Search Results for author: Chengnian Sun

Found 3 papers, 0 papers with code

EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation

no code implementations15 Dec 2021 Xingjun Li, Yizhi Zhang, Justin Leung, Chengnian Sun, Jian Zhao

This paper presents EDAssistant, a JupyterLab extension that supports EDA with in-situ search of example notebooks and recommendation of useful APIs, powered by novel interactive visualization of search results.

Code Search

Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network

no code implementations6 Dec 2021 Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang

Furthermore, the queries required by TriggerFinder to find one triggering input is only 51. 8x-535. 6x as small as the baseline.

Model Compression

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