Rui Kuang
Orcid: 0000-0002-4916-903X
According to our database1,
Rui Kuang
authored at least 51 papers
between 2003 and 2022.
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Bibliography
2022
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs.
IEEE Trans. Knowl. Data Eng., 2022
Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network.
Bioinform., 2022
2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion.
PLoS Comput. Biol., 2021
Microprocess. Microsystems, 2021
2020
Machine learning and statistical methods for clustering single-cell RNA-sequencing data.
Briefings Bioinform., 2020
2019
Path segmentation for movement trajectories with irregular sampling frequency using space-time interpolation and density-based spatial clustering.
Trans. GIS, 2019
Detecting Population-Differentiation Copy Number Variants in Human Population Tree by Sparse Group Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
PLoS Comput. Biol., 2018
CoRR, 2018
2017
CoRR, 2017
Bioinform., 2017
Proceedings of the 10th International Conference on Educational Data Mining, 2017
2015
Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis.
PLoS Comput. Biol., 2015
Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments.
BMC Syst. Biol., 2015
BMC Bioinform., 2015
Predicting Small Group Accretion in Social Networks: A topology based incremental approach.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
2013
Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment.
PLoS Comput. Biol., 2013
A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum.
BMC Bioinform., 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum.
BMC Syst. Biol., 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Signed network propagation for detecting differential gene expressions and DNA copy number variations.
Proceedings of the ACM International Conference on Bioinformatics, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
CoRR, 2011
Bioinform., 2011
2010
Integrative classification and analysis of multiple arrayCGH datasets with probe alignment.
Bioinform., 2010
Proceedings of the SIAM International Conference on Data Mining, 2010
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010
Proceedings of the ACM International Health Informatics Symposium, 2010
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010
2009
A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge.
Bioinform., 2009
Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
Proceedings of the SIAM International Conference on Data Mining, 2009
A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
2008
Bioinform., 2008
Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
BMC Bioinform., 2007
2006
2005
2004
J. Mach. Learn. Res., 2004
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003