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GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks


Dec 03, 2020
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu

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* 14 pages 

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Visual Analysis of Discrimination in Machine Learning


Jul 30, 2020
Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu

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HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models


Feb 12, 2020
Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen

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* This article was submitted to EuroVis 2020 on 5 December 2020. It was not accepted. Because the reviews have not identified any technical problems that would undermine the novelty and validity of this work, we think that the article is ready to be released as an arXiv report. The EuroVis 2020 reviews and authors' short feedback can be found in the anc folder 

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DeepDrawing: A Deep Learning Approach to Graph Drawing


Jul 27, 2019
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

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* 11 pages 

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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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