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…
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…
cs.LG2023
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…