default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJuan Wang 0003
Person information
- affiliation: Qufu Normal University, School of Information Science and Engineering, Rizhao, Shandong, China
Other persons with the same name
- Juan Wang — disambiguation page
- Juan Wang 0001 — Imperial College London, UK
- Juan Wang 0002
![[0000-0003-3124-9901]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3124-9901")
— Delta Micro Technology Inc., Laguna Hills, CA, USA (and 1 more) - Juan Wang 0004 — Shenyang Jianzhu University, Faculty of Information and Control Engineering, China (and 1 more)
- Juan Wang 0005 — Jiangsu University, School of Finance and Economics, Zhenjiang, China
- Juan Wang 0006 — Wuhan University, School of Computer, China (and 1 more)
- Juan Wang 0007 — Illinois Institute of Technology, Chicago, IL, USA
- Juan Wang 0008 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Juan Wang 0009 — Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
- Juan Wang 0010 — Tianjin University of Technology, Tianjin, China
- Juan Wang 0011 — Inner Mongolia University, School of Computer Science, Hohhot, China
- Juan Wang 0012 — Tsinghua University, Beijing, China
- Juan Wang 0013 — Huzhou University, School of Engineering, Huzhou, China
- Juan Wang 0014 — Shanghai Maritime University, Shanghai, China
- Juan Wang 0015 — Chinese Academy of Sciences, Department of Biomedical and Health Engineering, Shenzhen, China
- Juan Wang 0016 — Queen's University, Kingston, Ontario, Canada
- Juan Wang 0017 — Chengdu University of Information Technology, School of Cybersecurity, Chengdu, China
- Juan Wang 0018 — Peking University, School of Basic Medical Sciences, Beijing, China
- Juan Wang 0019 — Hubei University of Technology, Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Wuhan, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j37]Jie Xu, Kuiting Yan, Zengqian Deng, Yankai Yang, Jin-Xin Liu, Juan Wang, Shasha Yuan:
EEG-based epileptic seizure detection using deep learning techniques: A survey. Neurocomputing 610: 128644 (2024)- [j36]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): 576-588 (2024) - [j35]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): 360-371 (2024) - [j34]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): 2037-2046 (2024) - [j33]Shuang Wang, Jin-Xing Liu, Feng Li, Juan Wang, Ying-Lian Gao:
M3HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(10): 6259-6267 (2024) - 2023
- [j32]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: 107862 (2023) - [j31]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): 848-860 (2023) - [j30]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): 926-936 (2023) - [j29]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): 937-947 (2023) - [j28]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): 1386-1396 (2023) - [j27]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): 2575-2584 (2023) - [j26]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): 3686-3694 (2023) - [j25]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): 5187-5198 (2023) - [j24]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): 5199-5209 (2023) - 2022
- [j23]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): 8572-8587 (2022) - [j22]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) - [j21]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. 22-S(12): 334 (2022) - [j20]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): 381 (2022) - [j19]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): 2250002:1-2250002:20 (2022) - [j18]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): 2420-2430 (2022) - [j17]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): 1872-1882 (2022) - [j16]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): 3556-3566 (2022) - [j15]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): 3578-3589 (2022) - 2021
- [j14]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): 276-287 (2021) - [j13]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): 2375-2383 (2021) - [j12]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): 881-890 (2021) - 2020
- [j11]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: 3917812:1-3917812:10 (2020) - [j10]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: 4865738:1-4865738:13 (2020) - [j9]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): 1823-1834 (2020) - 2019
- [j8]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): 5 (2019) - [j7]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): 353:1-353:10 (2019) - [j6]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. 20-S(22): 718 (2019) - [j5]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. 20-S(25): 686 (2019) - [j4]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: 474-480 (2019) - [j3]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: 504-509 (2019) - [j2]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: 6136245:1-6136245:13 (2019) - [j1]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): 172-182 (2019)
Conference and Workshop Papers
- 2024
- [c23]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: 370-379 - 2023
- [c22]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: 233-236 - [c21]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: 3200-3207 - [c20]Kuiting Yan, Junliang Shang, Juan Wang, Jie Xu, Shasha Yuan:
Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram. ICIC (2) 2023: 272-282 - [c19]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: 308-319 - [c18]Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang:
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA 2023: 178-189 - [c17]Tai-Ge Wang, Xiang-Zhen Kong, Shengjun Li, Juan Wang:
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification. ISBRA 2023: 541-551 - 2022
- [c16]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: 2162-2168 - [c15]Xin Chu, 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: 2832-2838 - [c14]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: 3179-3186 - [c13]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: 1-8 - [c12]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: 126-137 - [c11]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: 159-168 - [c10]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: 80-93 - 2021
- [c9]He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai:
Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA 2021: 499-510 - 2020
- [c8]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: 92-95 - [c7]Yu-Ying Zhao, Maoli 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: 397-401 - [c6]Chang-Gang Wen, Jin-Xing Liu, Lei Qin, Juan Wang, Yun Fang:
Essential Proteins Identification Based on Integrated Network. ICIC (1) 2020: 81-91 - 2018
- [c5]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: 578-582 - [c4]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: 419-431 - 2017
- [c3]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: 1752-1756 - 2016
- [c2]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: 1795-1799 - 2009
- [c1]Chun-Hou Zheng, Feng-Ling Wu, Bo Li, Juan Wang:
Constrained Maximum Variance Mapping for Tumor Classification. ICIC (1) 2009: 102-111
Informal and Other Publications
- 2024
- [i1]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 abs/2406.03406 (2024)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-04 21:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
