| 2019 | ICDM | Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks. | Zhuliu Li, Wei Zhang, Rong Stephanie Huang, Rui Kuang |
| 2017 | EDM | Dropout Prediction in Home Care Training. | Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang, Chih-Lin Chi |
| 2013 | ICDM | Transfer Learning across Cancers on DNA Copy Number Variation Analysis. | Huanan Zhang, Ze Tian, Rui Kuang |
| 2012 | ICDM | Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations. | Ze Tian, Huanan Zhang, Rui Kuang |
| 2012 | PAKDD | Prioritizing Disease Genes by Bi-Random Walk. | Maoqiang Xie, TaeHyun Hwang, Rui Kuang |
| 2012 | SDM | Global Linear Neighborhoods for Efficient Label Propagation. | Ze Tian, Rui Kuang |
| 2010 | PSB | Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. | Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar |
| 2010 | SDM | A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery. | TaeHyun Hwang, Rui Kuang |
| 2009 | SDM | Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery. | Martin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang |
| 2008 | ICDM | Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction. | TaeHyun Hwang, Ze Tian, Rui Kuang, Jean-Pierre A. Kocher |
| 2003 | COLT | Fast Kernels for Inexact String Matching. | Christina S. Leslie, Rui Kuang |