16 citations · 38 across the 19 of their papers we have counts for
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cs.LG2021★ 13 cited
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks
Haimin Zhang, Min Xu, Guoqiang Zhang +1
Graph convolutional networks have been successfully applied in various graph-based tasks. In a typical graph convolutional layer, node features are updated by aggregating neighborh…
cs.CV2021★ 3 cited
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
Jiahao Xia, Haimin Zhang, Shiping Wen +2
While Convolutional Neural Networks (CNNs) have significantly boosted the performance of face related algorithms, maintaining accuracy and efficiency simultaneously in practical us…
cs.CV2021
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations
Haimin Zhang, Min Xu
Deep neural networks have been successfully applied in various machine learning tasks. However, studies show that neural networks are susceptible to adversarial attacks. This expos…