3 papers
cs.LG2025
Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
Wenzhong Yan, Feng Yin, Jun Gao +3
Fingerprint-based indoor localization is often labor-intensive due to the need for dense grids and repeated measurements across time and space. Maintaining high localization accura…
cs.LG2025
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
Wenzhong Yan, Feng Yin, Juntao Wang +3
In this paper, we design Graph Neural Networks (GNNs) with attention mechanisms to tackle an important yet challenging nonlinear regression problem: massive network localization. W…
eess.SP2025
GenMetaLoc: Learning to Learn Environment-Aware Fingerprint Generation for Sample Efficient Wireless Localization
Jun Gao, Feng Yin, Wenzhong Yan +3
Existing fingerprinting-based localization methods often require extensive data collection and struggle to generalize to new environments. In contrast to previous environment-unkno…