1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022
CLNode: Curriculum Learning for Node Classification
Xiaowen Wei, Xiuwen Gong, Yibing Zhan +3
Node classification is a fundamental graph-based task that aims to predict the classes of unlabeled nodes, for which Graph Neural Networks (GNNs) are the state-of-the-art methods.…
cs.LG2021
Fast Multi-label Learning
Xiuwen Gong, Dong Yuan, Wei Bao
Embedding approaches have become one of the most pervasive techniques for multi-label classification. However, the training process of embedding methods usually involves a complex…
cs.LG2020★ 1 cited
Online Metric Learning for Multi-Label Classification
Xiuwen Gong, Jiahui Yang, Dong Yuan +1
Existing research into online multi-label classification, such as online sequential multi-label extreme learning machine (OSML-ELM) and stochastic gradient descent (SGD), has achie…