| 2025 | WACV | Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models. | Matas Mendieta, Guangyu Sun, Chen Chen |
| 2024 | ECCV | Towards Multi-modal Transformers in Federated Learning. | Guangyu Sun, Matas Mendieta, Aritra Dutta, Xin Li, Chen Chen |
| 2023 | CVPR | FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. | Ce Zheng, Matas Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen |
| 2023 | ICCV | PGFed: Personalize Each Client's Global Objective for Federated Learning. | Jun Luo, Matas Mendieta, Chen Chen, Shandong Wu |
| 2023 | ICCV | Towards Geospatial Foundation Models via Continual Pretraining. | Matas Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen |
| 2023 | ICCV | FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. | Guangyu Sun, Matas Mendieta, Jun Luo, Shandong Wu, Chen Chen |
| 2022 | CVPR | Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. | Matas Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen |
| 2021 | AAAI | CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction. | Matas Mendieta, Hamed Tabkhi |
| 2021 | ICCV | 3D Human Pose Estimation with Spatial and Temporal Transformers. | Ce Zheng, Sijie Zhu, Matas Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding |