Junliang Shang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 88

Top Topics

Matrix Factorization

Clustering Method

Feature Extraction

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. ICIC (LNBI 1) (2024)
Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan
Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. ICIC (LNBI 1) (2024)
Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang
A framework for scRNA-seq data clustering based on multi-view feature integration. Biomed. Signal Process. Control. 89 (2024)
Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Yahan Li, Xinrui Cai, Junliang Shang, Yuanyuan Zhang, Jin-Xing Liu
SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model. Quant. Biol. 12 (2) (2024)
Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Cui-Na Jiao, Ying-Lian Gao, Daohui Ge, Junliang Shang, Jin-Xing Liu
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction. Eng. Appl. Artif. Intell. 130 (2024)
Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (3) (2024)
Yuanyuan Zhang, Zengqian Deng, Xiaoyu Xu, Yinfei Feng, Junliang Shang
Application of Artificial Intelligence in Drug-Drug Interactions Prediction: A Review. J. Chem. Inf. Model. 64 (7) (2024)
Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data. Quant. Biol. 12 (2) (2024)
Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. ISBRA (2) (2024)
Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. 30 (8) (2023)
Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. ICIC (3) (2023)
Juan Wang, Lin-Ping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Ying Wang, Jin-Xing Liu, Juan Wang, Junliang Shang, Ying-Lian Gao
A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations. J. Comput. Biol. 30 (8) (2023)
Jie Xu, Juan Wang, Jin-Xing Liu, Junliang Shang, Lingyun Dai, Kuiting Yan, Shasha Yuan
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. ICIC (2) (2023)
Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. ISBRA (2023)
Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. BIBM (2023)
Kuiting Yan, Junliang Shang, Juan Wang, Jie Xu, Shasha Yuan
Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram. ICIC (2) (2023)
Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun
Crow Search Algorithm Based on Information Interaction for Epistasis Detection. BIBM (2023)
Juan Wang, Na-Na Zhang, Junliang Shang, Jin-Xing Liu
scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization. BIBM (2023)
Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu
Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection. J. Comput. Biol. 30 (8) (2023)
Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinform. 24 (1) (2023)
Lin-Ping Wang, Jin-Xing Liu, Junliang Shang, Xiangzhen Kong, Boxin Guan, Juan Wang
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. Comput. Biol. Chem. 104 (2023)
Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework. BIBM (2023)
Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. BIBM (2023)
Junliang Shang, Yijun Gu, Yan Sun, Feng Li, Jin-Xin Liu, Boxin Guan
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection. BIBM (2022)
Zhensheng Sun, Junliang Shang, Hongyu Duan, Jin-Xing Liu, Xikui Liu, Yan Li, Feng Li
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification. ICIC (2) (2022)
Tian-Jing Qiao, Na-Na Zhang, Jin-Xing Liu, Junliang Shang, Cui-Na Jiao, Juan Wang
THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. SDSC (2022)
Mingrui Zhang, Junliang Shang, Tongdui Zhang, Qianqian Ren, Guozheng Zhang, Yan Sun
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks. BIBM (2022)
Han Li, Feng Li, Junliang Shang, Xikui Liu, Yan Li
A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes. ISBRA (2022)
Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. ISBRA (2022)
Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Gener. Comput. Syst. 134 (2022)
Rong Zhu, Hua-Hui Gao, Junliang Shang, Ling-Yun Dai
KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT. BIBM (2022)
Sheng-Nan Zhang, Yu-Lin Zhang, Jin-Xing Liu, Juan Wang, Junliang Shang, Dao-Hui Ge
Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. BIBM (2022)
Hongyu Duan, Feng Li, Xin Chu, Zhensheng Sun, Junliang Shang, Xikui Liu, Yan Li
scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types. BIBM (2022)
Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA (2022)
XinChu, Feng Li, Hongyu Duan, Junliang Shang, Juan Wang, Jin-Xing Liu
Identification of cancer driver modules by combining network functional and topology information. BIBM (2022)
Guo-Zheng Zhang, Shu-Zhen Li, Xu-Ran Dou, Junliang Shang, Qian-Qian Ren, Ying-Lian Gao
Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation. BIBM (2022)
Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. ISBRA (2022)
Ying Wang, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction. ISBRA (2022)
Liang-Rui Ren, Ying-Lian Gao, Junliang Shang, Jin-Xing Liu
Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification. Int. J. Mach. Learn. Cybern. 13 (1) (2022)
Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. 31 (5) (2021)
Xiguo Yuan, Jiaao Yu, Jianing Xi, Liying Yang, Junliang Shang, Zhe Li, Junbo Duan
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Junliang Shang
