A Fuzzy PID Controller for Controlling Flotation De-inking Column. - Jinxing Liu 001; Huanbin Liu; Wenhao Shen; Yonggen Xu; Shuangchun Yang (ICIC (2), 2006)

Stability Analysis of Particle Swarm Optimization. - Jinxing Liu 001; Huanbin Liu; Wenhao Shen (ICIC (2), 2007)

Discovering the transcriptional modules using microarray data by penalized matrix decomposition. - Jun Zhang 011; Chun-Hou Zheng 001; Jin-Xing Liu 001; Hong-Qiang Wang (Comput. Biol. Medicine, 2011)

Identifying Characteristic Genes Based on Robust Principal Component Analysis. - Chun-Hou Zheng 001; Jin-Xing Liu 001; Jian-Xun Mi; Yong Xu 001 (ICIC (3), 2012)

Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. - Jin-Xing Liu 001; Chun-Hou Zheng 001; Yong Xu 001 (Comput. Biol. Medicine, 2012)

Robust PCA based method for discovering differentially expressed genes. - Jin-Xing Liu 001; Yutian Wang; Chun-Hou Zheng 001; Wen Sha; Jian-Xun Mi; Yong Xu 001 (BMC Bioinform., 2013)

A Two-Stage Sparse Selection Method for Extracting Characteristic Genes. - Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001; Shengjun Li; Yuxia Lei (ICIC (2), 2015)

Semi-supervised Feature Extraction for RNA-Seq Data Analysis. - Jin-Xing Liu 001; Yong Xu 001; Ying-Lian Gao; Dong Wang 019; Chun-Hou Zheng 001; Junliang Shang (ICIC (3), 2015)

Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes. - Chun-Xia Ma; Ying-Lian Gao; Dong Wang 019; Jian Liu; Jin-Xing Liu 001 (ICIC (2), 2015)

Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders. - Junliang Shang; Yan Sun; Yun Fang; Shengjun Li; Jin-Xing Liu 001; Yuanke Zhang (ICIC (2), 2015)

Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection. - Dong Wang 019; Ying-Lian Gao; Jin-Xing Liu 001; Jiguo Yu; Chang-Gang Wen (ICIC (2), 2015)

A Survey of Multiple Sequence Alignment Techniques. - Xiao-Dan Wang; Jin-Xing Liu 001; Yong Xu 001; Jian Zhang 002 (ICIC (1), 2015)

An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. - Ke Yan 003; Jin-Xing Liu 001; Yong Xu 001 (ICIC (1), 2015)

RPCA-Based Tumor Classification Using Gene Expression Data. - Jin-Xing Liu 001; Yong Xu 001; Chun-Hou Zheng 001; Heng Kong; Zhihui Lai 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. - Ling-Yun Dai; Chun-Mei Feng 001; Jin-Xing Liu 001; Chun-Hou Zheng 001; Mi-Xiao Hou; Jiguo Yu (BIBM, 2016)

A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. - Chun-Mei Feng 001; Jin-Xing Liu 001; Ying-Lian Gao; Juan Wang 003; Dong-Qin Wang; Yong Du (BIBM, 2016)

A p-norm singular value decomposition method for robust tumor clustering. - Xiangzhen Kong; Jin-Xing Liu 001; Chun-Hou Zheng 001; Mi-Xiao Hou; Yao Lu 008 (BIBM, 2016)

Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. - Jin-Xing Liu 001; Xiangzhen Kong; Chun-Hou Zheng 001; Junliang Shang; Wei Zhang (BIBM, 2016)

Characteristic gene selection via L2, 1-norm Sparse Principal Component Analysis. - Yao Lu 008; Ying-Lian Gao; Jin-Xing Liu 001; Chang-Gang Wen; Yaxuan Wang; Jiguo Yu (BIBM, 2016)

Differentially expressed genes selection via Truncated Nuclear Norm Regularization. - Yaxuan Wang; Jin-Xing Liu 001; Ying-Lian Gao; Xiangzhen Kong; Chun-Hou Zheng 001; Yong Du (BIBM, 2016)

L21-iPaD: An efficient method for drug-pathway association pairs inference. - Dong-Qin Wang; Chun-Hou Zheng 001; Ying-Lian Gao; Jin-Xing Liu 001; Sha-Sha Wu; Junliang Shang (BIBM, 2016)

An Adaptive Weighted Degree Kernel to Predict the Splice Site. - Tianqi Wang; Ke Yan 003; Yong Xu 001; Jin-Xing Liu 001 (CCBR, 2016)

A Simple Review of Sparse Principal Components Analysis. - Chun-Mei Feng 001; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001; Shengjun Li; Dong Wang 019 (ICIC (2), 2016)

Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data. - Mi-Xiao Hou; Ying-Lian Gao; Jin-Xing Liu 001; Junliang Shang; Chun-Hou Zheng 001 (ICIC (2), 2016)

Gene Extraction Based on Sparse Singular Value Decomposition. - Xiangzhen Kong; Jin-Xing Liu 001; Chun-Hou Zheng 001; Junliang Shang (ICIC (1), 2016)

A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes. - Shengjun Li; Junliang Shang; Jin-Xing Liu 001; Huiyu Li (ICIC (2), 2016)

