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FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.

S. Yao, Y. Zhao, H. Shao, S. Liu, D. Liu, L. Su, and T. Abdelzaher. SenSys, page 278-291. ACM, (2018)

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SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.S. Yao, Y. Zhao, H. Shao, C. Zhang, A. Zhang, S. Hu, D. Liu, S. Liu, L. Su, and T. Abdelzaher. IMWUT, 2 (3): 144:1-144:21 (2018)Integrated Tracking Initiation Mechanism Based on Probability for Bearing-Only Sensor Networks.Y. Li, Z. Wang, H. Shao, S. Cai, and M. Bao. CWSN, volume 334 of Communications in Computer and Information Science, page 225-236. Springer, (2012)Eugene: Towards Deep Intelligence as a Service.S. Yao, K. Jayarajah, A. Misra, T. Abdelzaher, Y. Hao, Y. Zhao, A. Piao, H. Shao, D. Liu, S. Liu and 2 other author(s). ICDCS, page 1630-1640. IEEE, (2019)Demo: Unsupervised Fill-level Estimation for Smart Trash Removal Systems.Y. Zhao, S. Yao, S. Li, S. Hu, H. Shao, and T. Abdelzaher. EWSN, page 262-263. Junction Publishing, Canada / ACM, (2017)STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.S. Yao, A. Piao, W. Jiang, Y. Zhao, H. Shao, S. Liu, D. Liu, J. Li, T. Wang, S. Hu and 3 other author(s). WWW, page 2192-2202. ACM, (2019)A Constrained Maximum Likelihood Estimator for Unguided Social Sensing.H. Shao, S. Yao, Y. Zhao, C. Zhang, J. Han, L. Kaplan, L. Su, and T. Abdelzaher. INFOCOM, page 2429-2437. IEEE, (2018)SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications.S. Yao, Y. Zhao, H. Shao, D. Liu, S. Liu, Y. Hao, A. Piao, S. Hu, S. Lu, and T. Abdelzaher. INFOCOM, page 1243-1251. IEEE, (2019)GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction.Y. Zhao, S. Li, S. Hu, L. Su, S. Yao, H. Shao, H. Wang, and T. Abdelzaher. ICCPS, page 229-238. ACM, (2017)RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations.S. Yao, Y. Zhao, H. Shao, A. Zhang, C. Zhang, S. Li, and T. Abdelzaher. CoRR, (2017)An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers.Y. Zhao, S. Li, S. Hu, H. Wang, S. Yao, H. Shao, and T. Abdelzaher. PVLDB, 9 (9): 696-707 (2016)

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FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.

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FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.