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Autonomous Learning System Towards Mobile Intelligence.

, , , , and . Int. J. Softw. Informatics, 11 (2): 149-168 (2021)

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When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning., , , , , and . CoRR, (2018)Autonomous Learning System Towards Mobile Intelligence., , , , and . Int. J. Softw. Informatics, 11 (2): 149-168 (2021)Background Filtering and Object Detection With a Stationary LiDAR Using a Layer-Based Method., , , , , and . IEEE Access, (2020)A First Look at Deep Learning Apps on Smartphones., , , , , and . WWW, page 2125-2136. ACM, (2019)An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications., , , , , , and . ICSE, page 674-685. IEEE, (2021)A comprehensive study on challenges in deploying deep learning based software., , , , , and . ESEC/SIGSOFT FSE, page 750-762. ACM, (2020)Demystifying Developers' Issues in Distributed Training of Deep Learning Software., , , , , , and . CoRR, (2021)Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study., , , , , and . CoRR, (2020)Multi-resource interleaving for deep learning training., , , , , and . SIGCOMM, page 428-440. ACM, (2022)Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance., , , , , and . EMDL@MobiSys, page 31-36. ACM, (2021)