An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions. - Yingxia Sun; Junliang Shang; Jin-Xing Liu 001; Shengjun Li (ICIC (3), 2016)

SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions. - Wenxiang Zhang; Junliang Shang; Huiyu Li; Yingxia Sun; Jin-Xing Liu 001 (ICIC (1), 2016)

CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions. - Junliang Shang; Yingxia Sun; Jin-Xing Liu 001; Junfeng Xia; Junying Zhang; Chun-Hou Zheng 001 (BMC Bioinform., 2016)

Differentially expressed genes selection via Laplacian regularized low-rank representation method. - Yaxuan Wang; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Junliang Shang (Comput. Biol. Chem., 2016)

A compressed sensing based two-stage method for detecting epistatic interactions. - Shengjun Li; Junliang Shang; Qinliang Chen; Yan Sun; Jin-Xing Liu 001 (Int. J. Data Min. Bioinform., 2016)

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. - Jin-Xing Liu 001; Yong Xu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Dong Wang 019; Qi Zhu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. - Dong Wang 019; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Yong Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. - Ling-Yun Dai; Jin-Xing Liu 001; Chun-Hou Zheng 001; Junliang Shang; Chun-Mei Feng 001; Yaxuan Wang (BIBM, 2017)

A convex multi-view low-rank sparse regression for feature selection and clustering. - Yao Lu 008; Jin-Xing Liu 001; Xiangzhen Kong; Junliang Shang (BIBM, 2017)

Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. - Yaxuan Wang; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Ling-Yun Dai (BIBM, 2017)

Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. - Ming-Juan Wu; Jin-Xing Liu 001; Ying-Lian Gao; Xiangzhen Kong; Chun-Mei Feng 001 (BIBM, 2017)

Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. - Na Yu; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Juan Wang 003; Ming-Juan Wu (BIBM, 2017)

epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. - Yingxia Sun; Junliang Shang; Jin-Xing Liu 001; Shengjun Li; Chun-Hou Zheng 001 (BioData Min., 2017)

Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition. - Jin-Xing Liu 001; Dong-Qin Wang; Chun-Hou Zheng 001; Ying-Lian Gao; Sha-Sha Wu; Junliang Shang (BMC Syst. Biol., 2017)

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. - Ling-Yun Dai; Chun-Mei Feng 001; Jin-Xing Liu 001; Chun-Hou Zheng 001; Jiguo Yu; Mi-Xiao Hou (Complex., 2017)

A novel low-rank representation method for identifying differentially expressed genes. - Xiu-Xiu Xu; Ying-Lian Gao; Jin-Xing Liu 001; Yaxuan Wang; Ling-Yun Dai; Xiang-Zhen Kong; Shasha Yuan (Int. J. Data Min. Bioinform., 2017)

A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. - Jin-Xing Liu 001; Dong Wang 019; Ying-Lian Gao; Chun-Hou Zheng 001; Junliang Shang; Feng Liu 013; Yong Xu 001 (Neurocomputing, 2017)

Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. - Ling-Yun Dai; Jin-Xing Liu 001; Rong Zhu; Xiang-Zhen Kong; Mi-Xiao Hou; Shasha Yuan (BIBM, 2018)

Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection. - Na Yu; Ying-Lian Gao; Jin-Xing Liu 001; Juan Wang 003; Junliang Shang (BIBM, 2018)

A Fast Quantum Clustering Approach for Cancer Gene Clustering. - Rong Zhu; Guangshun Li; Jin-Xing Liu 001; Ling-Yun Dai; Shasha Yuan; Ying Guo 002 (BIBM, 2018)

Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. - Mi-Xiao Hou; Jin-Xing Liu 001; Junliang Shang; Ying-Lian Gao; Xiang-Zhen Kong; Ling-Yun Dai (ICIC (2), 2018)

acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. - Chang Liu; Junliang Shang; Xuhui Zhu; Yan Sun; Jin-Xing Liu 001; Chun-Hou Zheng 001; Junying Zhang (ICIC (2), 2018)

Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data. - Shasha Wu; Mi-Xiao Hou; Jin-Xing Liu 001; Juan Wang 003; Shasha Yuan (ICIC (2), 2018)

An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features. - Huiyu Li; Shengjun Li; Junliang Shang; Jin-Xing Liu 001; Chun-Hou Zheng 001 (ISBRA, 2018)

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. - Jin-Xing Liu 001; Dong Wang 019; Ying-Lian Gao; Chun-Hou Zheng 001; Yong Xu 001; Jiguo Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations. - Ming-Ming Gao; Zhen Cui; Ying-Lian Gao; Feng Li 033; Jin-Xing Liu 001 (ICIC (3), 2019)

Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis. - Qian Ding; Yan Sun; Junliang Shang; Yuanyuan Zhang 008; Feng Li 033; Jin-Xing Liu 001 (IDMB, 2019)

An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis. - Yong-Jing Hao; Mi-Xiao Hou; Rong Zhu; Jin-Xing Liu 001 (IDMB, 2019)

Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection. - Cui-Na Jiao; Tian-Ru Wu; Jin-Xing Liu 001; Xiang-Zhen Kong (IDMB, 2019)

DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile. - Meng-Meng Yin; Zhen Cui; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong (IDMB, 2019)

NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers. - Qian Ding; Junliang Shang; Yan Sun; Guangshuai Liu; Feng Li 033; Xiguo Yuan; Jin-Xing Liu 001 (IEEE Access, 2019)

An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis. - Ying-Lian Gao; Mi-Xiao Hou; Jin-Xing Liu 001; Xiang-Zhen Kong (IEEE Access, 2019)

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. - Jin-Xing Liu 001; Chun-Mei Feng 001; Xiang-Zhen Kong; Yong Xu 001 (IEEE Access, 2019)

A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions. - Junliang Shang; Xuan Wang; Xiaoyang Wu 005; Yingxia Sun; Qian Ding; Jin-Xing Liu 001; Honghai Zhang (IEEE Access, 2019)

L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions. - Zhen Cui; Ying-Lian Gao; Jin-Xing Liu 001; Ling-Yun Dai; Shasha Yuan (BMC Bioinform., 2019)

RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. - Zhen Cui; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Juan Wang 003 (BMC Bioinform., 2019)

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. - Ying-Lian Gao; Zhen Cui; Jin-Xing Liu 001; Juan Wang 003; Chun-Hou Zheng 001 (BMC Bioinform., 2019)

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. - Juan Wang 003; Cong-Hai Lu; Jin-Xing Liu 001; Ling-Yun Dai; Xiang-Zhen Kong (BMC Bioinform., 2019)

Integrative graph regularized matrix factorization for drug-pathway associations analysis. - Ling-Yun Dai; Chun-Hou Zheng 001; Jin-Xing Liu 001; Rong Zhu; Shasha Yuan; Juan Wang 003; Xiang-Zhen Kong (Comput. Biol. Chem., 2019)

HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions. - Qian Ding; Junliang Shang; Yingxia Sun; Xuan Wang; Jin-Xing Liu 001 (Comput. Biol. Chem., 2019)

Network analysis based on low-rank method for mining information on integrated data of multi-cancers. - Mi-Xiao Hou; Ying-Lian Gao; Jin-Xing Liu 001; Ling-Yun Dai; Xiang-Zhen Kong; Junliang Shang (Comput. Biol. Chem., 2019)

Laplacian regularized low-rank representation for cancer samples clustering. - Juan Wang 003; Jin-Xing Liu 001; Xiang-Zhen Kong; Shasha Yuan; Ling-Yun Dai (Comput. Biol. Chem., 2019)

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. - Yong-Jing Hao; Ying-Lian Gao; Mi-Xiao Hou; Ling-Yun Dai; Jin-Xing Liu 001 (Complex., 2019)

Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method. - Yue Hu; Jin-Xing Liu 001; Ying-Lian Gao; Shengjun Li; Juan Wang 003 (Complex., 2019)

A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. - Huiyu Li; Shengjun Li; Junliang Shang; Jin-Xing Liu 001; Chun-Hou Zheng 001 (J. Comput. Biol., 2019)

A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. - Juan Wang 003; Jin-Xing Liu 001; Chun-Hou Zheng 001; Yaxuan Wang; Xiang-Zhen Kong; Chang-Gang Wen (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. - Chun-Mei Feng 001; Yong Xu 001; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. - Zhen Cui; Ying-Lian Gao; Jin-Xing Liu 001; Juan Wang 003; Junliang Shang; Ling-Yun Dai (BMC Bioinform., 2019)

ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactions. - Rong Zhu; Guangshun Li; Jin-Xing Liu 001; Ling-Yun Dai; Ying Guo 002 (BMC Bioinform., 2019)

Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. - Yu Song; Xiang-Zhen Kong; Jin-Xing Liu 001; Juan Wang 003; Shasha Yuan; Ling-Yun Dai (BIBM, 2020)

Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. - Chuan-Yuan Wang; Ying-Lian Gao; Cui-Na Jiao; Jin-Xing Liu 001; Chunhou Zheng 001; Xiang-Zhen Kong (BIBM, 2020)

Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. - Hang-Jin Yang; Yu-Ying Zhao; Jin-Xing Liu 001; Yuxia Lei; Junliang Shang; Xiang-Zhen Kong (BIBM, 2020)

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. - Shasha Yuan; Jin-Xing Liu 001; Junliang Shang; Fangzhou Xu; Lingyun Dai; Xiangzhen Kong (BIBM, 2020)

Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. - Yu-Ying Zhao; Maoli Wang; Juan Wang 003; Shasha Yuan; Jin-Xing Liu 001; Xiang-Zhen Kong (BIBM, 2020)

Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data. - Ya-li Zhu; Ming-Juan Wu; Chuan-Yuan Wang; Yue Hu; Jin-Xing Liu 001 (BIC-TA, 2020)

Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. - Liang-Rui Ren; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong; Chun-Hou Zheng 001 (ICIC (2), 2020)

Essential Proteins Identification Based on Integrated Network. - Chang-Gang Wen; Jin-Xing Liu 001; Lei Qin; Juan Wang 003; Yun Fang (ICIC (1), 2020)

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method. - Wenwen Fan; Junliang Shang; Feng Li 033; Yan Sun; Shasha Yuan; Jin-Xing Liu 001 (BMC Bioinform., 2020)

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. - Liang-Rui Ren; Ying-Lian Gao; Jin-Xing Liu 001; Junliang Shang; Chun-Hou Zheng 001 (BMC Bioinform., 2020)

