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Xiaoke Ma 0001
Person information
- affiliation: Xidian University, School of Computer Science and Technology, Xi'an, Shaanxi, China
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, Jiangsu, China
Other persons with the same name
- Xiaoke Ma (aka: Xiao-Ke Ma) — disambiguation page
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2020 – today
- 2025
- [j63]Zengfa Dou, Nian Peng, Weiming Hou, Xianghua Xie, Xiaoke Ma:
Learning multi-level topology representation for multi-view clustering with deep non-negative matrix factorization. Neural Networks 182: 106856 (2025) - [j62]Shijie Luo, He Li, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Shaojie Qiao, Jaesoo Yoo:
Group link prediction in bipartite graphs with graph neural networks. Pattern Recognit. 158: 110977 (2025) - 2024
- [j61]Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma:
Image restoration with group sparse representation and low-rank group residual learning. IET Image Process. 18(3): 741-760 (2024) - [j60]Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang:
FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing 569: 127126 (2024) - [j59]Haiyue Wang, Quan Wang, Qiguang Miao, Xiaoke Ma:
Joint learning of data recovering and graph contrastive denoising for incomplete multi-view clustering. Inf. Fusion 104: 102155 (2024) - [j58]Yaxiong Ma, Yue Gao, Zengfa Dou, Guohua Huang, Xiaoke Ma:
Clustering dynamic networks by discriminating roles of vertices and capturing temporality with subsequent feature projection. Knowl. Based Syst. 305: 112660 (2024) - [j57]Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Gao:
Learning deep representation and discriminative features for clustering of multi-layer networks. Neural Networks 170: 405-416 (2024) - [j56]Haiyue Wang, Wensheng Zhang, Xiaoke Ma:
Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering. Neural Networks 172: 106102 (2024) - [j55]Yifei Yang, Xiaoke Ma:
Graph Contrastive Learning for Clustering of Multi-Layer Networks. IEEE Trans. Big Data 10(4): 429-441 (2024) - [j54]Yun Ai, Xianghua Xie, Xiaoke Ma:
Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3422-3435 (2024) - [j53]Haiyue Wang, Zaiyi Liu, Xiaoke Ma:
Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data. IEEE J. Biomed. Health Informatics 28(5): 3134-3145 (2024) - [j52]Wenming Wu, Wensheng Zhang, Maoguo Gong, Xiaoke Ma:
Noised Multi-Layer Networks Clustering With Graph Denoising and Structure Learning. IEEE Trans. Knowl. Data Eng. 36(10): 5294-5307 (2024) - [c6]Yiming Li, Hanchi Ren, Jingjing Deng, Xiaoke Ma, Xianghua Xie:
Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. ISBI 2024: 1-5 - [c5]Dongxiao He, Jinghan Zhang, Xiaobao Wang, Meng Ge, Zhiyong Feng, Longbiao Wang, Xiaoke Ma:
TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System. ACM Multimedia 2024: 5856-5864 - [i4]Chen Hu, Jingjing Deng, Xianghua Xie, Xiaoke Ma:
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. CoRR abs/2408.17090 (2024) - 2023
- [j51]Wentao Jia, Xiaoke Ma:
Clustering of multi-layer networks with structural relations and conservation of features. Appl. Soft Comput. 140: 110272 (2023) - [j50]Wenming Wu, Tao Yang, Xiaoke Ma, Wensheng Zhang, He Li, Jianbin Huang, Yanni Li, Jiangtao Cui:
Learning specific and conserved features of multi-layer networks. Inf. Sci. 622: 930-945 (2023) - [j49]Linghao Chen, He Li, Wanyuan Zhang, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Ning Li, Jaesoo Yoo:
AnomMAN: Detect anomalies on multi-view attributed networks. Inf. Sci. 628: 1-21 (2023) - [j48]Wenming Wu, Xiaoke Ma:
Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 566-575 (2023) - [j47]Xiaoke Ma, Wei Zhao, Wenming Wu:
Layer-Specific Modules Detection in Cancer Multi-Layer Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1170-1179 (2023) - [j46]Xiaowei Gao, Yan Wang, Weimin Hou, Zaiyi Liu, Xiaoke Ma:
Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2050-2063 (2023) - [j45]Wenming Wu, Wensheng Zhang, Weimin Hou, Xiaoke Ma:
Multi-View Clustering With Graph Learning for scRNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3535-3546 (2023) - [j44]Dongyuan Li, Xiaoke Ma, Maoguo Gong:
Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks. IEEE Trans. Cybern. 53(3): 1653-1666 (2023) - [j43]Wenming Wu, Maoguo Gong, Xiaoke Ma:
Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of Features. IEEE Trans. Cybern. 53(8): 4972-4985 (2023) - [j42]He Li, Duo Jin, Xuejiao Li, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Deshuang Huang, Shaojie Qiao, Jaesoo Yoo:
DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction. ACM Trans. Knowl. Discov. Data 17(7): 97:1-97:19 (2023) - [i3]Xingping Xian, Tao Wu, Xiaoke Ma, Shaojie Qiao, Yabin Shao, Chao Wang, Lin Yuan, Yu Wu:
Generative Graph Neural Networks for Link Prediction. CoRR abs/2301.00169 (2023) - [i2]Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma:
Gradient Leakage Defense with Key-Lock Module for Federated Learning. CoRR abs/2305.04095 (2023) - 2022
- [j41]Wenming Wu, Wensheng Zhang, Xiaoke Ma:
Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types. Briefings Bioinform. 23(2) (2022) - [j40]Haiyue Wang, Xiaoke Ma:
Learning deep features and topological structure of cells for clustering of scRNA-sequencing data. Briefings Bioinform. 23(3) (2022) - [j39]Haiyue Wang, Xiaoke Ma:
Learning discriminative and structural samples for rare cell types with deep generative model. Briefings Bioinform. 23(5) (2022) - [j38]Fei Song, Shiyin Tan, Zengfa Dou, Xiaogang Liu, Xiaoke Ma:
Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks. BMC Bioinform. 23(1): 34 (2022) - [j37]Zengfa Dou, Xiaoke Ma, Xianghua Xie, Hui Liu, Chubing Guo:
A hybrid method of detecting flame from video stream. IET Image Process. 16(11): 2937-2946 (2022) - [j36]Benhui Zhang, Xiaoke Ma:
Multi-view clustering with constructed bipartite graph in embedding space. Knowl. Based Syst. 254: 109690 (2022) - [j35]Haiyue Wang, Wensheng Zhang, Xiaoke Ma:
Clustering of noised and heterogeneous multi-view data with graph learning and projection decomposition. Knowl. Based Syst. 255: 109736 (2022) - [j34]Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng:
Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognit. 121: 108216 (2022) - [j33]Xiaowei Gao, Xiaoke Ma, Wensheng Zhang, Jianbin Huang, He Li, Yanni Li, Jiangtao Cui:
Multi-View Clustering With Self-Representation and Structural Constraint. IEEE Trans. Big Data 8(4): 882-893 (2022) - [j32]He Li, Jianbin Huang, Hang Yuan, Jiangtao Cui, Xiaoke Ma, Shaojie Qiao, Xindong Wu:
A Two-Phase Method to Balance the Result of Distributed Graph Repartitioning. IEEE Trans. Big Data 8(6): 1580-1591 (2022) - [j31]Xiaoke Ma, Peng Gang Sun, Maoguo Gong:
An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 305-316 (2022) - [j30]Dongyuan Li, Shuyao Zhang, Xiaoke Ma:
Dynamic Module Detection in Temporal Attributed Networks of Cancers. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2219-2230 (2022) - [j29]Zhihao Huang, Yan Wang, Xiaoke Ma:
Clustering of Cancer Attributed Networks by Dynamically and Jointly Factorizing Multi-Layer Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2737-2748 (2022) - [j28]Xiaoxiong Zhong, Xinghan Wang, Tingting Yang, Yuanyuan Yang, Yang Qin, Xiaoke Ma:
POTAM: A Parallel Optimal Task Allocation Mechanism for Large-Scale Delay Sensitive Mobile Edge Computing. IEEE Trans. Commun. 70(4): 2499-2517 (2022) - [j27]He Li, Hang Yuan, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Jaesoo Yoo:
Edge Repartitioning via Structure-Aware Group Migration. IEEE Trans. Comput. Soc. Syst. 9(3): 751-760 (2022) - [j26]Jianbin Huang, Longji Huang, Meijuan Liu, He Li, Qinglin Tan, Xiaoke Ma, Jiangtao Cui, De-Shuang Huang:
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms. ACM Trans. Intell. Syst. Technol. 13(3): 41:1-41:19 (2022) - 2021
- [j25]Zhihao Huang, Zengfa Dou, Xiaoke Ma:
Embedding regularized nonnegative matrix factorization for structural reduction in multi-layer networks. Appl. Soft Comput. 112: 107781 (2021) - [j24]Wenming Wu, Zaiyi Liu, Xiaoke Ma:
jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data. Briefings Bioinform. 22(5) (2021) - [j23]Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma:
TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinform. 22-S(9): 274 (2021) - [j22]Dongyuan Li, Qiang Lin, Xiaoke Ma:
Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization. Neurocomputing 435: 77-90 (2021) - [j21]Yan Wang, Xiaoke Ma:
Joint nonnegative matrix factorization and network embedding for graph co-clustering. Neurocomputing 462: 453-465 (2021) - [j20]Changzhou Ma, Qiang Lin, Yong Lin, Xiaoke Ma:
Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information. Knowl. Based Syst. 213: 106666 (2021) - [j19]Dongyuan Li, Xiaoxiong Zhong, Zengfa Dou, Maoguo Gong, Xiaoke Ma:
Detecting dynamic community by fusing network embedding and nonnegative matrix factorization. Knowl. Based Syst. 221: 106961 (2021) - [j18]Benhui Zhang, Maoguo Gong, Jianbin Huang, Xiaoke Ma:
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 15(4): 73:1-73:25 (2021) - [j17]He Li, Hang Yuan, Jianbin Huang, Jiangtao Cui, Xiaoke Ma, Senzhang Wang, Jaesoo Yoo, Philip S. Yu:
Group Reassignment for Dynamic Edge Partitioning. IEEE Trans. Parallel Distributed Syst. 32(10): 2477-2490 (2021) - [c4]Junyao Zhang, Xiaogang Liu, Xiaoke Ma:
Temporal Link Prediction for Cancer Networks using Structural Consistency Regularized Non-negative Matrix Factorization. BIBM 2021: 280-283 - [c3]Xiaowei Gao, Xiaogang Liu, Xiaoke Ma:
Multi-view Clustering for the Integration Analysis of Gene Expression and Methylation Data. BIBM 2021: 1835-1840 - [c2]Fei Song, Xiaogang Liu, Xiaoke Ma:
Transfer Learning for Gene Ranking across Cancers. BIBM 2021: 1886-1891 - 2020
- [j16]Qiang Lin, Yong Lin, Qiang Yu, Xiaoke Ma:
Clustering of Cancer Attributed Networks via Integration of Graph Embedding and Matrix Factorization. IEEE Access 8: 197463-197472 (2020) - [j15]Wenming Wu, Xiaoke Ma:
Joint learning dimension reduction and clustering of single-cell RNA-sequencing data. Bioinform. 36(12): 3825-3832 (2020) - [j14]Xiaoke Ma, Benhui Zhang, Changzhou Ma, Zhiyu Ma:
Co-regularized nonnegative matrix factorization for evolving community detection in dynamic networks. Inf. Sci. 528: 265-279 (2020) - [j13]Zhihao Huang, Xiaoxiong Zhong, Qiang Wang, Maoguo Gong, Xiaoke Ma:
Detecting community in attributed networks by dynamically exploring node attributes and topological structure. Knowl. Based Syst. 196: 105760 (2020) - [c1]Xinghan Wang, Xiaoxiong Zhong, Yanbin Zheng, Xiaoke Ma, Tingting Yang, Genglin Zhang:
A Task Allocation Framework for Large-Scale Mobile Edge Computing. GLOBECOM 2020: 1-6 - [i1]Xiaoxiong Zhong, Xinghan Wang, Yuanyuan Yang, Yang Qin, Xiaoke Ma, Tingting Yang:
A Parallel Optimal Task Allocation Mechanism for Large-Scale Mobile Edge Computing. CoRR abs/2005.00537 (2020)
2010 – 2019
- 2019
- [j12]Xiaoke Ma, Penggang Sun, Zhong-Yuan Zhang:
An Integrative Framework for Protein Interaction Network and Methylation Data to Discover Epigenetic Modules. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1855-1866 (2019) - [j11]Xiaoke Ma, Di Dong, Quan Wang:
Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 31(2): 273-286 (2019) - 2018
- [j10]Xiaoke Ma, Wanxin Tang, Peizhuo Wang, Xingli Guo, Lin Gao:
Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 647-658 (2018) - [j9]Xiaoke Ma, Penggang Sun, Guimin Qin:
Identifying Condition-Specific Modules by Clustering Multiple Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1636-1648 (2018) - 2017
- [j8]Xiaoke Ma, Liang Yu, Peizhuo Wang, Xiaofei Yang:
Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes. Comput. Biol. Chem. 69: 164-170 (2017) - [j7]Xiaoke Ma, Di Dong:
Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 29(5): 1045-1058 (2017) - 2016
- [j6]Liang Yu, Bingbo Wang, Xiaoke Ma, Lin Gao:
The extraction of drug-disease correlations based on module distance in incomplete human interactome. BMC Syst. Biol. 10(4): 531-539 (2016) - 2015
- [j5]Xiaoke Ma, Long Gao, Georgios Karamanlidis, Peng Gao, Chi Fung Lee, Lorena Garcia-Menendez, Rong Tian, Kai Tan:
Revealing Pathway Dynamics in Heart Diseases by Analyzing Multiple Differential Networks. PLoS Comput. Biol. 11(6) (2015) - 2014
- [j4]Xiaoke Ma, Long Gao, Kai Tan:
Modeling disease progression using dynamics of pathway connectivity. Bioinform. 30(16): 2343-2350 (2014) - 2012
- [j3]Xiaoke Ma, Lin Gao:
Discovering protein complexes in protein interaction networks via exploring the weak ties effect. BMC Syst. Biol. 6(S-1): S6 (2012) - [j2]Xiaoke Ma, Lin Gao:
Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability. Inf. Sci. 189: 233-254 (2012) - 2010
- [j1]Lidong Fu, Lin Gao, Xiaoke Ma:
A centrality measure based on spectral optimization of modularity density. Sci. China Inf. Sci. 53(9): 1727-1737 (2010)
Coauthor Index
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