Xiaoke Ma

According to our database, Xiaoke Ma authored at least 74 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Group link prediction in bipartite graphs with graph neural networks.

Shijie Luo, He Li, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Shaojie Qiao, Jaesoo Yoo

Pattern Recognit., 2025

Learning multi-level topology representation for multi-view clustering with deep non-negative matrix factorization.

Zengfa Dou, Nian Peng, Weiming Hou, Xianghua Xie, Xiaoke Ma

Neural Networks, 2025

One-step Multi-view Spectral Clustering with Subspaces Fusion on Grassmann manifold.

Zengfa Dou, Haodong Ren, Yaxiong Ma, Yue Gao, Guohua Huang, Xiaoke Ma

Neurocomputing, 2025

2024

Noised Multi-Layer Networks Clustering With Graph Denoising and Structure Learning.

Wenming Wu, Wensheng Zhang, Maoguo Gong, Xiaoke Ma

IEEE Trans. Knowl. Data Eng., October, 2024

Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks.

Yun Ai, Xianghua Xie, Xiaoke Ma

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Graph Contrastive Learning for Clustering of Multi-Layer Networks.

Yifei Yang, Xiaoke Ma

IEEE Trans. Big Data, August, 2024

Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data.

Haiyue Wang, Zaiyi Liu, Xiaoke Ma

IEEE J. Biomed. Health Informatics, May, 2024

Joint learning of data recovering and graph contrastive denoising for incomplete multi-view clustering.

Haiyue Wang, Quan Wang, Qiguang Miao, Xiaoke Ma

Inf. Fusion, April, 2024

FedBoosting: Federated learning with gradient protected boosting for text recognition.

Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang

Neurocomputing, February, 2024

Image restoration with group sparse representation and low-rank group residual learning.

Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma

IET Image Process., February, 2024

Learning deep representation and discriminative features for clustering of multi-layer networks.

Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Gao

Neural Networks, 2024

Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering.

Haiyue Wang, Wensheng Zhang, Xiaoke Ma

Neural Networks, 2024

Clustering dynamic networks by discriminating roles of vertices and capturing temporality with subsequent feature projection.

Yaxiong Ma, Yue Gao, Zengfa Dou, Guohua Huang, Xiaoke Ma

Knowl. Based Syst., 2024

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition.

Chen Hu, Jingjing Deng, Xianghua Xie, Xiaoke Ma

CoRR, 2024

TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System.

Dongxiao He, Jinghan Zhang, Xiaobao Wang, Meng Ge, Zhiyong Feng, Longbiao Wang, Xiaoke Ma

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation.

Yiming Li, Hanchi Ren, Jingjing Deng, Xiaoke Ma, Xianghua Xie

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Clustering of multi-layer networks with structural relations and conservation of features.

Wentao Jia, Xiaoke Ma

Appl. Soft Comput., June, 2023

AnomMAN: Detect anomalies on multi-view attributed networks.

Linghao Chen, He Li, Wanyuan Zhang, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Ning Li, Jaesoo Yoo

Inf. Sci., May, 2023

Learning specific and conserved features of multi-layer networks.

Wenming Wu, Tao Yang, Xiaoke Ma, Wensheng Zhang, He Li, Jianbin Huang, Yanni Li, Jiangtao Cui

Inf. Sci., April, 2023

Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks.

Dongyuan Li, Xiaoke Ma, Maoguo Gong

IEEE Trans. Cybern., March, 2023

DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction.

He Li, Duo Jin, Xuejiao Li, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Deshuang Huang, Shaojie Qiao, Jaesoo Yoo

ACM Trans. Knowl. Discov. Data, 2023

Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of Features.

Wenming Wu, Maoguo Gong, Xiaoke Ma

IEEE Trans. Cybern., 2023

Multi-View Clustering With Graph Learning for scRNA-Seq Data.

Wenming Wu, Wensheng Zhang, Weimin Hou, Xiaoke Ma

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data.

Wenming Wu, Xiaoke Ma

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Layer-Specific Modules Detection in Cancer Multi-Layer Networks.

Xiaoke Ma, Wei Zhao, Wenming Wu

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.