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. - Tian-Ru Wu; Meng-Meng Yin; Cui-Na Jiao; Ying-Lian Gao; Xiang-Zhen Kong; Jin-Xing Liu 001 (BMC Bioinform., 2020)

L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification. - Liang-Rui Ren; Ying-Lian Gao; Jin-Xing Liu 001; Rong Zhu; Xiang-Zhen Kong (Comput. Biol. Chem., 2020)

Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. - Juan Wang 003; Jin-Xing Liu 001; Chun-Hou Zheng 001; Cong-Hai Lu; Ling-Yun Dai; Xiang-Zhen Kong (Complex., 2020)

A multi-view classification and feature selection method via sparse low-rank regression analysis. - Yao Lu 008; Ying-Lian Gao; Pei-Yong Li; Jin-Xing Liu 001 (Int. J. Data Min. Bioinform., 2020)

Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis. - Yingxia Sun; Xuan Wang; Junliang Shang; Jin-Xing Liu 001; Chun-Hou Zheng 001; Xiujuan Lei (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring. - Zhen Cui; Jin-Xing Liu 001; Ying-Lian Gao; Rong Zhu; Shasha Yuan (IEEE J. Biomed. Health Informatics, 2020)

Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification. - Cui-Na Jiao; Ying-Lian Gao; Na Yu; Jin-Xing Liu 001; Lianyong Qi (IEEE J. Biomed. Health Informatics, 2020)

Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. - Ming-Juan Wu; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001; Juan Wang 003 (IEEE J. Biomed. Health Informatics, 2020)

Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. - Cui-Na Jiao; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong; Chun-Hou Zheng 001; Xianzi Yu (BIBM, 2021)

Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data. - Qian Qiao; Ying-Lian Gao; Shasha Yuan; Jin-Xing Liu 001 (BIBM, 2021)

Adaptive total-variation joint learning model for analyzing single cell RNA seq data. - Dai-Jun Zhang; Jing-Xiu Zhao; Jin-Xing Liu 001; Ying-Lian Gao (BIBM, 2021)

Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification. - Zhen-Xin Niu; Liang-Rui Ren; Rong Zhu; Xiang-Zhen Kong; Ying-Lian Gao; Jin-Xing Liu 001 (ICIC (2), 2021)

Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. - He-Ming Chu; Xiang-Zhen Kong; Jin-Xing Liu 001; Juan Wang 003; Shasha Yuan; Ling-Yun Dai (ISBRA, 2021)

MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. - Ying-Lian Gao; Meng-Meng Yin; Jin-Xing Liu 001; Junliang Shang; Chun-Hou Zheng 001 (ISBRA, 2021)

Multiscale part mutual information for quantifying nonlinear direct associations in networks. - Junliang Shang; Jing Wang; Yan Sun; Feng Li 033; Jin-Xing Liu 001; Honghai Zhang (Bioinform., 2021)

DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization. - Jin-Xing Liu 001; Ming-Ming Gao; Zhen Cui; Ying-Lian Gao; Feng Li 033 (BMC Bioinform., 2021)

Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. - Feng Zhou 021; Meng-Meng Yin; Cui-Na Jiao; Zhen Cui; Jing-Xiu Zhao; Jin-Xing Liu 001 (BMC Bioinform., 2021)

IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier. - Rong Zhu; Yong Wang; Jin-Xing Liu 001; Ling-Yun Dai (BMC Bioinform., 2021)

The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. - Delu Ma; Shasha Yuan; Junliang Shang; Jin-Xing Liu 001; Lingyun Dai; Xiangzhen Kong; Fangzhou Xu (Int. J. Neural Syst., 2021)

Sparse robust graph-regularized non-negative matrix factorization based on correntropy. - Chuan-Yuan Wang; Ying-Lian Gao; Jin-Xing Liu 001; Ling-Yun Dai; Junliang Shang (J. Bioinform. Comput. Biol., 2021)

Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. - Ling-Yun Dai; Jin-Xing Liu 001; Rong Zhu; Juan Wang 003; Shasha Yuan (J. Comput. Sci. Technol., 2021)

Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification. - Liang-Rui Ren; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong; Chun-Hou Zheng 001 (Knowl. Based Syst., 2021)

MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection. - Junliang Shang; Yiting Li; Yan Sun; Feng Li 033; Yuanyuan Zhang 008; Jin-Xing Liu 001 (Symmetry, 2021)

DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection. - Yue Hu; Jin-Xing Liu 001; Ying-Lian Gao; Junliang Shang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. - Chuan-Yuan Wang; Na Yu; Ming-Juan Wu; Ying-Lian Gao; Jin-Xing Liu 001; Juan Wang 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. - Ke Yan 003; Jie Wen 001; Jin-Xing Liu 001; Yong Xu 001; Bin Liu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. - Meng-Meng Yin; Zhen Cui; Ming-Ming Gao; Jin-Xing Liu 001; Ying-Lian Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. - Na Yu; Ming-Juan Wu; Jin-Xing Liu 001; Chun-Hou Zheng 001; Yong Xu 001 (IEEE Trans. Cybern., 2021)

Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations. - Ming-Ming Gao; Zhen Cui; Ying-Lian Gao; Juan Wang 003; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2021)

WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations. - Jin-Xing Liu 001; Zhen Cui; Ying-Lian Gao; Xiang-Zhen Kong (IEEE J. Biomed. Health Informatics, 2021)

Adaptive total variation constraint hypergraph regularized NMF for single-cell RNA-seq data analysis. - Ya-li Zhu; Xiao-ning Zhang; Chuan-Yuan Wang; Jin-Xing Liu 001; Xiangzhen Kong (Quant. Biol., 2021)

Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors. - Cui-Na Jiao; Chun-Hou Zheng 001; Jin-Xing Liu 001; Feng Li 033 (BIBM, 2022)

An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. - Zhi-Yuan Li; Ying-Lian Gao; Zhen-Xin Niu; Shasha Yuan; Chun-Hou Zheng 001; Jin-Xing Liu 001 (BIBM, 2022)

Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection. - Junliang Shang; Yijun Gu; Yan Sun; Feng Li 033; Jin-Xin Liu 001; Boxin Guan (BIBM, 2022)

Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression. - Tian-Ru Wu; Cui-Na Jiao; Xinchun Cui; Jin-Xing Liu 001 (BIBM, 2022)

HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder. - Wen-Yu Xi; Qianqian Ren; Jin-Xing Liu 001; Ying-Lian Gao (BIBM, 2022)

Identification of cancer driver modules by combining network functional and topology information. - Xin Chu; Feng Li 033; Hongyu Duan; Junliang Shang; Juan Wang 003; Jin-Xing Liu 001 (BIBM, 2022)

Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. - Sheng-Nan Zhang; Yu-Lin Zhang; Jin-Xing Liu 001; Juan Wang 003; Junliang Shang; Dao-Hui Ge (BIBM, 2022)

Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification. - Zhensheng Sun; Junliang Shang; Hongyu Duan; Jin-Xing Liu 001; Xikui Liu 001; Yan Li 041; Feng Li 033 (ICIC (2), 2022)

A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. - Qian Qiao; Shasha Yuan; Junliang Shang; Jin-Xing Liu 001 (ISBRA, 2022)

A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs. - Yi Shen; Ying-Lian Gao; Shu-Zhen Li; Boxin Guan; Jin-Xing Liu 001 (ISBRA, 2022)

MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction. - Ying Wang 143; Ying-Lian Gao; Juan Wang 003; Junliang Shang; Jin-Xing Liu 001 (ISBRA, 2022)

ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. - Zhen-Chang Wang; Jin-Xing Liu 001; Junliang Shang; Ling-Yun Dai; Chun-Hou Zheng 001; Juan Wang 003 (ISBRA, 2022)

TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. - Qi Zou 003; Yan Sun; Feng Li 033; Juan Wang 003; Jin-Xing Liu 001; Junliang Shang (ISBRA, 2022)

THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. - Tian-Jing Qiao; Na-Na Zhang; Jin-Xing Liu 001; Junliang Shang; Cui-Na Jiao; Juan Wang 003 (SDSC, 2022)

Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification. - Zhen-Xin Niu; Cui-Na Jiao; Liang-Rui Ren; Rong Zhu; Juan Wang 003; Jin-Xing Liu 001 (Appl. Intell., 2022)

A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. - Bao-Min Liu; Ying-Lian Gao; Dai-Jun Zhang; Feng Zhou 021; Juan Wang 003; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Briefings Bioinform., 2022)

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. - He-Ming Chu; Jin-Xing Liu 001; Ke Zhang; Chun-Hou Zheng 001; Juan Wang 003; Xiang-Zhen Kong (BMC Bioinform., 2022)

Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. - Meng-Meng Yin; Ying-Lian Gao; Junliang Shang; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Future Gener. Comput. Syst., 2022)

Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. - Hang-Jin Yang; Yuxia Lei; Juan Wang 003; Xiang-Zhen Kong; Jin-Xing Liu 001; Ying-Lian Gao (J. Bioinform. Comput. Biol., 2022)

Predicting miRNA-disease associations via layer attention graph convolutional network model. - Han Han; Rong Zhu; Jin-Xing Liu 001; Ling-Yun Dai (BMC Medical Informatics Decis. Mak., 2022)

Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification. - Liang-Rui Ren; Ying-Lian Gao; Junliang Shang; Jin-Xing Liu 001 (Int. J. Mach. Learn. Cybern., 2022)

Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. - Ying-Lian Gao; Ming-Juan Wu; Jin-Xing Liu 001; Chun-Hou Zheng 001; Juan Wang 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework. - Chuan-Yuan Wang; Ying-Lian Gao; Jin-Xing Liu 001; Xiang-Zhen Kong; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. - Meng-Meng Yin; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong; Chun-Hou Zheng 001 (IEEE Trans. Cybern., 2022)

Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. - Juan Wang 003; Li-Hong Wang; Jin-Xing Liu 001; Xiang-Zhen Kong; Shengjun Li (IEEE J. Biomed. Health Informatics, 2022)

Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. - Cui-Na Jiao; Jin-Xing Liu 001; Juan Wang 003; Junliang Shang; Chun-Hou Zheng 001 (IEEE J. Biomed. Health Informatics, 2022)

Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. - Chuan-Yuan Wang; Ying-Lian Gao; Xiang-Zhen Kong; Jin-Xing Liu 001; Chun-Hou Zheng 001 (IEEE J. Biomed. Health Informatics, 2022)

SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints. - Na-Na Zhang; Jin-Xing Liu 001; Chun-Hou Zheng 001; Juan Wang 003 (IEEE J. Biomed. Health Informatics, 2022)

GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. - Wen-Yue Kang; Chun-Hou Zheng 001; Ying-Lian Gao; Juan Wang 003; Junliang Shang; Jin-Xing Liu 001 (BIBM, 2023)

idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework. - Yahan Li; Mingrui Zhang; Junliang Shang; Yaxuan Zhang; Feng Li 033; Jin-Xing Liu 001 (BIBM, 2023)

MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations. - Xu Wang; Ling-Yun Dai; Jin-Xing Liu 001; Shuang Wang (BIBM, 2023)

MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes. - Shuang Wang; Jin-Xing Liu 001; Bao-Min Liu; Ling-Yun Dai; Feng Li 033; Ying-Lian Gao (BIBM, 2023)

scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization. - Juan Wang 003; Na-Na Zhang; Junliang Shang; Jin-Xing Liu 001 (BIBM, 2023)

LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction. - Xu-Ran Dou; Wen-Yu Xi; Tian-Ru Wu; Cui-Na Jiao; Jin-Xing Liu 001; Ying-Lian Gao (ICIC (3), 2023)

Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder. - Yue Gao; Dai-Jun Zhang; Cui-Na Jiao; Ying-Lian Gao; Jin-Xing Liu 001 (ICIC (3), 2023)

Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. - Jie Xu; Juan Wang 003; Jin-Xing Liu 001; Junliang Shang; Lingyun Dai; Kuiting Yan; Shasha Yuan (ICIC (2), 2023)

ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. - Qianqian Ren; Yahan Li; Feng Li 033; Jin-Xing Liu 001; Junliang Shang (ISBRA, 2023)

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. - Junliang Shang; Xuhui Zhu; Yan Sun; Feng Li 033; Xiangzhen Kong; Jin-Xing Liu 001 (BMC Bioinform., 2023)

A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. - He-Ming Chu; Xiang-Zhen Kong; Jin-Xing Liu 001; Chun-Hou Zheng 001; Han Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. - Jin-Xing Liu 001; Meng-Meng Yin; Ying-Lian Gao; Junliang Shang; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data. - Jin-Xing Liu 001; Dai-Jun Zhang; Jing-Xiu Zhao; Chun-Hou Zheng 001; Ying-Lian Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. - Wen-Yu Xi; Feng Zhou 021; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. - Feng Zhou 021; Meng-Meng Yin; Jing-Xiu Zhao; Junliang Shang; Jin-Xing Liu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. - Meng-Meng Yin; Ying-Lian Gao; Chun-Hou Zheng 001; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. - Shasha Yuan; Xiang Liu; Junliang Shang; Jin-Xing Liu 001; Juan Wang 003; Weidong Zhou (IEEE J. Biomed. Health Informatics, 2023)

A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. - Tian-Jing Qiao; Jin-Xing Liu 001; Junliang Shang; Shasha Yuan; Chun-Hou Zheng 001; Juan Wang 003 (IEEE J. Biomed. Health Informatics, 2023)

KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. - Lin-Ping Wang; Jin-Xing Liu 001; Junliang Shang; Xiangzhen Kong; Boxin Guan; Juan Wang 003 (Comput. Biol. Chem., 2023)

GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. - Junliang Shang; Qi Zou 003; Qianqian Ren; Boxin Guan; Feng Li 033; Jin-Xing Liu 001; Yan Sun (IEEE J. Biomed. Health Informatics, 2023)

MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder. - Ying Wang 143; Ying-Lian Gao; Juan Wang 003; Feng Li 033; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection. - Qian Qiao; Shasha Yuan; Junliang Shang; Jin-Xing Liu 001 (J. Comput. Biol., 2023)

Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning. - Yi Shen; Ying-Lian Gao; Juan Wang 003; Boxin Guan; Jin-Xing Liu 001 (J. Comput. Biol., 2023)

ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. - Zhen-Chang Wang; Jin-Xing Liu 001; Junliang Shang; Ling-Yun Dai; Chun-Hou Zheng 001; Juan Wang 003 (J. Comput. Biol., 2023)

A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations. - Ying Wang 143; Jin-Xing Liu 001; Juan Wang 003; Junliang Shang; Ying-Lian Gao (J. Comput. Biol., 2023)

Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. - Feng Zhou 021; Meng-Meng Yin; Cui-Na Jiao; Jing-Xiu Zhao; Chun-Hou Zheng 001; Jin-Xing Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data. - Ying-Lian Gao; Qian Qiao; Juan Wang 003; Shasha Yuan; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification. - Juan Wang 003; Lin-Ping Wang; Shasha Yuan; Feng Li 033; Jin-Xing Liu 001; Junliang Shang (IEEE J. Biomed. Health Informatics, 2023)

A multi-objective genetic algorithm based on neighborhood coevolution for community detection. - Mingyuan Bi; Junliang Shang; Xiaotong Kong; Feng Li 033; Yuanyuan Zhang 008; Jin-Xing Liu 001 (BIBM, 2024)

