7 papers
Environment-Conditioned Diffusion Meta-Learning for Data-Efficient WiFi Localization
Jun Gao, Zheng Xing, Wenliang Lin +5
Fingerprinting-based localization often suffers from poor cross-environment generalization, especially when only a few labeled samples are available in the target environment. Exis…
Survey-Free Radio Map Construction via HMM-Based Coarse-to-Fine Inference
Zheng Xing, Weibing Zhao, Guanghui Zhang +6
Traditional radio map construction methods mandate labor-intensive data collection and precise location labeling. To address these limitations, we propose a novel survey-free appro…
Annotation-Free Indoor Radio Mapping via Physics-Informed Trajectory Inference
Zheng Xing, Mengru Wu, Yi Zhang +6
Constructing indoor radio maps traditionally requires extensive site surveys with precise user-location labels, making the calibration process costly and time-consuming. Existing c…
A Retrieval-Assisted Framework for Wireless Localization
Haoyu Huang, Guangjin Pan, Kaixuan Huang +5
Accurate and robust wireless localization is a key enabler for a wide range of mobile computing applications. Fingerprint-based localization using channel state information (CSI) h…
Blind Radio Mapping via Spatially Regularized Bayesian Trajectory Inference
Zheng Xing, Junting Chen
Radio maps enable intelligent wireless applications by capturing the spatial distribution of channel characteristics. However, conventional construction methods demand extensive lo…
Unsupervised Radio Map Construction in Mixed LoS/NLoS Indoor Environments
Zheng Xing, Junting Chen
Radio maps are essential for enhancing wireless communications and localization. However, existing methods for constructing radio maps typically require costly calibration processe…