Xiaowei Gao, Yan Wang, Weimin Hou, Zaiyi Liu, Xiaoke Ma

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Gradient Leakage Defense with Key-Lock Module for Federated Learning.

Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma

CoRR, 2023

Generative Graph Neural Networks for Link Prediction.

Xingping Xian, Tao Wu, Xiaoke Ma, Shaojie Qiao, Yabin Shao, Chao Wang, Lin Yuan, Yu Wu

CoRR, 2023

2022

Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms.

Jianbin Huang, Longji Huang, Meijuan Liu, He Li, Qinglin Tan, Xiaoke Ma, Jiangtao Cui, De-Shuang Huang

ACM Trans. Intell. Syst. Technol., 2022

Edge Repartitioning via Structure-Aware Group Migration.

He Li, Hang Yuan, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Jaesoo Yoo

IEEE Trans. Comput. Soc. Syst., 2022

POTAM: A Parallel Optimal Task Allocation Mechanism for Large-Scale Delay Sensitive Mobile Edge Computing.

Xiaoxiong Zhong, Xinghan Wang, Tingting Yang, Yuanyuan Yang, Yang Qin, Xiaoke Ma

IEEE Trans. Commun., 2022

An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition.

Xiaoke Ma, Peng Gang Sun, Maoguo Gong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Dynamic Module Detection in Temporal Attributed Networks of Cancers.

Dongyuan Li, Shuyao Zhang, Xiaoke Ma

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Clustering of Cancer Attributed Networks by Dynamically and Jointly Factorizing Multi-Layer Graphs.

Zhihao Huang, Yan Wang, Xiaoke Ma

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Two-Phase Method to Balance the Result of Distributed Graph Repartitioning.

He Li, Jianbin Huang, Hang Yuan, Jiangtao Cui, Xiaoke Ma, Shaojie Qiao, Xindong Wu

IEEE Trans. Big Data, 2022

Multi-View Clustering With Self-Representation and Structural Constraint.

Xiaowei Gao, Xiaoke Ma, Wensheng Zhang, Jianbin Huang, He Li, Yanni Li, Jiangtao Cui

IEEE Trans. Big Data, 2022

Joint multi-label learning and feature extraction for temporal link prediction.

Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng

Pattern Recognit., 2022

Multi-view clustering with constructed bipartite graph in embedding space.

Benhui Zhang, Xiaoke Ma

Knowl. Based Syst., 2022

Clustering of noised and heterogeneous multi-view data with graph learning and projection decomposition.

Haiyue Wang, Wensheng Zhang, Xiaoke Ma

Knowl. Based Syst., 2022

A hybrid method of detecting flame from video stream.

Zengfa Dou, Xiaoke Ma, Xianghua Xie, Hui Liu, Chubing Guo

IET Image Process., 2022

Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks.

Fei Song, Shiyin Tan, Zengfa Dou, Xiaogang Liu, Xiaoke Ma

BMC Bioinform., 2022

Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types.

Wenming Wu, Wensheng Zhang, Xiaoke Ma

Briefings Bioinform., 2022

Learning discriminative and structural samples for rare cell types with deep generative model.

Haiyue Wang, Xiaoke Ma

Briefings Bioinform., 2022

Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.

Haiyue Wang, Xiaoke Ma

Briefings Bioinform., 2022

2021

Group Reassignment for Dynamic Edge Partitioning.

He Li, Hang Yuan, Jianbin Huang, Jiangtao Cui, Xiaoke Ma, Senzhang Wang, Jaesoo Yoo, Philip S. Yu

IEEE Trans. Parallel Distributed Syst., 2021

Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization.

Benhui Zhang, Maoguo Gong, Jianbin Huang, Xiaoke Ma

ACM Trans. Knowl. Discov. Data, 2021

Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information.

Changzhou Ma, Qiang Lin, Yong Lin, Xiaoke Ma

Knowl. Based Syst., 2021

Detecting dynamic community by fusing network embedding and nonnegative matrix factorization.

Dongyuan Li, Xiaoxiong Zhong, Zengfa Dou, Maoguo Gong, Xiaoke Ma

Knowl. Based Syst., 2021

Joint nonnegative matrix factorization and network embedding for graph co-clustering.

