185 citations · 349 across the 16 of their papers we have counts for
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cs.SE2022
Automation Slicing and Testing for in-App Deep Learning Models
Hao Wu, Yuhang Gong, Xiaopeng Ke +5
Intelligent Apps (iApps), equipped with in-App deep learning (DL) models, are emerging to offer stable DL inference services. However, App marketplaces have trouble auto testing iA…
cs.SE2020★ 34 cited
Dynamic Slicing for Deep Neural Networks
Ziqi Zhang, Yuanchun Li, Yao Guo +2
Program slicing has been widely applied in a variety of software engineering tasks. However, existing program slicing techniques only deal with traditional programs that are constr…
cs.SE2016
Mitigating Redundant Data Transfers for Mobile Web Applications via App-Specific Cache Space
Xuanzhe Liu, Yun Ma, Shuailiang Dong +4
Redundant transfer of resources is a critical issue for compromising the performance of mobile Web applications (a.k.a., apps) in terms of data traffic, load time, and even energy…