activity
20182021
most citedCycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer

7 citations · 11 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20214 cited

Test-Time Training for Deformable Multi-Scale Image Registration

Wentao Zhu, Yufang Huang, Daguang Xu +3

Registration is a fundamental task in medical robotics and is often a crucial step for many downstream tasks such as motion analysis, intra-operative tracking and image segmentatio…

cs.LG2021

DICE: Deep Significance Clustering for Outcome-Aware Stratification

Yufang Huang, Kelly M. Axsom, John Lee +2

We present deep significance clustering (DICE), a framework for jointly performing representation learning and clustering for "outcome-aware" stratification. DICE is intended to ge…

cs.CV20207 cited

Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer

Yufang Huang, Wentao Zhu, Deyi Xiong +3

Unsupervised text style transfer is full of challenges due to the lack of parallel data and difficulties in content preservation. In this paper, we propose a novel neural approach…

math.NA2020

An Efficient Online-Offline Method for Elliptic Homogenization Problems

Yufang Huang, Pingbing Ming, Siqi Song

We present a new numerical method for solving the elliptic homogenization problem. The main idea is that the missing effective matrix is reconstructed by solving the local least-sq…

cs.CV2018

DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection

Wentao Zhu, Yeeleng S. Vang, Yufang Huang +1

Recently deep learning has been witnessing widespread adoption in various medical image applications. However, training complex deep neural nets requires large-scale datasets label…