Yan Wang, Xiaoke Ma

Neurocomputing, 2021

Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization.

Dongyuan Li, Qiang Lin, Xiaoke Ma

Neurocomputing, 2021

TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain.

Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma

BMC Bioinform., 2021

jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.

Wenming Wu, Zaiyi Liu, Xiaoke Ma

Briefings Bioinform., 2021

Embedding regularized nonnegative matrix factorization for structural reduction in multi-layer networks.

Zhihao Huang, Zengfa Dou, Xiaoke Ma

Appl. Soft Comput., 2021

Temporal Link Prediction for Cancer Networks using Structural Consistency Regularized Non-negative Matrix Factorization.

Junyao Zhang, Xiaogang Liu, Xiaoke Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Transfer Learning for Gene Ranking across Cancers.

Fei Song, Xiaogang Liu, Xiaoke Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-view Clustering for the Integration Analysis of Gene Expression and Methylation Data.

Xiaowei Gao, Xiaogang Liu, Xiaoke Ma

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.

Zhihao Huang, Xiaoxiong Zhong, Qiang Wang, Maoguo Gong, Xiaoke Ma

Knowl. Based Syst., 2020

Co-regularized nonnegative matrix factorization for evolving community detection in dynamic networks.

Xiaoke Ma, Benhui Zhang, Changzhou Ma, Zhiyu Ma

Inf. Sci., 2020

A Parallel Optimal Task Allocation Mechanism for Large-Scale Mobile Edge Computing.

Xiaoxiong Zhong, Xinghan Wang, Yuanyuan Yang, Yang Qin, Xiaoke Ma, Tingting Yang

CoRR, 2020

Joint learning dimension reduction and clustering of single-cell RNA-sequencing data.

Wenming Wu, Xiaoke Ma

Bioinform., 2020

Clustering of Cancer Attributed Networks via Integration of Graph Embedding and Matrix Factorization.

Qiang Lin, Yong Lin, Qiang Yu, Xiaoke Ma

IEEE Access, 2020

A Task Allocation Framework for Large-Scale Mobile Edge Computing.

Xinghan Wang, Xiaoxiong Zhong, Yanbin Zheng, Xiaoke Ma, Tingting Yang, Genglin Zhang

Proceedings of the IEEE Global Communications Conference, 2020

2019

Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization.

Xiaoke Ma, Di Dong, Quan Wang

IEEE Trans. Knowl. Data Eng., 2019

An Integrative Framework for Protein Interaction Network and Methylation Data to Discover Epigenetic Modules.

Xiaoke Ma, Penggang Sun, Zhong-Yuan Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2018

Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression.

Xiaoke Ma, Wanxin Tang, Peizhuo Wang, Xingli Guo, Lin Gao

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Identifying Condition-Specific Modules by Clustering Multiple Networks.

Xiaoke Ma, Penggang Sun, Guimin Qin

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017

Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks.

Xiaoke Ma, Di Dong

IEEE Trans. Knowl. Data Eng., 2017

Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes.

Xiaoke Ma, Liang Yu, Peizhuo Wang, Xiaofei Yang

Comput. Biol. Chem., 2017

2016

The extraction of drug-disease correlations based on module distance in incomplete human interactome.

Liang Yu, Bingbo Wang, Xiaoke Ma, Lin Gao

BMC Syst. Biol., 2016

2015

Revealing Pathway Dynamics in Heart Diseases by Analyzing Multiple Differential Networks.

Xiaoke Ma, Long Gao, Georgios Karamanlidis, Peng Gao, Chi Fung Lee, Lorena Garcia-Menendez, Rong Tian, Kai Tan

PLoS Comput. Biol., 2015

2014

Modeling disease progression using dynamics of pathway connectivity.

Xiaoke Ma, Long Gao, Kai Tan

Bioinform., 2014

2012

Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability.

Xiaoke Ma, Lin Gao

Inf. Sci., 2012

Discovering protein complexes in protein interaction networks via exploring the weak ties effect.

Xiaoke Ma, Lin Gao

BMC Syst. Biol., 2012

2010

A centrality measure based on spectral optimization of modularity density.

Lidong Fu, Lin Gao, Xiaoke Ma

Sci. China Inf. Sci., 2010