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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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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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BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network

Jan 14, 2021
Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang

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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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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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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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