1 code implementation • 26 May 2023 • Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan
Attention-based vision models, such as Vision Transformer (ViT) and its variants, have shown promising performance in various computer vision tasks.
no code implementations • 4 Jan 2023 • Xiao Zang, Jie Chen, Bo Yuan
Graph neural networks (GNNs) are a class of effective deep learning models for node classification tasks; yet their predictive capability may be severely compromised under adversarially designed unnoticeable perturbations to the graph structure and/or node data.
no code implementations • 24 Aug 2022 • Xiao Zang, Miao Yin, Lingyi Huang, Jingjin Yu, Saman Zonouz, Bo Yuan
Despite the current development in this direction, the efficient capture and processing of important sequential and spatial information, in a direct and simultaneous way, is still relatively under-explored.
no code implementations • CVPR 2022 • Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan
High-order decomposition is a widely used model compression approach towards compact convolutional neural networks (CNNs).
no code implementations • 28 Mar 2021 • Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan
In this paper, we, for the first time, perform systematic investigation on noise injection-based regularization for point cloud-domain DNNs.
1 code implementation • 12 Feb 2020 • Xiao Zang, Yi Xie, Jie Chen, Bo Yuan
Worse, the bad actors found for one graph model severely compromise other models as well.