| 2025 | CVPR | Argus: A Compact and Versatile Foundation Model for Vision. | Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu |
| 2025 | CVPR | Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety. | Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li |
| 2025 | ICCV | MixA: A Mixed Attention Approach with Stable Lightweight Linear Attention to Enhance Efficiency of Vision Transformers at the Edge. | Sabbir Ahmed, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu |
| 2025 | ICML | Enhancing Foundation Models with Federated Domain Knowledge Infusion. | Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma |
| 2024 | AAAI | Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. | Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao |
| 2024 | CVPR | FedMef: Towards Memory-Efficient Federated Dynamic Pruning. | Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu |
| 2024 | ECCV | A Simple Background Augmentation Method for Object Detection with Diffusion Model. | Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu |
| 2024 | ICLR | FedWon: Triumphing Multi-domain Federated Learning Without Normalization. | Weiming Zhuang, Lingjuan Lyu |
| 2024 | ICML | COALA: A Practical and Vision-Centric Federated Learning Platform. | Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu |
| 2024 | ICS | Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters. | Wei Gao, Weiming Zhuang, Minghao Li, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2023 | ICCV | TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. | Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu |
| 2023 | ICCV | MAS: Towards Resource-Efficient Federated Multiple-Task Learning. | Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang |
| 2022 | ICLR | Divergence-aware Federated Self-Supervised Learning. | Weiming Zhuang, Yonggang Wen, Shuai Zhang |
| 2022 | MMSP | Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering. | Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin |
| 2021 | ICCV | Collaborative Unsupervised Visual Representation Learning from Decentralized Data. | Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi |