Rui Kuang

56 papers A* 5A 3B 2Misc 1Journal 35Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
CTFacTomo: Reconstructing 3D spatial structures of RNA tomography transcriptomes by collapsed tensor factorization.
PLoS Comput. Biol.
Tianci Song, Quoc Nguyen, Charles Broadbent, Rui Kuang
2024 J jnl
Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition.
Bioinform.
Charles Broadbent, Tianci Song, Rui Kuang
2024 J jnl
Orchard: Building large cancer phylogenies using stochastic combinatorial search.
PLoS Comput. Biol.
Ethan Kulman, Rui Kuang, Quaid Morris
2024 J jnl
Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs.
Bioinform.
Tianci Song, Eric Cosatto, Gaoyuan Wang, Rui Kuang, Mark Gerstein, Martin Renqiang Min, Jonathan Warrell
2022 J jnl
Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network.
Bioinform.
Tianci Song, Kathleen K. Markham, Zhuliu Li, Kristen E. Muller, Kathleen Greenham, Rui Kuang
2022 J jnl
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs.
IEEE Trans. Knowl. Data Eng.
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
2021 J jnl
Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion.
PLoS Comput. Biol.
Zhuliu Li, Tianci Song, Jeongsik Yong, Rui Kuang
2021 J jnl
QCA-based Hamming code circuit for nano communication network.
Microprocess. Microsystems
Jianhong Huang, Guangjun Xie, Rui Kuang, Feifei Deng, Yongqiang Zhang
2021 J jnl
Spars: A Full Flow Quantum-Dot Cellular Automata Circuit Design Tool.
IEEE Trans. Circuits Syst. II Express Briefs
Fei Peng, Yongqiang Zhang, Rui Kuang, Guangjun Xie
2020 J jnl
Machine learning and statistical methods for clustering single-cell RNA-sequencing data.
Briefings Bioinform.
Raphael Petegrosso, Zhuliu Li, Rui Kuang
2020 J jnl
Platform-integrated mRNA isoform quantification.
Bioinform.
Jiao Sun, Jae-Woong Chang, Teng Zhang, Jeongsik Yong, Rui Kuang, Wei Zhang
2019 J jnl
Detecting Population-Differentiation Copy Number Variants in Human Population Tree by Sparse Group Selection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Huanan Zhang, David Roe, Rui Kuang
2019 A* conf
Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks.
ICDM
Zhuliu Li, Wei Zhang, Rong Stephanie Huang, Rui Kuang
2019 J jnl
Path segmentation for movement trajectories with irregular sampling frequency using space-time interpolation and density-based spatial clustering.
Trans. GIS
Ying Song, Tianci Song, Rui Kuang
2018 J jnl
A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
PLoS Comput. Biol.
Huanan Zhang, Catherine A. A. Lee, Zhuliu Li, John R. Garbe, Cindy R. Eide, Raphael Petegrosso, Rui Kuang, Jakub Tolar
2018 J jnl
Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph.
CoRR
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
2017 B conf
Dropout Prediction in Home Care Training.
EDM
Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang, Chih-Lin Chi
2017 J jnl
Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples.
CoRR
Raphael Petegrosso, Wei Zhang, Zhuliu Li, Yousef Saad, Rui Kuang
2017 J jnl
Transfer learning across ontologies for phenome-genome association prediction.
Bioinform.
Raphael Petegrosso, Sunho Park, Taehyun Hwang, Rui Kuang
2015 J jnl
Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis.
PLoS Comput. Biol.
Wei Zhang, Jae-Woong Chang, Lilong Lin, Kay Minn, Baolin Wu, Jeremy Chien, Jeongsik Yong, Hui Zheng, Rui Kuang
2015 B conf
Predicting Small Group Accretion in Social Networks: A topology based incremental approach.
ASONAM
Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng, Kartik Singhal
2015 J jnl
Predicting Small Group Accretion in Social Networks: A topology based incremental approach.
CoRR
Ankit Sharma, Xiaodong Feng, Kartik Singhal, Rui Kuang, Jaideep Srivastava
2015 J jnl
Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments.
BMC Syst. Biol.
Hong Cai, Timothy G. Lilburn, Changjin Hong, Jianying Gu, Rui Kuang, Yufeng Wang
2015 J jnl
SubPatCNV: approximate subspace pattern mining for mapping copy-number variations.
