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HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions


Sep 18, 2022
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou

* Preprint, to appear in NeurIPS 2022 

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ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset


Aug 17, 2022
Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu

* 15 pages, 6 figures 

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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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