9 citations · 43 across the 14 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021★ 8 cited
Conditional GANs with Auxiliary Discriminative Classifier
Liang Hou, Qi Cao, Huawei Shen +3
Conditional generative models aim to learn the underlying joint distribution of data and labels to achieve conditional data generation. Among them, the auxiliary classifier generat…
cs.LG2021★ 7 cited
Self-Supervised GANs with Label Augmentation
Liang Hou, Huawei Shen, Qi Cao +1
Recently, transformation-based self-supervised learning has been applied to generative adversarial networks (GANs) to mitigate catastrophic forgetting in the discriminator by intro…
cs.SI2021★ 7 cited
SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang, Huawei Shen, Liang Hou +1
Network embedding is aimed at mapping nodes in a network into low-dimensional vector representations. Graph Neural Networks (GNNs) have received widespread attention and lead to st…