Juan Wang - RankMe

80 papers Journal 49Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hierarchical Attention-Based Negative Sampling Method for Drug Repositioning Using Neighborhood Interaction Fusion. IEEE J. Biomed. Health Informatics Cheng-Long Mi, Ling-Yun Dai, Junliang Shang, Rong Zhu, Juan Wang, Feng Li
2026	J	`jnl`	A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associations. Comput. Biol. Chem. Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Junliang Shang, Feng Li, Juan Wang, Rong Zhu
2026	J	`jnl`	Autoencoder-aided graph convolutional networks integrating multi-view and multi-scale for improving spatial domain identification. Knowl. Based Syst. Juan Wang, Xuena Liang, Shasha Yuan, Jin-Xing Liu, Junliang Shang
2026	J	`jnl`	Cluster-Guided Contrastive Learning With Masked Autoencoder for Spatial Domain Identification Based on Spatial Transcriptomics. IEEE J. Biomed. Health Informatics Juan Wang, Qi Gao, Shasha Yuan, Junliang Shang
2026	J	`jnl`	MLRR-ATV: A Robust Manifold Nonnegative Low-Rank Representation With Adaptive Total-Variation Regularization for scRNA-seq Data Clustering. IEEE Trans. Comput. Biol. Bioinform. Gao-Fei Wang, Juan Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu
2026	J	`jnl`	TAVC: Utilizing a variational clustering-based transformation-enhanced attention mechanism for spatial domain recognition. Biomed. Signal Process. Control. Yifan Dai, Xiangzhen Kong, Lingyun Dai, Shengjun Li, Juan Wang
2025	J	`jnl`	A Contrastive Learning-Enhanced Residual Network for Predicting Epileptic Seizures Using EEG Signals. Int. J. Neural Syst. Longfei Qi, Shasha Yuan, Feng Li, Junliang Shang, Juan Wang, Shihan Wang
2025	J	`jnl`	A Modified Transformer Network for Seizure Detection Using EEG Signals. Int. J. Neural Syst. Wenrong Hu, Juan Wang, Feng Li, Daohui Ge, Yuxia Wang, Qingwei Jia, Shasha Yuan
2025	—	`conf`	Epileptic Seizure Detection Using ECA-EEGNet with Earth Mover's Distance-Based Metric Learning. BIBM Shihan Wang, Junliang Shang, Juan Wang, Longfei Qi, Shasha Yuan
2025	—	`conf`	GAEKLRR: A novel clustering method of the low-rank representation based on graph auto-encoder and relaxed k-means for single-cell type identification. BIBM Linping Wang, Junliang Shang, Lingyun Dai, Juan Wang
2025	—	`conf`	Low-Rank Multiple Kernel Model Based on Local Structures Learning and Adaptive Similarity Preserving for scRNA-seq Data Clustering. ICIC (25) Juan Wang, Tian-Jing Qiao, Zhenduo Zhang, Chun-Hou Zheng, Shasha Yuan
2025	—	`conf`	MGAMDA: Multi Source Similarity Fusion-Based Graph Convolutional Neural Network and Attention Mechanism Network for Predicting MiRNA-Disease Associations. BIBM Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Juan Wang, Rong Zhu, Feng Li
2025	—	`conf`	Spatial Multi-Omics Integration Via Information-Aware Multi-View Contrastive Learning. BIBM Conghui Zhang, Ling-Yun Dai, Rong Zhu, Juan Wang, Junliang Shang, Feng Li
2025	—	`conf`	scGZDC: Graph-Based ZINB Deep Clustering for Single-Cell RNA-Seq Data. BIBM Hui-Bo Tian, Xiangzhen Kong, Jin-Xing Liu, Junliang Shang, Juan Wang, Ling-Yun Dai
2025	J	`jnl`	stDGAC: A novel identifying spatial domains method via graph attention contrastive network for spatial transcriptomics data. Comput. Biol. Medicine Jing Jing, Yue Gao, Ying-Lian Gao, Feng Li, Juan Wang, Jin-Xing Liu
2024	J	`jnl`	A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
2024	J	`jnl`	A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2024	J	`jnl`	A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type Identification. IEEE ACM Trans. Comput. Biol. Bioinform. Juan Wang, Tian-Jing Qiao, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
2024	—	`conf`	Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. ICIC (LNBI 1) Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan
2024	J	`jnl`	EEG-based epileptic seizure detection using deep learning techniques: A survey. Neurocomputing Jie Xu, Kuiting Yan, Zengqian Deng, Yankai Yang, Jin-Xin Liu, Juan Wang, Shasha Yuan
2024	J	`jnl`	Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks With Adaptively Feature-Spatial Balance and Contrastive Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Xuena Liang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2024	—	`conf`	Improve spatial domain identification for spatial transcriptomics using high-order neighbor feature hybrid graph convolutional networks. BIBM Xuena Liang, Shasha Yuan, Shengjun Li, Juan Wang
2024	J	`jnl`	LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network. CoRR Wen-Yu Xi, Juan Wang, Yu-lin Zhang, Jin-Xing Liu, Ying-Lian Gao
2024	J	`jnl`	M IEEE J. Biomed. Health Informatics Shuang Wang, Jin-Xing Liu, Feng Li, Juan Wang, Ying-Lian Gao
2024	—	`conf`	MNGCCL: Multi-neighborhood graph collaborative contrastive learning for drug-disease association prediction. BIBM Cheng-Long Mi, Jin-Xing Liu, Xu Wang, Junliang Shang, Rong Zhu, Juan Wang, Ling-Yun Dai
2024	J	`jnl`	Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. IEEE J. Biomed. Health Informatics Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang
2023	J	`jnl`	A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations. J. Comput. Biol. Ying Wang, Jin-Xing Liu, Juan Wang, Junliang Shang, Ying-Lian Gao
2023	J	`jnl`	A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang
2023	J	`jnl`	ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
2023	J	`jnl`	Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. IEEE J. Biomed. Health Informatics Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou
2023	J	`jnl`	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 Ying-Lian Gao, Qian Qiao, Juan Wang, Shasha Yuan, Jin-Xing Liu
2023	—	`conf`	CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification. ISBRA Tai-Ge Wang, Xiang-Zhen Kong, Shengjun Li, Juan Wang
2023	—	`conf`	Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. ICIC (2) Jie Xu, Juan Wang, Jin-Xing Liu, Junliang Shang, Lingyun Dai, Kuiting Yan, Shasha Yuan
