2 papers
cs.LG2020
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Sitong Mao, Jiaxin Chen, Xiao Shen +1
Domain adaptation refers to the learning scenario that a model learned from the source data is applied on the target data which have the same categories but different distribution.…
cs.SI2019
Deep Network Embedding for Graph Representation Learning in Signed Networks
Xiao Shen, Fu-Lai Chung
Network embedding has attracted an increasing attention over the past few years. As an effective approach to solve graph mining problems, network embedding aims to learn a low-dime…