Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Huamin Qu

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Visual Analysis of Discrimination in Machine Learning

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

SirenLess: reveal the intention behind news

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

* 9 pages, 8 figures 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions