| 2024 | AAAI | On the Role of Server Momentum in Federated Learning. | Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang |
| 2024 | CVPR | Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. | Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang |
| 2024 | ICLR | Unbiased Watermark for Large Language Models. | Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang |
| 2023 | AAAI | Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. | Xidong Wu, Zhengmian Hu, Heng Huang |
| 2023 | AAAI | Faster Adaptive Federated Learning. | Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang |
| 2023 | AISTATS | AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. | Feihu Huang, Xidong Wu, Zhengmian Hu |
| 2023 | ICML | Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. | Zhengmian Hu, Xidong Wu, Heng Huang |
| 2023 | KDD | Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. | Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang |
| 2022 | ICDM | Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. | Xidong Wu, Feihu Huang, Heng Huang |
| 2022 | IJCAI | Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. | Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang |