9 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…
Near-Field Position and Orientation Tracking With Hybrid ELAA Architecture
Lin Chen, Xiaojun Yuan, Ying-Jun Angela Zhang
This paper investigates near-field (NF) position and orientation tracking of a multi-antenna mobile station (MS) using an extremely large antenna array (ELAA)-equipped base station…
FedCova: Robust Federated Covariance Learning Against Noisy Labels
Xiangyu Zhong, Xiaojun Yuan, Ying-Jun Angela Zhang
Noisy labels in distributed datasets induce severe local overfitting and consequently compromise the global model in federated learning (FL). Most existing solutions rely on select…
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…