Author of the publication

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

LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.

R. Ding, Z. Liu, R. Shi, D. Marculescu, and R. Blanton. ACM Great Lakes Symposium on VLSI, page 35-40. ACM, (2017)

Please choose a person to relate this publication to

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.

Ding Ding

Reinhard Ding

Shizhao Ding

Wei Ding

Other publications of authors with the same name

ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection.Z. Chen, J. Zhang, R. Ding, and D. Marculescu. CoRR, (2019)Regularizing Activation Distribution for Training Binarized Deep Networks.R. Ding, T. Chin, Z. Liu, and D. Marculescu. CVPR, page 11408-11417. Computer Vision Foundation / IEEE, (2019)AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling.T. Chin, R. Ding, and D. Marculescu. MLSys, mlsys.org, (2019)QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration.A. Inci, S. Virupaksha, A. Jain, T. Chin, V. Thallam, R. Ding, and D. Marculescu. CoRR, (2022)IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design.Q. Huang, C. Fang, Z. Liu, R. Ding, and R. Blanton. ICCD, page 11-19. IEEE, (2019)Towards Efficient Model Compression via Learned Global Ranking.T. Chin, R. Ding, C. Zhang, and D. Marculescu. CVPR, page 1515-1525. Computer Vision Foundation / IEEE, (2020)LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.R. Ding, Z. Liu, R. Shi, D. Marculescu, and R. Blanton. CoRR, (2018)QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators.A. Inci, S. Virupaksha, A. Jain, V. Thallam, R. Ding, and D. Marculescu. CoRR, (2022)Efficient Test Chip Design via Smart Computation.C. Fang, Q. Huang, Z. Liu, R. Ding, and R. Blanton. ACM Trans. Design Autom. Electr. Syst., 28 (2): 22:1-22:31 (March 2023)LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.R. Ding, Z. Liu, R. Shi, D. Marculescu, and R. Blanton. ACM Great Lakes Symposium on VLSI, page 35-40. ACM, (2017)

BibSonomy

Disambiguation of "Ding, Ruizhou"

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

LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Reinhard Ding

Shizhao Ding

Wei Ding

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ding, Ruizhou"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Reinhard Ding

Shizhao Ding

Wei Ding

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

LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.