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Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search.

, , , , , and . ICWS, page 725-730. IEEE Computer Society, (2015)

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Characterizing and Detecting WebAssembly Runtime Bugs., , , , , , , , and . CoRR, (2023)ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning., , , , , , , , , and . ASPLOS (2), page 266-280. ACM, (2023)Characterizing Service Access Patterns under Heterogeneous Clients., , , , , , , and . SCC, page 57-59. IEEE, (2020)Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data., , and . CoRR, (2018)Refactoring android Java code for on-demand computation offloading., , , , , and . OOPSLA, page 233-248. ACM, (2012)Mining Device-Specific Apps Usage Patterns from Appstore Big Data., , , and . Big Data (CCF), volume 945 of Communications in Computer and Information Science, page 55-76. Springer, (2018)Voting with Their Feet: Inferring User Preferences from App Management Activities., , , , , , and . WWW, page 1351-1362. ACM, (2016)Measurement and Analysis of Mobile Web Cache Performance., , , , , and . WWW, page 691-701. ACM, (2015)MalRadar: Demystifying Android Malware in the New Era., , , , , , and . SIGMETRICS (Abstracts), page 21-22. ACM, (2022)Cost-effective data analytics across multiple cloud regions., , , , and . SIGCOMM Posters and Demos, page 1-3. ACM, (2021)