Rui Kuang

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 15

Top Topics

Relational Learning

Survival Analysis

Label Propagation

Top Venues

PLoS Comput. Biol.

Publications

Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Tianci Song, Kathleen K. Markham, Zhuliu Li, Kristen E. Muller, Kathleen Greenham, Rui Kuang
Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network. Bioinform. 38 (5) (2022)
Fei Peng, Yongqiang Zhang, Rui Kuang, Guangjun Xie
Spars: A Full Flow Quantum-Dot Cellular Automata Circuit Design Tool. IEEE Trans. Circuits Syst. II Express Briefs 68 (4) (2021)
Jianhong Huang, Guangjun Xie, Rui Kuang, Feifei Deng, Yongqiang Zhang
QCA-based Hamming code circuit for nano communication network. Microprocess. Microsystems 84 (2021)
Zhuliu Li, Tianci Song, Jeongsik Yong, Rui Kuang
Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion. PLoS Comput. Biol. 17 (4) (2021)
Jiao Sun, Jae-Woong Chang, Teng Zhang, Jeongsik Yong, Rui Kuang, Wei Zhang
Platform-integrated mRNA isoform quantification. Bioinform. 36 (8) (2020)
Raphael Petegrosso, Zhuliu Li, Rui Kuang
Machine learning and statistical methods for clustering single-cell RNA-sequencing data. Briefings Bioinform. 21 (4) (2020)
Huanan Zhang, David Roe, Rui Kuang
Detecting Population-Differentiation Copy Number Variants in Human Population Tree by Sparse Group Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Zhuliu Li, Wei Zhang, Rong Stephanie Huang, Rui Kuang
Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks. ICDM (2019)
Ying Song, Tianci Song, Rui Kuang
Path segmentation for movement trajectories with irregular sampling frequency using space-time interpolation and density-based spatial clustering. Trans. GIS 23 (3) (2019)
Huanan Zhang, Catherine A. A. Lee, Zhuliu Li, John R. Garbe, Cindy R. Eide, Raphael Petegrosso, Rui Kuang, Jakub Tolar
A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa. PLoS Comput. Biol. 14 (4) (2018)
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. CoRR (2018)
Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang, Chih-Lin Chi
Dropout Prediction in Home Care Training. EDM (2017)
Raphael Petegrosso, Wei Zhang, Zhuliu Li, Yousef Saad, Rui Kuang
Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples. CoRR (2017)
Raphael Petegrosso, Sunho Park, TaeHyun Hwang, Rui Kuang
Transfer learning across ontologies for phenome-genome association prediction. Bioinform. 33 (4) (2017)
Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng, Kartik Singhal
Predicting Small Group Accretion in Social Networks: A topology based incremental approach. ASONAM (2015)
Hong Cai, Timothy G. Lilburn, Changjin Hong, Jianying Gu, Rui Kuang, Yufeng Wang
Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments. BMC Syst. Biol. 9 (S-4) (2015)
Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang
SubPatCNV: approximate subspace pattern mining for mapping copy-number variations. BMC Bioinform. 16 (2015)
Ankit Sharma, Xiaodong Feng, Kartik Singhal, Rui Kuang, Jaideep Srivastava
Predicting Small Group Accretion in Social Networks: A topology based incremental approach. CoRR (2015)
Wei Zhang, Jae-Woong Chang, Lilong Lin, Kay Minn, Baolin Wu, Jeremy Chien, Jeongsik Yong, Hui Zheng, Rui Kuang
Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis. PLoS Comput. Biol. 11 (12) (2015)
Wei Zhang, Kay Minn, Lilong Lin, Baolin Wu, Jeremy Chien, Hui Zheng, Rui Kuang
Network-based Transcript Quantification with RNA-Seq Data. CoRR (2014)
Hong Cai, Changjin Hong, Timothy G. Lilburn, Armando L. Rodriguez, Sheng Chen, Jianying Gu, Rui Kuang, Yufeng Wang
A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum. BMC Bioinform. 14 (S-12) (2013)
Huanan Zhang, Ze Tian, Rui Kuang
Transfer Learning across Cancers on DNA Copy Number Variation Analysis. ICDM (2013)
