5 papers
When Multi-Robot Systems Meet Agentic AI:Towards Embodied Collective Intelligence
Yuxuan Yan, Yuanyuan Jia, Qianqian Yang
Embodied AI is increasingly becoming agentic, shifting robots from perception--control pipelines towards closed-loop systems that can retrieve context, deliberate during execution,…
CoVSpec: Efficient Device-Edge Co-Inference for Vision-Language Models via Speculative Decoding
Yuanyuan Jia, Shunpu Tang, Qianqian Yang
Vision-language models (VLMs) have demonstrated strong capabilities in multimodal perception and reasoning. However, deploying large VLMs on mobile devices remains challenging due…
Secure Digital Semantic Communications: Fundamentals, Challenges, and Opportunities
Weixuan Chen, Qianqian Yang, Yuanyuan Jia +5
Semantic communication (SemCom) has emerged as a promising paradigm for future wireless networks by prioritizing task-relevant meaning over raw data delivery, thereby reducing comm…
Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models
Shunpu Tang, Yuanyuan Jia, Qianqian Yang +3
Semantic communication (SemCom) has recently emerged as a promising paradigm for next-generation wireless systems. Empowered by advanced artificial intelligence (AI) technologies,…
Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities
Shunpu Tang, Yuanyuan Jia, Zijiu Yang +6
Semantic communication (SemCom) improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networ…