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ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.

H. Li, N. Liu, X. Ma, S. Lin, S. Ye, T. Zhang, X. Lin, W. Xu, and Y. Wang. ACM Great Lakes Symposium on VLSI, page 501-506. ACM, (2019)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Tianyun Jiang

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Ning Zhang

Gang Zhang

Other publications of authors with the same name

On the Optimal Interdiction of Transportation Networks.T. Zhang, and M. Fardad. ACC, page 4701-4706. IEEE, (2020)Data Temperature-Aware Bloom Filters for Flash-Based Storage.W. Li, T. Zhang, D. Zhang, Y. Hu, K. Xie, and T. Zhu. HPCC/SmartCity/DSS, page 1421-1428. IEEE, (2019)Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization.J. Li, T. Zhang, S. Jin, and R. Zafarani. ICASSP, page 1-5. IEEE, (2023)ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.H. Li, N. Liu, X. Ma, S. Lin, S. Ye, T. Zhang, X. Lin, W. Xu, and Y. Wang. ACM Great Lakes Symposium on VLSI, page 501-506. ACM, (2019)INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware.F. Sun, M. Qin, T. Zhang, L. Liu, Y. Chen, and Y. Xie. DAC, page 1-6. IEEE, (2020)A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers.T. Zhang, S. Ye, K. Zhang, J. Tang, W. Wen, M. Fardad, and Y. Wang. ECCV (8), volume 11212 of Lecture Notes in Computer Science, page 191-207. Springer, (2018)Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM.P. Zhao, K. Xu, T. Zhang, M. Fardad, Y. Wang, and X. Lin. GlobalSIP, page 1169-1173. IEEE, (2018)Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning.B. Li, Z. Kong, T. Zhang, J. Li, Z. Li, H. Liu, and C. Ding. EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3187-3199. Association for Computational Linguistics, (2020)Progressive Weight Pruning of Deep Neural Networks using ADMM.S. Ye, T. Zhang, K. Zhang, J. Li, K. Xu, Y. Yang, F. Yu, J. Tang, M. Fardad, S. Liu and 3 other author(s). CoRR, (2018)Loss Attitude Aware Energy Management for Signal Detection.B. Geng, C. Quan, T. Zhang, M. Fardad, and P. Varshney. IEEECONF, page 824-828. IEEE, (2022)

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Disambiguation of "Zhang, Tianyun"

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ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.

Please choose a person to relate this publication to

Tianyun Jiang

Zhang Zhang

Meng Zhang

Ning Zhang

Gang Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Tianyun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.

Please choose a person to relate this publication to

Tianyun Jiang

Zhang Zhang

Meng Zhang

Ning Zhang

Gang Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.