5 papers
Wireless Intelligence Needs a Cerebellum: Score-Based Foundation Models Toward Real-Time Physical-Layer Inference
Chang Cai, Boyu Teng, Xiaojun Yuan +1
Wireless intelligence requires not only large foundation models for network-wide planning and decision-making, but also a compact "cerebellum" for fast and precise physical-layer i…
Joint Activity Detection and Channel Estimation for Massive Connectivity: Where Message Passing Meets Score-Based Generative Priors
Chang Cai, Wenjun Jiang, Xiaojun Yuan +1
Massive connectivity supports the sporadic access of a vast number of devices without requiring prior permission from the base station (BS). In such scenarios, the BS must perform…
Score-Based Turbo Message Passing for Plug-and-Play Compressive Imaging
Chang Cai, Hao Jiang, Xiaojun Yuan +1
Message-passing algorithms have been adapted for compressive imaging by incorporating various off-the-shelf image denoisers. However, these denoisers rely largely on generic or han…
Score-Based Turbo Message Passing for Plug-and-Play Compressive Image Recovery
Chang Cai, Xiaojun Yuan, Ying-Jun Angela Zhang
Message passing algorithms have been tailored for compressive imaging applications by plugging in different types of off-the-shelf image denoisers. These off-the-shelf denoisers mo…
Scoring ISAC: Benchmarking Integrated Sensing and Communications via Score-Based Generative Modeling
Lin Chen, Chang Cai, Huiyuan Yang +2
Integrated sensing and communications (ISAC) is a key enabler for next-generation wireless systems, aiming to support both high-throughput communication and high-accuracy environme…