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NumGPT: Improving Numeracy Ability of Generative Pre-trained Models


Sep 07, 2021
Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu

* 8 pages, 3 figures 

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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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M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis


Aug 01, 2021
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu

* 11 pages, 7 figures. This paper is accepted by IEEE VIS, 2021. To appear in IEEE Transactions on Visualization and Computer Graphics (TVCG) 

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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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Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network


Aug 15, 2020
Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu

* 8 pages, 8 figures. Accepted at CIKM 2020 

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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

* 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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VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking


Jan 22, 2020
Xingbo Wang, Haipeng Zeng, Yong Wang, Aoyu Wu, Zhida Sun, Xiaojuan Ma, Huamin Qu

* Accepted by CHI '20 

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SirenLess: reveal the intention behind news


Jan 08, 2020
Xumeng Chen, Leo Yu-Ho Lo, Huamin Qu

* 9 pages, 8 figures 

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EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos


Jul 29, 2019
Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, Huamin Qu

* 11 pages, 8 figures. Accepted by IEEE VAST 2019 

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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

* 11 pages 

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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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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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Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach


Aug 02, 2018
Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu

* A version of this work is under review 

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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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CNNComparator: Comparative Analytics of Convolutional Neural Networks


Oct 15, 2017
Haipeng Zeng, Hammad Haleem, Xavier Plantaz, Nan Cao, Huamin Qu

* 5 pages. This paper has been accepted by VADL 2017: Workshop on Visual Analytics for Deep Learning 

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