Wei Zhang, Takayo Ota, Viji Shridhar, Jeremy Chien, Baolin Wu, Rui Kuang
Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment. PLoS Comput. Biol. 9 (3) (2013)
Ze Tian, Huanan Zhang, Rui Kuang
Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations. ICDM (2012)
Maoqiang Xie, TaeHyun Hwang, Rui Kuang
Prioritizing Disease Genes by Bi-Random Walk. PAKDD (2) (2012)
Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang
Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments. BIBM (2012)
Nicholas Johnson, Gang Fang, Rui Kuang
Approximate subspace pattern mining for mapping copy-number variations. BCB (2012)
Wei Zhang, Nicholas Johnson, Baolin Wu, Rui Kuang
Signed network propagation for detecting differential gene expressions and DNA copy number variations. BCB (2012)
Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang
Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum. BMC Syst. Biol. 6 (S-3) (2012)
Ze Tian, Rui Kuang
Global Linear Neighborhoods for Efficient Label Propagation. SDM (2012)
TaeHyun Hwang, Wei Zhang, Maoqiang Xie, Jinfeng Liu, Rui Kuang
Inferring disease and gene set associations with rank coherence in networks. Bioinform. 27 (19) (2011)
TaeHyun Hwang, Wei Zhang, Maoqiang Xie, Rui Kuang
Inferring Disease and Gene Set Associations with Rank Coherence in Networks CoRR (2011)
Ze Tian, Rui Kuang
Integrative classification and analysis of multiple arrayCGH datasets with probe alignment. Bioinform. 26 (18) (2010)
Julie A. Jacko, Terrence Adam, Bonnie L. Westra, Marty Witrak, Ron Berkeland, Andrew F. Nelson, Adel L. Ali, Layne Johnson, Rui Kuang, Kathy LaTour, Sandra J. Potthoff, Amy Watters
Launching: university partnership for health informatics. IHI (2010)
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui Kuang, Vipin Kumar
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining. BICoB (2010)
Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing (2010)
TaeHyun Hwang, Rui Kuang
A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery. SDM (2010)
Wei Zhang, Baryun Hwang, Baolin Wu, Rui Kuang
Network propagation models for gene selection. GENSiPS (2010)
Ze Tian, TaeHyun Hwang, Rui Kuang
A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge. Bioinform. 25 (21) (2009)
Thanh T. Ngo, Rui Kuang
Partial profile alignment kernels for protein classification. GENSiPS (2009)
Martin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang
Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery. SDM (2009)
Ze Tian, TaeHyun Hwang, Rui Kuang
A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior. GENSiPS (2009)
TaeHyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre A. Kocher, Dennis A. Wigle, Vipin Kumar, Rui Kuang
Robust and efficient identification of biomarkers by classifying features on graphs. Bioinform. 24 (18) (2008)
TaeHyun Hwang, Ze Tian, Rui Kuang, Jean-Pierre A. Kocher
Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction. ICDM (2008)
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinform. 8 (S-4) (2007)
Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble
Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinform. 7 (S-1) (2006)
Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
Motif-based protein ranking by network propagation. Bioinform. 21 (19) (2005)
Christina S. Leslie, Rui Kuang
Fast String Kernels using Inexact Matching for Protein Sequences. J. Mach. Learn. Res. 5 (2004)
Rui Kuang, Christina S. Leslie, An-Suei Yang
Protein backbone angle prediction with machine learning approaches. Bioinform. 20 (10) (2004)
Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie
Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB (2004)
Christina S. Leslie, Rui Kuang
Fast Kernels for Inexact String Matching. COLT (2003)