Xiaofeng Liu

According to our database, Xiaofeng Liu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sparse Personalized Federated Learning.

Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Breaking the Performance Gap of Fully and Semisupervised Learning in Electromagnetic Signature Recognition.

Haozhi Wang, Qing Wang, Luyong Chen, Guanyang Fu, Xiaofeng Liu, Zhicheng Dong, Erdal Panayirci

IEEE Internet Things J., January, 2024

Sparse Federated Learning With Hierarchical Personalization Models.

Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li

IEEE Internet Things J., 2024

2023

Heterogeneous Federated Learning with Cross-layer Model Fusion.

Jing Jin, Qing Wang, Xiaofeng Liu

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022

Tensor Decomposition based Personalized Federated Learning.

Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li

CoRR, 2022

2021

Reinforcement learning based a non-zero-sum game for secure transmission against smart jamming.

Chenyu Zhao, Qing Wang, Xiaofeng Liu, Chun Li, Lidong Shi

Digit. Signal Process., 2021

Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions.

Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng

CoRR, 2021

Structured Directional Pruning via Perturbation Orthogonal Projection.

Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng

CoRR, 2021

Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism.

Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020

Adversarial unsupervised domain adaptation for cross scenario waveform recognition.

Qing Wang, Panfei Du, Xiaofeng Liu, Jingyu Yang, Guohua Wang

Signal Process., 2020

A Two-Fold Group Lasso Based Lightweight Deep Neural Network for Automatic Modulation Classification.

Xiaofeng Liu, Qing Wang, Haozhi Wang

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020