| Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training Y Wu, L Li, C Xu KDD 2025, 2024 | 10 | 2024 |
| FedINS2: A Federated-Edge-Learning-Based Inertial Navigation System With Segment Fusion J Wang, Y Wu, E Liu, X Wu, X Qu, Y Geng, H Zhang IEEE Internet of Things Journal, 2023 | 9 | 2023 |
| Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing Y Wu, L Li, C Tian, T Chang, C Lin, C Wang, CZ Xu IWQoS 2024, 2024 | 3 | 2024 |
| The Detection and Rectification for Identity-Switch Based on the Unfalsified Control J Huang, X He, Y Wu, S Zhao CASA 2024, 2024 | 2 | 2024 |
| Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting C Tian, L Li, K Tam, Y Wu, CZ Xu IEEE Transactions on Parallel and Distributed Systems, 2024 | 1 | 2024 |
| NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training Y Wu, L Li, C Tian, D Chen, C Xu arXiv, 2024 | 1 | 2024 |
| Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks S Zhan, Y Wu*(co-first author), C Tian, Y Zhao, L Li IWQoS 2024, 2024 | 1 | 2024 |
| Honey: Harmonizing Progressive Federated Learning via Elastic Synergy across Different Training Blocks Y Wu, L Li, M Ye, C Tian, KH Tam, H Sun, C Xu | | 2024 |
| Uwb Fusion Localization System with Anchor Position Reverse Estimation Based on Wavelet Transform and Los/Nlos Recognition J Wang, Y Wu, N Li, Y Jiang, L Zhang, R Lai, J Tian | | 2024 |
| High-precision Positioning with the Help of Reconfigurable Intelligent Surface Y Wu, R Wang MMTC, 2021 | | 2021 |
Li LiUniversity of MacauZweryfikowany adres z um.edu.mo