4 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.SP2023
Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization
Dongze Wu, Jun Gao, Feng Yin
Existing localization approaches utilizing environment-specific channel state information (CSI) excel under specific environment but struggle to generalize across varied environmen…
cs.LG2023★ 2 cited
Robust Representation Learning for Unreliable Partial Label Learning
Yu Shi, Dong-Dong Wu, Xin Geng +1
Partial Label Learning (PLL) is a type of weakly supervised learning where each training instance is assigned a set of candidate labels, but only one label is the ground-truth. How…
eess.SP2022★ 4 cited
MetaLoc: Learning to Learn Wireless Localization
Jun Gao, Dongze Wu, Feng Yin +3
Existing localization methods that intensively leverage the environment-specific received signal strength (RSS) or channel state information (CSI) of wireless signals are rather ac…