2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification
Xiaoyang Hao, Zhixi Feng, Tongqing Peng +1
Automatic modulation classification (AMC) is an effective way to deal with physical layer threats of the internet of things (IoT). However, there is often label mislabeling in prac…
cs.CV2024
Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover Classification
Jianfeng Cai, Yue Ma, Zhixi Feng +1
Polarimetric synthetic aperture radar (PolSAR) image interpretation is widely used in various fields. Recently, deep learning has made significant progress in PolSAR image classifi…
eess.SP2023★ 2 cited
AMC-Net: An Effective Network for Automatic Modulation Classification
Jiawei Zhang, Tiantian Wang, Zhixi Feng +1
Automatic modulation classification (AMC) is a crucial stage in the spectrum management, signal monitoring, and control of wireless communication systems. The accurate classificati…