| 2021 | AAAI | Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. | Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie |
| 2021 | ICDM | A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. | Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang |
| 2020 | BIBE | Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease. | Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang |
| 2020 | PSB | Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. | Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen |
| 2019 | IJCAI | Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. | Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie |
| 2019 | RECOMB | Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance. | Lodewijk Brand, Xue Yang, Kai Liu, Saad El Beleidy, Hua Wang, Hao Zhang |
| 2018 | MICCAI | Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. | Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen |