| 2025 | CHASE | A Genetic Neural Architecture Search Framework to Predict Biomarker Status in Cardiovascular Disease Patients during Pandemics. | Trusting Inekwe, Emmanuel O. Agu, Winnie Mkandawire, Andrs Colubri |
| 2025 | PERCOM | Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition. | Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee |
| 2024 | ICMLA | Contrastive Learning with Auxiliary User Detection for Identifying Activities. | Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee |
| 2023 | ICMLA | On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. | Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong |
| 2023 | Interspeech | Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health. | Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert |
| 2023 | PERCOM | Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition. | Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee |
| 2021 | ICMLA | Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection. | Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert |
| 2017 | CHASE | A Rhythm Analysis-Based Model to Predict Sedentary Behaviors. | Qian He, Emmanuel O. Agu |