3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores
Zeliang Zhang, Zhuo Liu, Susan Liang +4
CP decomposition is a powerful tool for data science, especially gene analysis, deep learning, and quantum computation. However, the application of tensor decomposition is largely…
cs.LG2023★ 3 cited
A Novel Noise Injection-based Training Scheme for Better Model Robustness
Zeliang Zhang, Jinyang Jiang, Minjie Chen +3
Noise injection-based method has been shown to be able to improve the robustness of artificial neural networks in previous work. In this work, we propose a novel noise injection-ba…
cs.LG2023★ 3 cited
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang, Peihan Liu, Xiaosen Wang +1
Deep neural networks are widely known to be vulnerable to adversarial examples, especially showing significantly poor performance on adversarial examples generated under the white-…