16 citations · 30 across the 5 of their papers we have counts for
5 papers
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification
Xiaofeng Zhang, Zhangyang Wang, Dong Liu +1
Deep learning has revolutionized the performance of classification, but meanwhile demands sufficient labeled data for training. Given insufficient data, while many techniques have…
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Zhangyang Wang, Shiyu Chang, Qing Ling +4
With the agreement of my coauthors, I Zhangyang Wang would like to withdraw the manuscript "Stacked Approximated Regression Machine: A Simple Deep Learning Approach". Some experime…
Learning A Deep Encoder for Hashing
Zhangyang Wang, Yingzhen Yang, Shiyu Chang +2
We investigate the -constrained representation which demonstrates robustness to quantization errors, utilizing the tool of deep learning. Based on the Alternating Dire…
: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
Zhangyang Wang, Ding Liu, Shiyu Chang +3
In this paper, we design a Deep Dual-Domain () based fast restoration model to remove artifacts of JPEG compressed images. It leverages the large learning capacity of…
Learning Deep Encoders
Zhangyang Wang, Qing Ling, Thomas S. Huang
Despite its nonconvex nature, sparse approximation is desirable in many theoretical and application cases. We study the sparse approximation problem with the tool…