| Asynchronous semi-supervised federated learning with provable convergence in edge computing N Yang, D Yuan, Y Zhang, Y Deng, W Bao IEEE Network 36 (5), 136-143, 2022 | 9 | 2022 |
| Coarse-to-fine: A hierarchical DNN inference framework for edge computing Z Zhang, Y Zhang, W Bao, C Li, D Yuan Future Generation Computer Systems 157, 180-192, 2024 | 2 | 2024 |
| A two-level architecture for deep learning applications in mobile edge computing Z Zhang, Y Zhang, D Yuan, W Bao Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet …, 2022 | 2 | 2022 |
| Non-Intrusive Load Monitoring for Energy Management in Smart Grids Incorporating EVs N Yang, Y Wang, Y Zhang, D Yuan IEEE Transactions on Consumer Electronics, 2024 | 1 | 2024 |
| ITIF: Integrated Transformers Inference Framework for Multiple Tenants on GPU Y Zhang, Z Zhang, W Bao, D Yuan Proceedings of the 52nd International Conference on Parallel Processing, 112-121, 2023 | 1 | 2023 |
| Stability-driven CNN training with Lyapunov-based dynamic learning rate D Tang, N Yang, Y Deng, Y Zhang, AS Sani, D Yuan Australasian Database Conference, 58-70, 2025 | | 2025 |
| Adaptformer: An Adaptive Multimodal Deep Decomposition Approach for Power Consumption Forecasting N Yang, Y Zhang, Y Wang, D Tang, Y Li, D Yuan International Conference on Advanced Data Mining and Applications, 48-62, 2025 | | 2025 |
