| 2025 | MICCAI | Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography. | Seungeun Lee, Jaeyoung Kim, Kyungtae Kang, Mingon Kang |
| 2020 | PSB | PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data. | Jie Hao, Sai Chandra Kosaraju, Nelson Zange Tsaku, Dae Hyun Song, Mingon Kang |
| 2019 | ICDAR | DoT-Net: Document Layout Classification Using Texture-Based CNN. | Sai Chandra Kosaraju, Mohammad Masum, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang |
| 2019 | ICMLA | Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification. | Mingon Kang, Ashis Kumer Biswas, Dong-Chul Kim, Jean Gao |
| 2014 | BIBE | Multi-block and Multi-task Learning for Integrative Genomic Study. | Mingon Kang, Dong-Chul Kim, Chunyu Liu, Baoju Zhang, Xiaoyong Wu, Jean Gao |
| 2014 | BIBE | Integration of DNA Methylation, Copy Number Variation, and Gene Expression for Gene Regulatory Network Inference and Application to Psychiatric Disorders. | Dong-Chul Kim, Mingon Kang, Baoju Zhang, Xiaoyong Wu, Chunyu Liu, Jean Gao |
| 2013 | ICMLA | eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis. | Mingon Kang, Shuo Li, Dong-Chul Kim, Chunyu Liu, Baoju Zhang, Xiaoyong Wu, Jean Gao |
| 2011 | ICMLA | Nonlinear RANSAC Optimization for Parameter Estimation with Applications to Phagocyte Transmigration. | Mingon Kang, Jean Gao, Liping Tang |