BMC Bioinform.
Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang
2014 J jnl
Network-based Transcript Quantification with RNA-Seq Data.
CoRR
Wei Zhang, Kay Minn, Lilong Lin, Baolin Wu, Jeremy Chien, Hui Zheng, Rui Kuang
2013 J jnl
A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum.
BMC Bioinform.
Hong Cai, Changjin Hong, Timothy G. Lilburn, Armando L. Rodriguez, Sheng Chen, Jianying Gu, Rui Kuang, Yufeng Wang
2013 J jnl
Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment.
PLoS Comput. Biol.
Wei Zhang, Takayo Ota, Viji Shridhar, Jeremy Chien, Baolin Wu, Rui Kuang
2013 A* conf
Transfer Learning across Cancers on DNA Copy Number Variation Analysis.
ICDM
Huanan Zhang, Ze Tian, Rui Kuang
2012 — conf
Approximate subspace pattern mining for mapping copy-number variations.
BCB
Nicholas Johnson, Gang Fang, Rui Kuang
2012 A conf
Global Linear Neighborhoods for Efficient Label Propagation.
SDM
Ze Tian, Rui Kuang
2012 J jnl
Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum.
BMC Syst. Biol.
Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang
2012 — conf
Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments.
BIBM
Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang
2012 — conf
Prioritizing Disease Genes by Bi-Random Walk.
PAKDD (2)
Maoqiang Xie, Taehyun Hwang, Rui Kuang
2012 — conf
Signed network propagation for detecting differential gene expressions and DNA copy number variations.
BCB
Wei Zhang, Nicholas Johnson, Baolin Wu, Rui Kuang
2012 A* conf
Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations.
ICDM
Ze Tian, Huanan Zhang, Rui Kuang
2011 J jnl
Inferring Disease and Gene Set Associations with Rank Coherence in Networks
CoRR
Taehyun Hwang, Wei Zhang, Maoqiang Xie, Rui Kuang
2011 J jnl
Inferring disease and gene set associations with rank coherence in networks.
Bioinform.
Taehyun Hwang, Wei Zhang, Maoqiang Xie, Jinfeng Liu, Rui Kuang
2010 A conf
A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery.
SDM
Taehyun Hwang, Rui Kuang
2010 — conf
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining.
BICoB
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui Kuang, Vipin Kumar
2010 J jnl
Integrative classification and analysis of multiple arrayCGH datasets with probe alignment.
Bioinform.
Ze Tian, Rui Kuang
2010 — conf
Launching: university partnership for health informatics.
IHI
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
2010 — conf
Network propagation models for gene selection.
GENSiPS
Wei Zhang, Baryun Hwang, Baolin Wu, Rui Kuang
2010 Misc conf
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach.
Pacific Symposium on Biocomputing
Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
2009 — conf
A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior.
GENSiPS
Ze Tian, Taehyun Hwang, Rui Kuang
2009 J jnl
A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge.
Bioinform.
Ze Tian, Taehyun Hwang, Rui Kuang
2009 A conf
Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
SDM
Martin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang
2009 — conf
Partial profile alignment kernels for protein classification.
GENSiPS
Thanh T. Ngo, Rui Kuang
2008 A* conf
Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction.
ICDM
Taehyun Hwang, Ze Tian, Rui Kuang, Jean-Pierre A. Kocher
2008 J jnl
Robust and efficient identification of biomarkers by classifying features on graphs.
Bioinform.
Taehyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre A. Kocher, Dennis A. Wigle, Vipin Kumar, Rui Kuang
2007 J jnl
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
BMC Bioinform.
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
2006 J jnl
Protein Ranking by Semi-Supervised Network Propagation.
BMC Bioinform.
Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble
2005 J jnl
Motif-based protein ranking by network propagation.
Bioinform.
Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
2004 J jnl
Fast String Kernels using Inexact Matching for Protein Sequences.
J. Mach. Learn. Res.
Christina S. Leslie, Rui Kuang
2004 — conf
Profile-Based String Kernels for Remote Homology Detection and Motif Extraction.
CSB
Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie
2004 J jnl
Protein backbone angle prediction with machine learning approaches.
Bioinform.
Rui Kuang, Christina S. Leslie, An-Suei Yang
2003 A* conf
Fast Kernels for Inexact String Matching.
COLT
Christina S. Leslie, Rui Kuang