Integrating Local and Global Information to Decipher Spatial Domains of Spatial Transcriptomics by Attention-based Graph Convolutional Network. - Xu-Ran Dou; Yue Gao; Junliang Shang; Chun-Hou Zheng 001; Ying-Lian Gao; Jin-Xing Liu 001 (BIBM, 2024)

MNGCCL: Multi-neighborhood graph collaborative contrastive learning for drug-disease association prediction. - Cheng-Long Mi; Jin-Xing Liu 001; Xu Wang; Junliang Shang; Rong Zhu; Juan Wang 003; Ling-Yun Dai (BIBM, 2024)

SeizureGuard: an adaptive fusion converter model for seizure prediction. - Wen-Xin Pan; Rong Zhu; Jin-Xing Liu 001; Junliang Shang (BIBM, 2024)

A Multi-Scale Feature and Dual Self-Attention Mechanism for Enhanced Alzheimer's Disease Classification. - Jinfeng Wu; Xiaoshuang Zhang; Yaozu Li; Yueheng Zhang; Jinxing Liu 001; Chunhou Zheng 001; Pingsheng Wang; Xinchun Cui (BIBM, 2024)

A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection. - Linqian Zhao; Yahan Li; Junliang Shang; Qianqian Ren; Yuanyuan Zhang 008; Jin-Xing Liu 001 (BIBM, 2024)

Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. - Wenrong Hu; Junliang Shang; Juan Wang 003; Jin-Xing Liu 001; Yuxia Wang; Shasha Yuan (ICIC (LNBI 1), 2024)

Seizure Types Classification Based on Multi-branch Hybrid Deep Learning Network. - Qingwei Jia; Jin-Xing Liu 001; Junling Shang; Lingyun Dai; Yuxia Wang; Wenrong Hu; Shasha Yuan (ICIC (4), 2024)

stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics. - Jing Jing 001; Ying-Lian Gao; Yue Gao; Dao-Hui Ge; Chun-Hou Zheng 001; Jin-Xing Liu 001 (ICIC (LNBI 1), 2024)

SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. - Junliang Shang; Limin Zhang; Linqian Zhao; Xin He; Yan Zhao; Daohui Ge; Jin-Xing Liu 001; Feng Li 033 (ICIC (LNBI 1), 2024)

CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. - Junliang Shang; Yahan Li; Xiaohan Zhang; Feng Li 033; Yuanyuan Zhang 008; Jin-Xing Liu 001 (ISBRA (2), 2024)

Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics. - Shuang-Qing Wang; Cui-Na Jiao; Tian-Ru Wu; Xinchun Cui; Chun-Hou Zheng 001; Jin-Xing Liu 001 (ISBRA (1), 2024)

A framework for scRNA-seq data clustering based on multi-view feature integration. - Feng Li 033; Yang Liu; Jinxing Liu 001; Daohui Ge; Junliang Shang (Biomed. Signal Process. Control., 2024)

Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction. - Jin-Xing Liu 001; Wen-Yu Xi; Ling-Yun Dai; Chun-Hou Zheng 001; Ying-Lian Gao (CoRR, 2024)

LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network. - Wen-Yu Xi; Juan Wang 003; Yu-Lin Zhang; Jin-Xing Liu 001; Ying-Lian Gao (CoRR, 2024)

Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction. - Cui-Na Jiao; Ying-Lian Gao; Dao-Hui Ge; Junliang Shang; Jin-Xing Liu 001 (Eng. Appl. Artif. Intell., 2024)

A review of recent advances in spatially resolved transcriptomics data analysis. - Yue Gao; Ying-Lian Gao; Jing Jing 001; Feng Li 033; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Neurocomputing, 2024)

EEG-based epileptic seizure detection using deep learning techniques: A survey. - Jie Xu; Kuiting Yan; Zengqian Deng; Yankai Yang; Jin-Xin Liu 001; Juan Wang 003; Shasha Yuan (Neurocomputing, 2024)

SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model. - Yahan Li; Xinrui Cai; Junliang Shang; Yuanyuan Zhang 008; Jin-Xing Liu 001 (Quant. Biol., 2024)

Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks With Adaptively Feature-Spatial Balance and Contrastive Learning. - Xuena Liang; Junliang Shang; Jin-Xing Liu 001; Chun-Hou Zheng 001; Juan Wang 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type Identification. - Juan Wang 003; Tian-Jing Qiao; Chun-Hou Zheng 001; Jin-Xing Liu 001; Junliang Shang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. - Juan Wang 003; Zhen-Chang Wang; Shasha Yuan; Chun-Hou Zheng 001; Jin-Xing Liu 001; Junliang Shang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq. - Qi Zhu 001; Aizhen Li; Zheng Zhang 006; Chuhang Zheng; Junyong Zhao; Jin-Xing Liu 001; Daoqiang Zhang; Wei Shao 005 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

A Multiscale Hybrid Attention Networks Based on Multiview Images for the Diagnosis of Parkinson's Disease. - Xinchun Cui; Youshi Zhou; Chao Zhao; Jianlong Li; Xiangwei Zheng 001; Xiuli Li; Shixiao Shan; Jin-Xing Liu 001; Xiaoli Liu (IEEE Trans. Instrum. Meas., 2024)

SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations. - Bao-Min Liu; Ying-Lian Gao; Feng Li 033; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Knowl. Based Syst., 2024)

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. - Cui-Na Jiao; Feng Zhou 021; Bao-Min Liu; Chun-Hou Zheng 001; Jin-Xing Liu 001; Ying-Lian Gao (IEEE J. Biomed. Health Informatics, 2024)

A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. - Dai-Jun Zhang; Ying-Lian Gao; Jing-Xiu Zhao; Chun-Hou Zheng 001; Jin-Xing Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. - Cui-Na Jiao; Junliang Shang; Feng Li 033; Xinchun Cui; Yan-Li Wang; Ying-Lian Gao; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder. - Wen-Yue Kang; Ying-Lian Gao; Ying Wang 143; Feng Li 033; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data. - Tian-Ru Wu; Cui-Na Jiao; Xinchun Cui; Yan-Li Wang; Chun-Hou Zheng 001; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection. - Yuxia Wang; Shasha Yuan; Jin-Xing Liu 001; Wenrong Hu; Qingwei Jia; Fangzhou Xu (Int. J. Neural Syst., 2024)

FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights. - Qi Zhong; Junliang Shang; Qianqian Ren; Feng Li 033; Cui-Na Jiao; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering. - Qianqian Ren; Lianlian Zhang; Shaoyi Liu; Jin-Xing Liu 001; Junliang Shang; Xiyu Liu 001 (Int. J. Neural Syst., 2024)

M3HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction. - Shuang Wang; Jin-Xing Liu 001; Feng Li 033; Juan Wang 003; Ying-Lian Gao (IEEE J. Biomed. Health Informatics, 2024)

SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction. - Junliang Shang; Linqian Zhao; Xin He; Xianghan Meng; Limin Zhang; Daohui Ge; Feng Li 033; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

MGCNRF: Prediction of Disease-Related miRNAs Based on Multiple Graph Convolutional Networks and Random Forest. - Yi Yang; Yan Sun; Feng Li 033; Boxin Guan; Jin-Xing Liu 001; Junliang Shang (IEEE Trans. Neural Networks Learn. Syst., 2024)

PDA-PAGCN: Predicting Disease-Related PiRNA Based on Proxy Attention Graph Convolutional Network. - Xiaotong Kong; Xianghan Meng; Junliang Shang; Linqian Zhao; Yuanyuan Zhang; Jin-Xing Liu 001 (ICIC (26), 2025)

Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering. - Baojuan Qin; Junliang Shang; Yan Zhao; Xiaohan Zhang; Feng Li 033; Jin-Xing Liu 001 (ISBRA (1), 2025)

A Neighborhood Selection Learning Artificial Bee Colony Algorithm Based on Population Backtracking for Detecting Epistatic Interactions. - Yan Sun; Xiaoqi Tang; Linqian Zhao; Yaxuan Zhang; Junliang Shang; Feng Li 033; Jin-Xing Liu 001 (ISBRA (1), 2025)

stDGAC: A novel identifying spatial domains method via graph attention contrastive network for spatial transcriptomics data. - Jing Jing 001; Yue Gao; Ying-Lian Gao; Feng Li 033; Juan Wang 003; Jin-Xing Liu 001 (Comput. Biol. Medicine, 2025)

STDDAE: Identifying spatial domains in spatial transcriptomics by dual denoising autoencoder with attention mechanism. - Yue Gao; Ying-Lian Gao; Cui-Na Jiao; Xu-Ran Dou; Feng Li 033; Jin-Xin Liu 001 (Eng. Appl. Artif. Intell., 2025)

scCDAN: Constraint domain adaptation network for cell type annotation across single cell RNA sequencing data. - Junliang Shang; Yan Zhao; Baojuan Qin; Limin Zhang; Xianghan Meng; Daohui Ge; Jin-Xin Liu 001 (Neurocomputing, 2025)

stMHCG: High-confidence multi-view clustering for identification of spatial domains from spatially resolved transcriptomics. - Xiaohan Zhang; Junliang Shang; Yan Zhao; Baojuan Qin; Qianqian Ren; Feng Li 033; Jin-Xing Liu 001 (Neurocomputing, 2025)

AGDFCDA: Adaptive graph convolutional network and dual feature for circRNA-disease association prediction. - Yan Zhao; Xin He; Junliang Shang; Daohui Ge; Jin-Xing Liu 001 (J. Comput. Sci., 2025)

SpaMGAN: Multi-view graph augmentation network for spatial domain identification in spatial transcriptomics. - Hao Liu 075; Yue Gao; Cui-Na Jiao; Chun-Hou Zheng 001; Ying-Lian Gao; Jin-Xing Liu 001; Yan-Li Wang (Knowl. Based Syst., 2025)

pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq Data. - Yan Zhao; Junliang Shang; Baojuan Qin; Limin Zhang; Xin He; Daohui Ge; Qianqian Ren; Jin-Xin Liu 001 (IEEE J. Biomed. Health Informatics, 2025)

BIGFormer: A Graph Transformer With Local Structure Awareness for Diagnosis and Pathogenesis Identification of Alzheimer's Disease Using Imaging Genetic Data. - Qi Zou 003; Junliang Shang; Jin-Xing Liu 001; Rui Gao 006 (IEEE J. Biomed. Health Informatics, 2025)