29 citations · 59 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 8 cited
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang, Hao Zhu, Zixing Song +2
Although augmentations (e.g., perturbation of graph edges, image crops) boost the efficiency of Contrastive Learning (CL), feature level augmentation is another plausible, compleme…
cs.LG2022★ 22 cited
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Yifei Zhang, Hao Zhu, Ziqiao Meng +2
Graph Neural Networks (GNNs) have achieved remarkable success by extending traditional convolution to learning on non-Euclidean data. The key to the GNNs is adopting the neural mes…
cs.LG2020★ 29 cited
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
Yifei Zhang, Hao Zhu
The financial sector presents many opportunities to apply various machine learning techniques. Centralized machine learning creates a constraint which limits further applications i…