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CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference.

, , , and . SDM, page 459-467. SIAM, (2021)

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Predicting short-term Bitcoin price fluctuations from buy and sell orders., and . CoRR, (2018)On the geometry and learning low-dimensional embeddings for directed graphs, , , and . International Conference on Learning Representations, (2020)Development and improvement of the simulation of woody bioenergy crops in the Soil and Water Assessment Tool (SWAT)., , , , , and . Environ. Model. Softw., (2019)EPNet: Learning to Exit with Flexible Multi-Branch Network., , and . CIKM, page 235-244. ACM, (2020)MODI: Mobile Deep Inference Made Efficient by Edge Computing., and . HotEdge, USENIX Association, (2018)FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models., , , , , , and . SIGMETRICS (Abstracts), page 35-36. ACM, (2023)Demo: ARFlow: A Framework for Simplifying AR Experimentation Workflow., and . HotMobile, page 154. ACM, (2024)Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage., , and . IC2E, page 99-109. IEEE, (2021)Hedgerow Affects on Physical Properties in Different Soil Layers on Sloping Land in Purple Soil Zone., and . ICDMA, page 462-465. IEEE Computer Society, (2012)PointAR: Efficient Lighting Estimation for Mobile Augmented Reality., and . ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 678-693. Springer, (2020)