4 papers
Token Encoding for Semantic Recovery
Jingzhi Hu, Ouya Wang, Geoffrey Ye Li
In generative semantic communication, semantic tokens guide receiver-side generative models to synthesize high-dimensional content. In challenging network environments, however, fr…
Distillation-Enabled Knowledge Alignment for Generative Semantic Communications of AIGC Images
Jingzhi Hu, Geoffrey Ye Li
Due to the surging amount of AI-generated images, its provisioning to edges and mobile users from the cloud incurs substantial traffic on networks. Generative semantic communicatio…
Distillation-Enabled Knowledge Alignment Protocol for Semantic Communication in AI Agent Networks
Jingzhi Hu, Geoffrey Ye Li
Future networks are envisioned to connect massive artificial intelligence (AI) agents, enabling their extensive collaboration on diverse tasks. Compared to traditional entities, th…
Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks
Jingzhi Hu, Geoffrey Ye Li
Future communication networks are expected to connect massive distributed artificial intelligence (AI). Exploiting aligned priori knowledge of AI pairs, it is promising to convert…