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AER: Auto-Encoder with Regression for Time Series Anomaly Detection


Dec 27, 2022
Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni

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* This work is accepted by IEEE BigData 2022. The paper contains 10 pages, 6 figures, and 4 tables 

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Sintel: A Machine Learning Framework to Extract Insights from Signals


Apr 19, 2022
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Equille, Kalyan Veeramachaneni

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* This work is accepted by ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2022) 

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The Need for Interpretable Features: Motivation and Taxonomy


Feb 23, 2022
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni

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* 11 pages, 4 figures, 2 tables 

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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

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* 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

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* 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

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* 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

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

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