Juan Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 51

Top Topics

Matrix Factorization

Clustering Method

Principal Component Analysis

Top Venues

IEEE J. Biomed. Health Informatics

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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)
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)
Wen-Yu Xi, Juan Wang, Yu-Lin Zhang, Jin-Xing Liu, Ying-Lian Gao
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network. CoRR (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)
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. 31 (6) (2024)
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)
Ying Wang, Ying-Lian Gao, Juan Wang, Feng Li, Jin-Xing Liu
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder. IEEE J. Biomed. Health Informatics 27 (7) (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)
Tai-Ge Wang, Xiang-Zhen Kong, Shengjun Li, Juan Wang
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification. ISBRA (2023)
Yi Shen, Ying-Lian Gao, Juan Wang, Boxin Guan, Jin-Xing Liu
Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning. J. Comput. Biol. 30 (8) (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)
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)
Ying-Lian Gao, Qian Qiao, Juan Wang, Shasha Yuan, Jin-Xing Liu
BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA (2023)
He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. 23 (1) (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)
Juan Wang, Li-Hong Wang, Tian-Jing Qiao, Shasha Yuan
A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data. BIBM (2022)
Hang-Jin Yang, Yuxia Lei, Juan Wang, Xiang-Zhen Kong, Jin-Xing Liu, Ying-Lian Gao
Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. J. Bioinform. Comput. Biol. 20 (2) (2022)
Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. Briefings Bioinform. 23 (6) (2022)
Juan Wang, Li-Hong Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shengjun Li
Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. IEEE J. Biomed. Health Informatics 26 (7) (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)
Zhen-Xin Niu, Cui-Na Jiao, Liang-Rui Ren, Rong Zhu, Juan Wang, Jin-Xing Liu
Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification. Appl. Intell. 52 (8) (2022)
Juan Wang, Cong-Hai Lu, Xiang-Zhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. (12) (2022)
Na-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints. IEEE J. Biomed. Health Informatics 26 (7) (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)
Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (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)
Chuan-Yuan Wang, Na Yu, Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. 36 (2) (2021)
Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Juan Wang, Jin-Xing Liu
Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Chang-Gang Wen, Jin-Xing Liu, Lei Qin, Juan Wang, Yun Fang
Essential Proteins Identification Based on Integrated Network. ICIC (1) (2020)
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. 2020 (2020)
Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Yu-Ying Zhao, Mao-Li Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM (2020)
Ling-Yun Dai, Rong Zhu, Juan Wang
Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis. Complex. 2020 (2020)
Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM (2020)
Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiang-Zhen Kong
Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. 78 (2019)
Juan Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shasha Yuan, Ling-Yun Dai
Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. 78 (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)
Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinform. 20 (1) (2019)
Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. BMC Bioinform. (25) (2019)
Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Shengjun Li, Juan Wang
Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method. Complex. 2019 (2019)
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong
Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. (22) (2019)
Shasha Wu, Mi-Xiao Hou, Jin-Xing Liu, Juan Wang, Shasha Yuan
Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated 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)
Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. BIBM (2017)
Chun-Mei Feng, Jin-Xing Liu, Ying-Lian Gao, Juan Wang, Dong-Qin Wang, Yong Du
A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. BIBM (2016)