activity
20182021
most citedAn attention-based multi-resolution model for prostate whole slide imageclassification and localization

35 citations · 64 across the 6 of their papers we have counts for

collaborators

7 papers

math.NA20212 cited

Contrast-independent partially explicit time discretizations for nonlinear multiscale problems

Eric T. Chung, Yalchin Efendiev, Wing Tat Leung +1

This work continues a line of works on developing partially explicit methods for multiscale problems. In our previous works, we have considered linear multiscale problems, where th…

eess.IV20206 cited

A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning

Jiayun Li, Wenyuan Li, Anthony Sisk +4

Histopathological images provide rich information for disease diagnosis. Large numbers of histopathological images have been digitized into high resolution whole slide images, open…

cs.IR20202 cited

A Social Search Model for Large Scale Social Networks

Yunzhong He, Wenyuan Li, Liang-Wei Chen +4

With the rise of social networks, information on the internet is no longer solely organized by web pages. Rather, content is generated and shared among users and organized around t…

cs.LG20193 cited

Semi-supervised Learning using Adversarial Training with Good and Bad Samples

Wenyuan Li, Zichen Wang, Yuguang Yue +4

In this work, we investigate semi-supervised learning (SSL) for image classification using adversarial training. Previous results have illustrated that generative adversarial netwo…

cs.CV201935 cited

An attention-based multi-resolution model for prostate whole slide imageclassification and localization

Jiayun Li, Wenyuan Li, Arkadiusz Gertych +3

Histology review is often used as the `gold standard' for disease diagnosis. Computer aided diagnosis tools can potentially help improve current pathology workflows by reducing exa…

cs.LG201916 cited

Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach

Wenyuan Li, Zichen Wang, Jiayun Li +3

Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention. Among them, two distinct approaches have achieved competiti…