1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 1 cited
A Robust graph attention network with dynamic adjusted Graph
Xianchen Zhou, Yaoyun Zeng, Hongxia Wang
Graph Attention Networks(GATs) are useful deep learning models to deal with the graph data. However, recent works show that the classical GAT is vulnerable to adversarial attacks.…
math.OC2019
On the Convergence of Primal-Dual Proximal Incremental Aggregated Gradient Algorithms
Zhou Xianchen, Peng Wei, Wang Hongxia
In this paper, we adapt proximal incremental aggregated gradient methods to saddle point problems, which is motivated by decoupling linear transformations in regularized empirical…