Efficient 3D Transformer with cluster-based Domain-Adversarial Learning for 3D Medical Image Segmentation. - Haoran Zhang 016; Hao Chen (ISBI, 2023)

Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. - Haoran Zhang 016; Zekai Li; Zejun Gong; Marie Siew; Carlee Joe-Wong; Rachid El Azouzi (ICDCS, 2024)

Fair Concurrent Training of Multiple Models in Federated Learning. - Marie Siew; Haoran Zhang 016; Jong-Ik Park; Yuezhou Liu; Yichen Ruan; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (CoRR, 2024)

Group-Based Client Sampling in Multi-Model Federated Learning. - Zejun Gong; Haoran Zhang 016; Marie Siew; Carlee Joe-Wong; Rachid El Azouzi (VTC2025-Spring, 2025)

Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning. - Haoran Zhang 016; Zejun Gong; Zekai Li; Marie Siew; Carlee Joe-Wong; Rachid El Azouzi (CoRR, 2025)