Data-free diversity-based ensemble selection for one-shot federated learning N Wang, W Feng, M Duan, F Liu, SK Ng Transactions on Machine Learning Research, 2023 | 10* | 2023 |
Unraveling model-agnostic meta-learning via the adaptation learning rate Y Zou, F Liu, Q Li ICLR 2021, 2021 | 10 | 2021 |
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality F Liu, H Yang, S Hayou, Q Li Transactions on Machine Learning Research, 2022 | 7* | 2022 |
Cross-Domain Feature Augmentation for Domain Generalization Y Liu, Y Zou, R Qiao, F Liu, ML Lee, W Hsu IJCAI 2024, 2024 | 5 | 2024 |
From Generalization Analysis to Optimization Designs for State Space Models F Liu, Q Li ICML 2024, 2024 | 5 | 2024 |
Paid with Models: Optimal Contract Design for Collaborative Machine Learning B Wang, Z Wu, F Liu, BKH Low AAAI 2025, 2024 | | 2024 |
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models F Liu, Q Li ICLR 2025, 2024 | | 2024 |