Sparse robust graph-regularized non-negative matrix factorization based on correntropy. J. Bioinform. Comput. Biol. 19 (1) (2021)
Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Junliang Shang
DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Junliang Shang, Jing Wang, Yan Sun, Feng Li, Jin-Xing Liu, Honghai Zhang
Multiscale part mutual information for quantifying nonlinear direct associations in networks. Bioinform. 37 (18) (2021)
Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. ISBRA (2021)
Junliang Shang, Yiting Li, Yan Sun, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection. Symmetry 13 (1) (2021)
Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yuxia Lei, Junliang Shang, Xiang-Zhen Kong
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. BIBM (2020)
Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM (2020)
Wenwen Fan, Junliang Shang, Feng Li, Yan Sun, Shasha Yuan, Jin-Xing Liu
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method. BMC Bioinform. 21 (1) (2020)
Ziqi Wang, Yuanyuan Zhang, Shudong Wang, Junliang Shang
SINE: Second-Order Information Network Embedding. IEEE Access 8 (2020)
Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. BMC Bioinform. 21 (1) (2020)
Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Xiujuan Lei
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. (22) (2019)
Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinform. 20 (1) (2019)
Qian Ding, Yan Sun, Junliang Shang, Yuanyuan Zhang, Feng Li, Jin-Xing Liu
Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis. IDMB (2019)
Qian Ding, Junliang Shang, Yingxia Sun, Xuan Wang, Jin-Xing Liu
HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions. Comput. Biol. Chem. 78 (2019)
Qian Ding, Junliang Shang, Yan Sun, Guangshuai Liu, Feng Li, Xiguo Yuan, Jin-Xing Liu
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers. IEEE Access 7 (2019)
Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong, Junliang Shang
Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. 78 (2019)
Junliang Shang, Xuan Wang, Xiaoyang Wu, Yingxia Sun, Qian Ding, Jin-Xing Liu, Honghai Zhang
A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions. IEEE Access 7 (2019)
Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. J. Comput. Biol. 26 (8) (2019)
Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. ICIC (2) (2018)
Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiang-Zhen Kong, Ling-Yun Dai
Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) (2018)
Na Yu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang
Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection. BIBM (2018)
Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features. ISBRA (2018)
Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM (2017)
Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu
-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. Neurocomputing 228 (2017)
Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. BioData Min. 10 (1) (2017)
Jin-Xing Liu, Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Sha-Sha Wu, Junliang Shang
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition. BMC Syst. Biol. 11 (6) (2017)
Yao Lu, Jin-Xing Liu, Xiangzhen Kong, Junliang Shang
A convex multi-view low-rank sparse regression for feature selection and clustering. BIBM (2017)
Junliang Shang, Yingxia Sun, Jin-Xing Liu, Junfeng Xia, Junying Zhang, Chun-Hou Zheng
-order epistatic interactions. BMC Bioinform. 17 (2016)
Shengjun Li, Junliang Shang, Qinliang Chen, Yan Sun, Jin-Xing Liu
A compressed sensing based two-stage method for detecting epistatic interactions. Int. J. Data Min. Bioinform. 14 (4) (2016)
Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang
Differentially expressed genes selection via Laplacian regularized low-rank representation method. Comput. Biol. Chem. 65 (2016)
Wenxiang Zhang, Junliang Shang, Huiyu Li, Yingxia Sun, Jin-Xing Liu
SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions. ICIC (1) (2016)
Shengjun Li, Junliang Shang, Jin-Xing Liu, Huiyu Li
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes. ICIC (2) (2016)
Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. BIBM (2016)
Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li
An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions. ICIC (3) (2016)
Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Sha-Sha Wu, Junliang Shang
L21-iPaD: An efficient method for drug-pathway association pairs inference. BIBM (2016)
Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data. ICIC (2) (2016)
Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang
Gene Extraction Based on Sparse Singular Value Decomposition. ICIC (1) (2016)
Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang
Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) (2015)
Junliang Shang, Yan Sun, Yun Fang, Shengjun Li, Jin-Xing Liu, Yuanke Zhang
Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders. ICIC (2) (2015)
Junliang Shang, Junying Zhang, Yan Sun, Yuanke Zhang
EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions. Digit. Signal Process. 24 (2014)
Junliang Shang, Junying Zhang, Yan Sun, Dan Liu, Daojun Ye, Yaling Yin
Performance analysis of novel methods for detecting epistasis. BMC Bioinform. 12 (2011)