection via L2, 1-norm Sparse Principal Component Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

A p-norm singular value decomposition method for robust tumor clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
RPCA-Based Tumor Classification Using Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Research and improvement of DV_HOP localization algorithm in wireless sensor networks.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A Survey of Multiple Sequence Alignment Techniques.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Semi-supervised Feature Extraction for RNA-Seq Data Analysis.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

A Two-Stage Sparse Selection Method for Extracting Characteristic Genes.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2013
Robust PCA based method for discovering differentially expressed genes.
BMC Bioinform., 2013

Networks Attack-Defense model based on the improved Lanchester equation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition.
Comput. Biol. Medicine, 2012

Study on node importance of complex network based military Command Control networks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Modeling the role of CSAR team based on AML.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Study on cooperative attack strategy to time-sensitive target based proactive information delivery.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Identifying Characteristic Genes Based on Robust Principal Component Analysis.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
Discovering the transcriptional modules using microarray data by penalized matrix decomposition.
Comput. Biol. Medicine, 2011

Study on role adjusting strategy in joint Close Air Support.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011


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