| 2026 | AAAI | CAFU: Constrained Alignment and Filtered Uniformity for Denoising Recommendation. | Xinzhe Jiang, Lei Sang, Yi Zhang, Kaibin Wang, Yiwen Zhang |
| 2026 | AAAI | Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters. | Fang Kai, Yu Zhang, Kaibin Wang, Lei Sang, Yiwen Zhang |
| 2026 | WWW | FedBridge: Accelerating Edge-Assisted Federated Learning for Model-Heterogeneous Clients. | Kaibin Wang, Qiang He, Zeqian Dong, Ziteng Wei, Caslon Chua, Feifei Chen, Hai Jin, Yun Yang |
| 2025 | EuroSys | Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism. | Qiang He, Kaibin Wang, Zeqian Dong, Liang Yuan, Feifei Chen, Hai Jin, Yun Yang |
| 2025 | WWW | Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training. | Kaibin Wang, Qiang He, Zeqian Dong, Rui Chen, Chuan He, Caslon Chua, Feifei Chen, Yun Yang |
| 2023 | WWW | FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures. | Kaibin Wang, Qiang He, Feifei Chen, Chunyang Chen, Faliang Huang, Hai Jin, Yun Yang |
| 2023 | WWW | FedEdge: Accelerating Edge-Assisted Federated Learning. | Kaibin Wang, Qiang He, Feifei Chen, Hai Jin, Yun Yang |