A centrality measure based on spectral optimization of modularity density. - Lidong Fu; Lin Gao 006; Xiaoke Ma 001 (Sci. China Inf. Sci., 2010)

Discovering protein complexes in protein interaction networks via exploring the weak ties effect. - Xiaoke Ma 001; Lin Gao 006 (BMC Syst. Biol., 2012)

Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability. - Xiaoke Ma 001; Lin Gao 006 (Inf. Sci., 2012)

Modeling disease progression using dynamics of pathway connectivity. - Xiaoke Ma 001; Long Gao; Kai Tan 001 (Bioinform., 2014)

Revealing Pathway Dynamics in Heart Diseases by Analyzing Multiple Differential Networks. - Xiaoke Ma 001; Long Gao; Georgios Karamanlidis; Peng Gao; Chi Fung Lee; Lorena Garcia-Menendez; Rong Tian; Kai Tan 001 (PLoS Comput. Biol., 2015)

The extraction of drug-disease correlations based on module distance in incomplete human interactome. - Liang Yu 002; Bingbo Wang; Xiaoke Ma 001; Lin Gao 006 (BMC Syst. Biol., 2016)

Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data. - Xiaoke Ma 001; Zaiyi Liu; Zhongyuan Zhang; Xiao-Tai Huang; Wanxin Tang (BMC Bioinform., 2017)

Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes. - Xiaoke Ma 001; Liang Yu 002; Peizhuo Wang; Xiaofei Yang (Comput. Biol. Chem., 2017)

Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks. - Xiaoke Ma 001; Di Dong (IEEE Trans. Knowl. Data Eng., 2017)

Identifying Condition-Specific Modules by Clustering Multiple Networks. - Xiaoke Ma 001; Penggang Sun; Guimin Qin (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression. - Xiaoke Ma 001; Wanxin Tang; Peizhuo Wang; Xingli Guo; Lin Gao 006 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

An Integrative Framework for Protein Interaction Network and Methylation Data to Discover Epigenetic Modules. - Xiaoke Ma 001; Penggang Sun; Zhong-Yuan Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization. - Xiaoke Ma 001; Di Dong; Quan Wang 006 (IEEE Trans. Knowl. Data Eng., 2019)

A Task Allocation Framework for Large-Scale Mobile Edge Computing. - Xinghan Wang; Xiaoxiong Zhong; Yanbin Zheng; Xiaoke Ma 001; Tingting Yang 001; Genglin Zhang (GLOBECOM, 2020)

Clustering of Cancer Attributed Networks via Integration of Graph Embedding and Matrix Factorization. - Qiang Lin 001; Yong Lin; Qiang Yu; Xiaoke Ma 001 (IEEE Access, 2020)

Joint learning dimension reduction and clustering of single-cell RNA-sequencing data. - Wenming Wu; Xiaoke Ma 001 (Bioinform., 2020)

A Parallel Optimal Task Allocation Mechanism for Large-Scale Mobile Edge Computing. - Xiaoxiong Zhong; Xinghan Wang; Yuanyuan Yang 001; Yang Qin 001; Xiaoke Ma 001; Tingting Yang 001 (CoRR, 2020)

Co-regularized nonnegative matrix factorization for evolving community detection in dynamic networks. - Xiaoke Ma 001; Benhui Zhang 001; Changzhou Ma; Zhiyu Ma (Inf. Sci., 2020)

Detecting community in attributed networks by dynamically exploring node attributes and topological structure. - Zhihao Huang; Xiaoxiong Zhong; Qiang Wang; Maoguo Gong; Xiaoke Ma 001 (Knowl. Based Syst., 2020)

Multi-view Clustering for the Integration Analysis of Gene Expression and Methylation Data. - Xiaowei Gao; Xiaogang Liu; Xiaoke Ma 001 (BIBM, 2021)

Transfer Learning for Gene Ranking across Cancers. - Fei Song; Xiaogang Liu; Xiaoke Ma 001 (BIBM, 2021)

Temporal Link Prediction for Cancer Networks using Structural Consistency Regularized Non-negative Matrix Factorization. - Junyao Zhang; Xiaogang Liu; Xiaoke Ma 001 (BIBM, 2021)

Embedding regularized nonnegative matrix factorization for structural reduction in multi-layer networks. - Zhihao Huang; Zengfa Dou; Xiaoke Ma 001 (Appl. Soft Comput., 2021)

jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data. - Wenming Wu; Zaiyi Liu; Xiaoke Ma 001 (Briefings Bioinform., 2021)

TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. - Yan Wang; Zuheng Xia; Jingjing Deng 001; Xianghua Xie; Maoguo Gong; Xiaoke Ma 001 (BMC Bioinform., 2021)

Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization. - Dongyuan Li; Qiang Lin 001; Xiaoke Ma 001 (Neurocomputing, 2021)

Joint nonnegative matrix factorization and network embedding for graph co-clustering. - Yan Wang; Xiaoke Ma 001 (Neurocomputing, 2021)

Detecting dynamic community by fusing network embedding and nonnegative matrix factorization. - Dongyuan Li; Xiaoxiong Zhong; Zengfa Dou; Maoguo Gong; Xiaoke Ma 001 (Knowl. Based Syst., 2021)

Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information. - Changzhou Ma; Qiang Lin 001; Yong Lin; Xiaoke Ma 001 (Knowl. Based Syst., 2021)

Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization. - Benhui Zhang 001; Maoguo Gong; Jianbin Huang; Xiaoke Ma 001 (ACM Trans. Knowl. Discov. Data, 2021)

Group Reassignment for Dynamic Edge Partitioning. - He Li 006; Hang Yuan; Jianbin Huang; Jiangtao Cui; Xiaoke Ma 001; Senzhang Wang; Jaesoo Yoo; Philip S. Yu (IEEE Trans. Parallel Distributed Syst., 2021)

Learning deep features and topological structure of cells for clustering of scRNA-sequencing data. - Haiyue Wang; Xiaoke Ma 001 (Briefings Bioinform., 2022)

Learning discriminative and structural samples for rare cell types with deep generative model. - Haiyue Wang; Xiaoke Ma 001 (Briefings Bioinform., 2022)

Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types. - Wenming Wu; Wensheng Zhang 002; Xiaoke Ma 001 (Briefings Bioinform., 2022)

Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks. - Fei Song; Shiyin Tan; Zengfa Dou; Xiaogang Liu; Xiaoke Ma 001 (BMC Bioinform., 2022)

A hybrid method of detecting flame from video stream. - Zengfa Dou; Xiaoke Ma 001; Xianghua Xie; Hui Liu; Chubing Guo (IET Image Process., 2022)

Clustering of noised and heterogeneous multi-view data with graph learning and projection decomposition. - Haiyue Wang; Wensheng Zhang 002; Xiaoke Ma 001 (Knowl. Based Syst., 2022)

Multi-view clustering with constructed bipartite graph in embedding space. - Benhui Zhang 001; Xiaoke Ma 001 (Knowl. Based Syst., 2022)

Joint multi-label learning and feature extraction for temporal link prediction. - Xiaoke Ma 001; Shiyin Tan; Xianghua Xie; Xiaoxiong Zhong; Jingjing Deng 001 (Pattern Recognit., 2022)

Multi-View Clustering With Self-Representation and Structural Constraint. - Xiaowei Gao; Xiaoke Ma 001; Wensheng Zhang 002; Jianbin Huang; He Li 006; Yanni Li; Jiangtao Cui (IEEE Trans. Big Data, 2022)

A Two-Phase Method to Balance the Result of Distributed Graph Repartitioning. - He Li 006; Jianbin Huang; Hang Yuan; Jiangtao Cui; Xiaoke Ma 001; Shaojie Qiao; Xindong Wu 001 (IEEE Trans. Big Data, 2022)

Clustering of Cancer Attributed Networks by Dynamically and Jointly Factorizing Multi-Layer Graphs. - Zhihao Huang; Yan Wang; Xiaoke Ma 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Dynamic Module Detection in Temporal Attributed Networks of Cancers. - Dongyuan Li; Shuyao Zhang; Xiaoke Ma 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition. - Xiaoke Ma 001; Peng Gang Sun; Maoguo Gong (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

POTAM: A Parallel Optimal Task Allocation Mechanism for Large-Scale Delay Sensitive Mobile Edge Computing. - Xiaoxiong Zhong; Xinghan Wang; Tingting Yang 001; Yuanyuan Yang 001; Yang Qin 001; Xiaoke Ma 001 (IEEE Trans. Commun., 2022)

Edge Repartitioning via Structure-Aware Group Migration. - He Li 006; Hang Yuan; Jianbin Huang; Xiaoke Ma 001; Jiangtao Cui; Jaesoo Yoo (IEEE Trans. Comput. Soc. Syst., 2022)

Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms. - Jianbin Huang; Longji Huang; Meijuan Liu; He Li 006; Qinglin Tan; Xiaoke Ma 001; Jiangtao Cui; De-Shuang Huang (ACM Trans. Intell. Syst. Technol., 2022)

Generative Graph Neural Networks for Link Prediction. - Xingping Xian; Tao Wu 003; Xiaoke Ma 001; Shaojie Qiao; Yabin Shao; Chao Wang 025; Lin Yuan 002; Yu Wu 001 (CoRR, 2023)

Gradient Leakage Defense with Key-Lock Module for Federated Learning. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001; Jianfeng Ma (CoRR, 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 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Layer-Specific Modules Detection in Cancer Multi-Layer Networks. - Xiaoke Ma 001; Wei Zhao; Wenming Wu (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 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multi-View Clustering With Graph Learning for scRNA-Seq Data. - Wenming Wu; Wensheng Zhang 002; Weimin Hou; Xiaoke Ma 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of Features. - Wenming Wu; Maoguo Gong; Xiaoke Ma 001 (IEEE Trans. Cybern., 2023)

DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction. - He Li 006; Duo Jin; Xuejiao Li; Jianbin Huang; Xiaoke Ma 001; Jiangtao Cui; Deshuang Huang; Shaojie Qiao; Jaesoo Yoo (ACM Trans. Knowl. Discov. Data, 2023)

Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks. - Dongyuan Li; Xiaoke Ma 001; Maoguo Gong (IEEE Trans. Cybern., 2023)

Learning specific and conserved features of multi-layer networks. - Wenming Wu; Tao Yang; Xiaoke Ma 001; Wensheng Zhang 002; He Li 006; Jianbin Huang; Yanni Li; Jiangtao Cui (Inf. Sci., 2023)

AnomMAN: Detect anomalies on multi-view attributed networks. - Linghao Chen; He Li 006; Wanyuan Zhang; Jianbin Huang; Xiaoke Ma 001; Jiangtao Cui; Ning Li; Jaesoo Yoo (Inf. Sci., 2023)

Clustering of multi-layer networks with structural relations and conservation of features. - Wentao Jia; Xiaoke Ma 001 (Appl. Soft Comput., 2023)

Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. - Yiming Li; Hanchi Ren; Jingjing Deng 001; Xiaoke Ma 001; Xianghua Xie (ISBI, 2024)

TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System. - Dongxiao He; Jinghan Zhang 010; Xiaobao Wang; Meng Ge; Zhiyong Feng 002; Longbiao Wang; Xiaoke Ma 001 (ACM Multimedia, 2024)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. - Chen Hu; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001 (CoRR, 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 001 (Knowl. Based Syst., 2024)

Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering. - Haiyue Wang; Wensheng Zhang 002; Xiaoke Ma 001 (Neural Networks, 2024)

Learning deep representation and discriminative features for clustering of multi-layer networks. - Wenming Wu; Xiaoke Ma 001; Quan Wang 006; Maoguo Gong; Quanxue Gao (Neural Networks, 2024)

Image restoration with group sparse representation and low-rank group residual learning. - Zhaoyuan Cai; Xianghua Xie; Jingjing Deng 001; Zengfa Dou; Bo Tong; Xiaoke Ma 001 (IET Image Process., 2024)

FedBoosting: Federated learning with gradient protected boosting for text recognition. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001; Yichuan Wang (Neurocomputing, 2024)

Joint learning of data recovering and graph contrastive denoising for incomplete multi-view clustering. - Haiyue Wang; Quan Wang 006; Qiguang Miao; Xiaoke Ma 001 (Inf. Fusion, 2024)

Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data. - Haiyue Wang; Zaiyi Liu; Xiaoke Ma 001 (IEEE J. Biomed. Health Informatics, 2024)

Graph Contrastive Learning for Clustering of Multi-Layer Networks. - Yifei Yang; Xiaoke Ma 001 (IEEE Trans. Big Data, 2024)

Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks. - Yun Ai; Xianghua Xie; Xiaoke Ma 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Noised Multi-Layer Networks Clustering With Graph Denoising and Structure Learning. - Wenming Wu; Wensheng Zhang 002; Maoguo Gong; Xiaoke Ma 001 (IEEE Trans. Knowl. Data Eng., 2024)

Safeguarding Privacy for Medical Data with a Novel Key-Lock Module in Federated Learning. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001; Jianfeng Ma (AIiH (2), 2025)

Sparse representation for restoring images by exploiting topological structure of graph of patches. - Yaxian Gao; Zhaoyuan Cai; Xianghua Xie; Jingjing Deng 001; Zengfa Dou; Xiaoke Ma 001 (IET Image Process., 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 001 (Neurocomputing, 2025)

Adaptive structural-guided multi-level representation learning with graph contrastive for incomplete multi-view clustering. - Haiyue Wang; Wensheng Zhang 002; Quan Wang 006; Xiaoke Ma 001 (Inf. Fusion, 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 001 (Neural Networks, 2025)

Group link prediction in bipartite graphs with graph neural networks. - Shijie Luo; He Li 006; Jianbin Huang; Xiaoke Ma 001; Jiangtao Cui; Shaojie Qiao; Jaesoo Yoo (Pattern Recognit., 2025)

Local High-Order Graph Learning for Multi-View Clustering. - Zhi Wang; Qiang Lin 001; Yaxiong Ma; Xiaoke Ma 001 (IEEE Trans. Big Data, 2025)

Multi-Graph Contrastive Learning for Community Detection in Multi-Layer Networks. - Songen Cao; Xiaoyi Lv; Yaxiong Ma; Xiaoke Ma 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)