22 citations · 25 across the 6 of their papers we have counts for
6 papers
Backdoor Attack with Mode Mixture Latent Modification
Hongwei Zhang, Xiaoyin Xu, Dongsheng An +2
Backdoor attacks become a significant security concern for deep neural networks in recent years. An image classification model can be compromised if malicious backdoors are injecte…
Learning for Transductive Threshold Calibration in Open-World Recognition
Qin Zhang, Dongsheng An, Tianjun Xiao +6
In deep metric learning for visual recognition, the calibration of distance thresholds is crucial for achieving desired model performance in the true positive rates (TPR) or true n…
Efficient Optimal Transport Algorithm by Accelerated Gradient descent
Dongsheng An, Na Lei, Xianfeng Gu
Optimal transport (OT) plays an essential role in various areas like machine learning and deep learning. However, computing discrete optimal transport plan for large scale problems…
Cortical Morphometry Analysis based on Worst Transportation Theory
Min Zhang, Dongsheng An, Na Lei +5
Biomarkers play an important role in early detection and intervention in Alzheimer's disease (AD). However, obtaining effective biomarkers for AD is still a big challenge. In this…
AE-OT-GAN: Training GANs from data specific latent distribution
Dongsheng An, Yang Guo, Min Zhang +4
Though generative adversarial networks (GANs) areprominent models to generate realistic and crisp images,they often encounter the mode collapse problems and arehard to train, which…
Mode Collapse and Regularity of Optimal Transportation Maps
Na Lei, Yang Guo, Dongsheng An +4
This work builds the connection between the regularity theory of optimal transportation map, Monge-Ampère equation and GANs, which gives a theoretic understanding of the major draw…