| 2026 | MMSys | FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution. | Ali Mollaahmadi Dehaghi, Hossein KhademSohi, Reza Razavi, Steve Drew, Mohammad Moshirpour |
| 2025 | AAAI | Revisiting Interpolation for Noisy Label Correction. | Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Ruiyi Su, Jian Zhang, Shubo Liu, Steve Drew |
| 2025 | AAAI | HVAdam: A Full-Dimension Adaptive Optimizer. | Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu, Jiajun Wu, Shang Xu, Steve Drew, Xiaoguang Niu |
| 2025 | ECAI | Owen Sampling Accelerates Contribution Estimation in Federated Learning. | Hossein KhademSohi, Hadi Hemmati, Jiayu Zhou, Steve Drew |
| 2025 | ICDM | Lightweight and Robust Federated Data Valuation. | Guojun Tang, Jiayu Zhou, Mohammad Mamun, Steve Drew |
| 2025 | INFOCOM | Semi-decentralized Federated Time Series Prediction with Client Availability Budgets. | Yunkai Bao, Reza Safarzadeh, Xin Wang, Steve Drew |
| 2024 | AIES | Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning. | Musa Taib, Jiajun Wu, Steve Drew, Geoffrey G. Messier |
| 2024 | ICPR | Label-Expanded Feature Debiasing for Single Domain Generalization. | Jie Yang, Liwei Jing, Yuanzhuo Xu, Shaowu Wu, Steve Drew, Xiaoguang Niu |
| 2023 | AAAI | USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning. | Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen |
| 2023 | GLOBECOM | Federated Learning with Client Availability Budgets. | Yunkai Bao, Steve Drew, Xin Wang, Jiayu Zhou, Xiaoguang Niu |
| 2022 | ICML | Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. | Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou |