104 citations · 109 across the 2 of their papers we have counts for
3 papers
cs.CV2020
Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion
Sunny Verma, Chen Wang, Liming Zhu +1
The principal component analysis network (PCANet) is an unsupervised parsimonious deep network, utilizing principal components as filters in its convolution layers. Albeit powerful…
cs.LG2019★ 104 cited
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Huijun Wu, Chen Wang, Yuriy Tyshetskiy +3
Graph deep learning models, such as graph convolutional networks (GCN) achieve remarkable performance for tasks on graph data. Similar to other types of deep models, graph deep lea…
cs.LG2017★ 5 cited
Interpreting Shared Deep Learning Models via Explicable Boundary Trees
Huijun Wu, Chen Wang, Jie Yin +2
Despite outperforming the human in many tasks, deep neural network models are also criticized for the lack of transparency and interpretability in decision making. The opaqueness r…