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20232026
most citedConstructing Indoor Region-based Radio Map without Location Labels

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2026

Foundation Models for Wireless Localization: Pretraining, Adaptation, and Utilization

Guangjin Pan, Jiajia Guo, Zheng Xing +4

Accurate wireless localization is a key enabler for 6G networks, yet remains challenging under diverse and rapidly changing propagation conditions. Model-based methods degrade when…

cs.IT2026

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…

cs.IT2026

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…

eess.SP2026

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…

eess.SP2026

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…

cs.AI2025

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…

cs.LG2025

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…

cs.LG2025

Blind Construction of Angular Power Maps in Massive MIMO Networks

Zheng Xing, Junting Chen

Channel state information (CSI) acquisition is a challenging problem in massive multiple-input multiple-output (MIMO) networks. Radio maps provide a promising solution for radio re…

cs.LG2023★ 1 cited

Constructing Indoor Region-based Radio Map without Location Labels

Zheng Xing, Junting Chen

Radio map construction requires a large amount of radio measurement data with location labels, which imposes a high deployment cost. This paper develops a region-based radio map fr…