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Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices.

X. Ma, G. Li, L. Liu, H. Liu, L. Liu, and X. Feng. ISPA/BDCloud/SocialCom/SustainCom, page 390-397. IEEE, (2021)

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M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Jie Li University of Stuttgart

Zheng Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Loss evaluation analysis of illegal attack in SCSKP.P. Zhang, L. Liu, R. Zhang, and G. Li. Soft Comput., 21 (2): 515-524 (2017)Preparation of Cu2O-Reduced Graphene Nanocomposite Modified Electrodes towards Ultrasensitive Dopamine Detection.Q. He, J. Liu, X. Liu, G. Li, P. Deng, and J. Liang. Sensors, 18 (1): 199 (2018)Rapid and Sensitive Determination of Vanillin Based on a Glassy Carbon Electrode Modified with Cu2O-Electrochemically Reduced Graphene Oxide Nanocomposite Film.J. Ning, Q. He, X. Luo, M. Wang, D. Liu, J. Wang, J. Liu, and G. Li. Sensors, 18 (9): 2762 (2018)Background Subtraction on Depth Videos with Convolutional Neural Networks.X. Wang, L. Liu, G. Li, X. Dong, P. Zhao, and X. Feng. IJCNN, page 1-7. IEEE, (2018)Exploiting the input sparsity to accelerate deep neural networks: poster.X. Dong, L. Liu, G. Li, J. Li, P. Zhao, X. Wang, and X. Feng. PPoPP, page 401-402. ACM, (2019)Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge.G. Li, L. Liu, X. Wang, X. Dong, P. Zhao, and X. Feng. ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 402-411. Springer, (2018)Fast CNN Pruning via Redundancy-Aware Training.X. Dong, L. Liu, G. Li, P. Zhao, and X. Feng. ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 3-13. Springer, (2018)WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks.H. Yu, Q. Cheng, J. Shao, B. Yu, G. Li, and S. Lü. GSKI (2), volume 849 of Communications in Computer and Information Science, page 531-543. Springer, (2017)Asking Images: Hybrid Recommendation System for Tourist Spots by Hierarchical Sampling Statistics and Multimodal Visual Bayesian Personalized Ranking.G. Li, T. Zhu, J. Hua, T. Yuan, Z. Niu, T. Li, and H. Zhang. IEEE Access, (2019)Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity.X. Dong, L. Liu, P. Zhao, G. Li, J. Li, X. Wang, and X. Feng. PACT, page 178-191. IEEE, (2019)

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Disambiguation of "Li, Guangli"

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Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Jie Li University of Stuttgart

Zheng Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Li, Guangli"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Jie Li University of Stuttgart

Zheng Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices.