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VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models

Aug 04, 2021
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni

* Accepted to IEEE VIS 2021, To Appeal in IEEE Transactions on Visualization and Computer Graphics 

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Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making

Mar 02, 2021
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni

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Superresolving second-order correlation imaging using synthesized colored noise speckles

Feb 11, 2021
Zheng Li, Xiaoyu Nie, Fan Yang, Xiangpei Liu, Dongyu Liu, Xiaolong Dong, Xingchen Zhao, Tao Peng, M. Suhail Zubairy, Marlan O. Scully

* 13 pages, 5 figures 

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Cardea: An Open Automated Machine Learning Framework for Electronic Health Records

Oct 01, 2020
Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni

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TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Sep 19, 2020
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

* Alexander Geiger and Dongyu Liu contributed equally 

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ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning

Feb 13, 2019
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu

* Published in the ACM Conference on Human Factors in Computing Systems (CHI), 2019, Glasgow, Scotland UK 

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DeepTracker: Visualizing the Training Process of Convolutional Neural Networks

Aug 26, 2018
Dongyu Liu, Weiwei Cui, Kai Jin, Yuxiao Guo, Huamin Qu

* Published at ACM Transactions on Intelligent Systems and Technology (in press) 

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