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20212025
most citedAutomatic Modulation Classification Using Involution Enabled Residual Networks

26 citations · 26 across the 5 of their papers we have counts for

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5 papers

cs.LG2025

Data-and-Semantic Dual-Driven Spectrum Map Construction for 6G Spectrum Management

Jiayu Liu, Fuhui Zhou, Xiaodong Liu +3

Spectrum maps reflect the utilization and distribution of spectrum resources in the electromagnetic environment, serving as an effective approach to support spectrum management. Ho…

eess.SP2024

KGAMC: A Novel Knowledge Graph Driven Automatic Modulation Classification Scheme

Yike Li, Lu Yua, Fuhui Zhou +3

Automatic modulation classification (AMC) is a promising technology to realize intelligent wireless communications in the sixth generation (6G) wireless communication networks. Rec…

eess.SP2024

Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection

Xi Song, Lu Yuan, Zhibo Qu +4

Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to the serious challenge, namely, the fin…

cs.AI2023

Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation

Fuhui Zhou, Yihao Li, Ming Xu +4

Semantic communication is envisioned as a promising technique to break through the Shannon limit. However, semantic inference and semantic error correction have not been well studi…

eess.SP2021★ 26 cited

Automatic Modulation Classification Using Involution Enabled Residual Networks

Hao Zhang, Lu Yuan, Guangyu Wu +2

Automatic modulation classification (AMC) is of crucial importance for realizing wireless intelligence communications. Many deep learning based models especially convolution neural…