1.3k citations · 1.4k across the 7 of their papers we have counts for
7 papers
RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
Shuai Chen, Yong Zu, Zhixi Feng +2
The growing scarcity of spectrum resources and rapid proliferation of wireless devices make efficient radio network management critical. While deep learning-enhanced Cognitive Radi…
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Qiang Wu, Gechang Yao, Zhixi Feng +1
Time series analysis finds wide applications in fields such as weather forecasting, anomaly detection, and behavior recognition. Previous methods attempted to model temporal variat…
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…
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…
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…
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Yuting Yang, Licheng Jiao, Xu Liu +4
Dynamic attention mechanism and global modeling ability make Transformer show strong feature learning ability. In recent years, Transformer has become comparable to CNNs methods in…
A Survey of Deep Learning-based Object Detection
Licheng Jiao, Fan Zhang, Fang Liu +4
Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in peoples life, such as monitoring security, autonomous dr…