Xiaoke Ma
Orcid: 0000-0002-5604-7137
According to our database1,
Xiaoke Ma
authored at least 84 papers
between 2010 and 2025.
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Bibliography
2025
Pattern Recognit., 2025
2024
IEEE Trans. Knowl. Data Eng., October, 2024
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024
IEEE Trans. Big Data, August, 2024
IEEE J. Biomed. Health Informatics, May, 2024
Joint learning of data recovering and graph contrastive denoising for incomplete multi-view clustering.
Inf. Fusion, April, 2024
FedBoosting: Federated learning with gradient protected boosting for text recognition.
Neurocomputing, February, 2024
Image restoration with group sparse representation and low-rank group residual learning.
IET Image Process., February, 2024
Joint Impact of Maturation Delay and Fear Effect on the Population Dynamics of a Predator-Prey System.
SIAM J. Appl. Math., 2024
Learning deep representation and discriminative features for clustering of multi-layer networks.
Neural Networks, 2024
Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering.
Neural Networks, 2024
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition.
CoRR, 2024
TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Clustering of multi-layer networks with structural relations and conservation of features.
Appl. Soft Comput., June, 2023
Inf. Sci., April, 2023
Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks.
IEEE Trans. Cybern., March, 2023
ACM Trans. Knowl. Discov. Data, 2023
Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of Features.
IEEE Trans. Cybern., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Transfer Learning Classification Algorithm by Exploiting Multi-source Adaptation and Similarity of Omic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
IEEE Trans. Comput. Soc. Syst., 2022
POTAM: A Parallel Optimal Task Allocation Mechanism for Large-Scale Delay Sensitive Mobile Edge Computing.
IEEE Trans. Commun., 2022
An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Clustering of Cancer Attributed Networks by Dynamically and Jointly Factorizing Multi-Layer Graphs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE Trans. Big Data, 2022
IEEE Trans. Big Data, 2022
Pattern Recognit., 2022
Knowl. Based Syst., 2022
Clustering of noised and heterogeneous multi-view data with graph learning and projection decomposition.
Knowl. Based Syst., 2022
Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks.
BMC Bioinform., 2022
Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types.
Briefings Bioinform., 2022
Learning discriminative and structural samples for rare cell types with deep generative model.
Briefings Bioinform., 2022
Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.
Briefings Bioinform., 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization.
ACM Trans. Knowl. Discov. Data, 2021
Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information.
Knowl. Based Syst., 2021
Detecting dynamic community by fusing network embedding and nonnegative matrix factorization.
Knowl. Based Syst., 2021
Joint nonnegative matrix factorization and network embedding for graph co-clustering.
Neurocomputing, 2021
Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization.
Neurocomputing, 2021
TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain.
BMC Bioinform., 2021
jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.
Briefings Bioinform., 2021
Embedding regularized nonnegative matrix factorization for structural reduction in multi-layer networks.
Appl. Soft Comput., 2021
Temporal Link Prediction for Cancer Networks using Structural Consistency Regularized Non-negative Matrix Factorization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Multi-view Clustering for the Integration Analysis of Gene Expression and Methylation Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Detecting community in attributed networks by dynamically exploring node attributes and topological structure.
Knowl. Based Syst., 2020
Co-regularized nonnegative matrix factorization for evolving community detection in dynamic networks.
Inf. Sci., 2020
CoRR, 2020
Joint learning dimension reduction and clustering of single-cell RNA-sequencing data.
Bioinform., 2020
Clustering of Cancer Attributed Networks via Integration of Graph Embedding and Matrix Factorization.
IEEE Access, 2020
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Discovering Cell Types by Integrating Single-cell RNA-sequencing and Protein Interaction Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2019
An Integrative Framework for Protein Interaction Network and Methylation Data to Discover Epigenetic Modules.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Nonnegative Matrix Factorization for Dynamic Modules in Cancer Attribute Temporal Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018
Fusing heterogeneous genomic data to discover cancer progression related dynamic modules.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks.
IEEE Trans. Knowl. Data Eng., 2017
Nonnegative matrix factorization algorithms for link prediction in temporal networks using graph communicability.
Pattern Recognit., 2017
Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes.
Comput. Biol. Chem., 2017
Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data.
BMC Bioinform., 2017
2016
The extraction of drug-disease correlations based on module distance in incomplete human interactome.
BMC Syst. Biol., 2016
2015
Revealing Pathway Dynamics in Heart Diseases by Analyzing Multiple Differential Networks.
PLoS Comput. Biol., 2015
2014
Bioinform., 2014
2012
Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability.
Inf. Sci., 2012
Discovering protein complexes in protein interaction networks via exploring the weak ties effect.
BMC Syst. Biol., 2012
2010
Sci. China Inf. Sci., 2010