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Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection


May 27, 2022
Hao Chen, Wenyuan Li, Song Chen, Zhenwei Shi

* Submitted to IEEE for possible publication. 17 pages, 7 figures 

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Geographical Knowledge-driven Representation Learning for Remote Sensing Images


Jul 12, 2021
Wenyuan Li, Keyan Chen, Hao Chen, Zhenwei Shi

* 13 pages, 5 figures 

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


Nov 05, 2020
Jiayun Li, Wenyuan Li, Anthony Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold

* 9 pages, 6 figures 

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A Social Search Model for Large Scale Social Networks


May 09, 2020
Yunzhong He, Wenyuan Li, Liang-Wei Chen, Gabriel Forgues, Xunlong Gui, Sui Liang, Bo Hou

* 8 pages, 8 figures 

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


Oct 18, 2019
Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold


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


May 30, 2019
Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold

* 8 pages, 4 figures, CVPR 2019 Towards Causal, Explainable and Universal Medical Visual Diagnosis (MVD) Workshop 

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


May 17, 2019
Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey Arnold

* This paper appears at CVPR 2019 Weakly Supervised Learning for Real-World Computer Vision Applications (LID) Workshop 

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Semi-supervised Rare Disease Detection Using Generative Adversarial Network


Dec 03, 2018
Wenyuan Li, Yunlong Wang, Yong Cai, Corey Arnold, Emily Zhao, Yilian Yuan

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Conditional Activation for Diverse Neurons in Heterogeneous Networks


Mar 13, 2018
Albert Lee, Bonnie Lam, Wenyuan Li, Hochul Lee, Wei-Hao Chen, Meng-Fan Chang, Kang. -L. Wang


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