| 2026 | KDD | Two Heads Are Better Than One: Generalized Cross-Domain Federated Learning via Dual-Prototype. | Mingsheng Cao, Tianci Chen, Ming Hu, Zhuang Qi, Yangguang Cui, Junlong Zhou, Xiaofei Xie |
| 2025 | ICML | One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory. | Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, Xiaoqiang Li |
| 2024 | EuroPar | Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining. | Yuhang Li, Tong Liu, Wenfeng Shen, Yangguang Cui, Weijia Lu |
| 2022 | DATE | HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing. | Yangguang Cui, Kun Cao, Junlong Zhou, Tongquan Wei |
| 2022 | ICANN | ML-FORMER: Forecasting by Neighborhood and Long-Range Dependencies. | Zengxiang Ke, Yangguang Cui, Liying Li, Tongquan Wei |
| 2022 | UIC | CAIM: A Context-Aware Incentive Mechanism for Robust Federated Learning. | Chunwei Chang, Yangguang Cui, Jianhua Shen, Tongquan Wei |
| 2021 | HPCC | Lifetime-Driven Scheduling of Security-Critical Internet-of-Things Applications on Real-Time Heterogeneous Multicore Systems. | Yufan Shen, Kun Cao, Yangguang Cui, Chengliang Zhou, Gongxuan Zhang, Junlong Zhou |