The growing adoption of artificial intelligence in space communications has imposed increasingly demanding efficiency requirements on deep learning training for tasks such as intelligent signal processing and resource allocation. However, performance disparities and workload fluctuations across heterogeneous nodes caus...
Rui-Ming Wen, Wen-Jing Hou, Hong Wen et al.· Aerospace· 0 citations
Semantic communication offers a method for task-oriented information delivery in artificial intelligence (AI)-enabled space networks, but compact semantic representations remain vulnerable to fading, noise, and structured corruption during transmission. This work proposes Clean–Impaired Semantic Preservation for Robust...
Yu-Lin Peng, Hong Wen, Liang Chen et al.· Aerospace· 0 citations
Unmanned aerial vehicle (UAV) path planning is widely applied in fields such as Internet of Things (IoT) environmental monitoring, intelligent transportation, low-altitude logistics, and autonomous inspection. With the rapid development of UAV intelligence, natural language task planning powered by Large Language Model...
Wen-Jing Hou, Hong Wen, Jun-Yi Gao et al.· Aerospace· 0 citations
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