2023	—	`conf`	GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. BIBM Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
2023	J	`jnl`	Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning. J. Comput. Biol. Yi Shen, Ying-Lian Gao, Juan Wang, Boxin Guan, Jin-Xing Liu
2023	J	`jnl`	KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. Comput. Biol. Chem. Linping Wang, Jin-Xing Liu, Junliang Shang, Xiangzhen Kong, Boxin Guan, Juan Wang
2023	J	`jnl`	MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder. IEEE J. Biomed. Health Informatics Ying Wang, Ying-Lian Gao, Juan Wang, Feng Li, Jin-Xing Liu
2023	J	`jnl`	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 Juan Wang, Linping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang
2023	—	`conf`	Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram. ICIC (2) Kuiting Yan, Junliang Shang, Juan Wang, Jie Xu, Shasha Yuan
2023	—	`conf`	scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2023	—	`conf`	scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization. BIBM Juan Wang, Na-Na Zhang, Junliang Shang, Jin-Xing Liu
2022	—	`conf`	A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data. BIBM Juan Wang, Li-Hong Wang, Tian-Jing Qiao, Shasha Yuan
2022	J	`jnl`	A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong
2022	J	`jnl`	A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. Briefings Bioinform. Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu
2022	—	`conf`	ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
2022	—	`conf`	Identification of cancer driver modules by combining network functional and topology information. BIBM Xin Chu, Feng Li, Hongyu Duan, Junliang Shang, Juan Wang, Jin-Xing Liu
2022	J	`jnl`	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. Zhen-Xin Niu, Cui-Na Jiao, Liang-Rui Ren, Rong Zhu, Juan Wang, Jin-Xing Liu
2022	—	`conf`	MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction. ISBRA Ying Wang, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
2022	J	`jnl`	Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. IEEE J. Biomed. Health Informatics Juan Wang, Li-Hong Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shengjun Li
2022	J	`jnl`	Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. Juan Wang, Cong-Hai Lu, Xiangzhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
2022	J	`jnl`	Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2022	J	`jnl`	SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints. IEEE J. Biomed. Health Informatics Na-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2022	—	`conf`	TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. ISBRA Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang
2022	—	`conf`	THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. SDSC Tian-Jing Qiao, Na-Na Zhang, Jin-Xing Liu, Junliang Shang, Cui-Na Jiao, Juan Wang
2022	—	`conf`	Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. BIBM Sheng-Nan Zhang, Yu-lin Zhang, Jin-Xing Liu, Juan Wang, Junliang Shang, Dao-Hui Ge
2022	J	`jnl`	Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. J. Bioinform. Comput. Biol. Hang-Jin Yang, Yuxia Lei, Juan Wang, Xiang-Zhen Kong, Jin-Xing Liu, Ying-Lian Gao
2022	J	`jnl`	Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. IEEE J. Biomed. Health Informatics Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng
2021	J	`jnl`	Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Chuan-Yuan Wang, Na Yu, Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang
2021	—	`conf`	Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA He-Ming Chu, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2021	J	`jnl`	Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan
2021	J	`jnl`	Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Juan Wang, Jin-Xing Liu
2020	J	`jnl`	Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiangzhen Kong
2020	—	`conf`	Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM Yu Song, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2020	—	`conf`	Essential Proteins Identification Based on Integrated Network. ICIC (1) Chang-Gang Wen, Jin-Xing Liu, Lei Qin, Juan Wang, Yun Fang
2020	J	`jnl`	Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2020	J	`jnl`	Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis. Complex. Ling-Yun Dai, Rong Zhu, Juan Wang
2020	—	`conf`	Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM Yu-Ying Zhao, Maoli Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong
2019	J	`jnl`	A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen
2019	J	`jnl`	Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method. Complex. Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Shengjun Li, Juan Wang
2019	J	`jnl`	Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiangzhen Kong
2019	J	`jnl`	Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. Juan Wang, Jin-Xing Liu, Xiangzhen Kong, Shasha Yuan, Ling-Yun Dai
2019	J	`jnl`	Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiangzhen Kong
2019	J	`jnl`	NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinform. Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng
2019	J	`jnl`	RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. BMC Bioinform. Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang
2019	J	`jnl`	The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinform. Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai
2018	—	`conf`	Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection. BIBM Na Yu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang
2018	—	`conf`	Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data. ICIC (2) Shasha Wu, Mi-Xiao Hou, Jin-Xing Liu, Juan Wang, Shasha Yuan
2017	—	`conf`	Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. BIBM Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu
2016	—	`conf`	A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. BIBM Chun-Mei Feng, Jin-Xing Liu, Ying-Lian Gao, Juan Wang, Dong-Qin Wang, Yong Du
2009	—	`conf`	Constrained Maximum Variance Mapping for Tumor Classification. ICIC (1) Chun-Hou Zheng, Feng-Ling Wu, Bo Li, Juan Wang