Heterogeneous Federated Learning with Cross-layer Model Fusion J Jin, Q Wang, X Liu 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2023 | 40 | 2023 |
Adversarial unsupervised domain adaptation for cross scenario waveform recognition Q Wang, P Du, X Liu, J Yang, G Wang Signal Processing 171, 107526, 2020 | 28 | 2020 |
Communication reducing quantization for federated learning with local differential privacy mechanism H Zong, Q Wang, X Liu, Y Li, Y Shao 2021 IEEE/CIC International Conference on Communications in China (ICCC), 75-80, 2021 | 16 | 2021 |
Reinforcement learning based a non-zero-sum game for secure transmission against smart jamming C Zhao, Q Wang, X Liu, C Li, L Shi Digital Signal Processing 112, 103002, 2021 | 15 | 2021 |
Sparse personalized federated learning X Liu, Y Li, Q Wang, X Zhang, Y Shao, Y Geng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 14* | 2023 |
Sparse federated learning with hierarchical personalization models X Liu, Q Wang, Y Shao, Y Li IEEE Internet of Things Journal, 2023 | 11 | 2023 |
A two-fold group lasso based lightweight deep neural network for automatic modulation classification X Liu, Q Wang, H Wang 2020 IEEE International Conference on Communications Workshops (ICC ¡K, 2020 | 6 | 2020 |
Structured directional pruning via perturbation orthogonal projection X Liu, Q Wang, Y Shao, Y Geng, Y Li IEEE Transactions on Signal Processing, 2024 | 1 | 2024 |