activity
20162025
most citedLayer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

87 citations · 350 across the 30 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.SI2017★ 30 cited

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

Ziniu Hu, Weiqing Liu, Jiang Bian +2

Stock trend prediction plays a critical role in seeking maximized profit from stock investment. However, precise trend prediction is very difficult since the highly volatile and no…

cs.SE2017

Automating Release of Deep Link APIs for Android Applications

Yun Ma, Ziniu Hu, Dian Yang +1

Unlike the Web where each web page has a global URL to reach, a specific "content page" inside a mobile app cannot be opened unless the user explores the app with several operation…

cs.SE2017★ 4 cited

DroidWalker: Generating Reproducible Test Cases via Automatic Exploration of Android Apps

Ziniu Hu, Yun Ma, Yangyang Huang

Generating test cases through automatic app exploration is very useful for analyzing and testing Android apps. However, test cases generated by current app-exploration tools are no…

cs.SE2017★ 5 cited

Towards Release Strategy Optimization for Apps in Google Play

Sheng Shen, Xuan Lu, Ziniu Hu

In the appstore-centric ecosystem, app developers have an urgent requirement to optimize their release strategy to maximize the success opportunity of their apps. To address this p…

cs.HC2017★ 1 cited

Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users

Ziniu Hu, Yun Ma, Qiaozhu Mei +1

Mobile applications (a.k.a., apps), which facilitate a large variety of tasks on mobile devices, have become indispensable in our everyday lives. Accomplishing a task may require t…