6 citations · 22 across the 12 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
HIRL: A General Framework for Hierarchical Image Representation Learning
Minghao Xu, Yuanfan Guo, Xuanyu Zhu +5
Learning self-supervised image representations has been broadly studied to boost various visual understanding tasks. Existing methods typically learn a single level of image semant…
cs.CV2021★ 1 cited
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Shengjia Zhang, Tiancheng Lin, Yi Xu
By leveraging data from a fully labeled source domain, unsupervised domain adaptation (UDA) improves classification performance on an unlabeled target domain through explicit discr…
astro-ph.GA2021★ 25 cited
EMPRESS. VI. Outflows Investigated in Low-Mass Galaxies with : Weak Feedback in Low-Mass Galaxies?
Yi Xu, Masami Ouchi, Michael Rauch +10
We study emission line profiles of 21 nearby low-mass () galaxies in deep medium-high resolution spectra taken with Magellan/MagE. These low-mass galaxies ar…