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DeHumor: Visual Analytics for Decomposing Humor

Jul 18, 2021
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu

* 15 pages. A preprint version of a publication at IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021 

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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

* 14 pages 

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DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models

Aug 19, 2020
Furui Cheng, Yao Ming, Huamin Qu

* 10 pages, 7 figures. The paper will be published on IEEE Transactions on Visualization and Computer Graphics (TVCG) 

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Interpretable and Steerable Sequence Learning via Prototypes

Jul 23, 2019
Yao Ming, Panpan Xu, Huamin Qu, Liu Ren

* Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019 
* Accepted as a full paper at KDD 2019 on May 8, 2019 

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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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RuleMatrix: Visualizing and Understanding Classifiers with Rules

Jul 17, 2018
Yao Ming, Huamin Qu, Enrico Bertini

* Accepted by IEEE Conference of Visual Analytics Science and Technology 2018 

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Understanding Hidden Memories of Recurrent Neural Networks

Oct 30, 2017
Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu

* Published at IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2017) 

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