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Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.

Y. Wang, C. Ding, Z. Li, G. Yuan, S. Liao, X. Ma, B. Yuan, X. Qian, J. Tang, Q. Qiu, and X. Lin. AAAI, page 4235-4243. AAAI Press, (2018)

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Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

Other publications of authors with the same name

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs.Z. Li, C. Ding, S. Wang, W. Wen, Y. Zhuo, C. Liu, Q. Qiu, W. Xu, X. Lin, X. Qian and 1 other author(s). CoRR, (2018)Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations.J. Kim, D. Baek, C. Ding, S. Lin, D. Shin, X. Lin, Y. Wang, Y. Cho, S. Park, and N. Chang. IEEE Trans. Very Large Scale Integr. Syst., 26 (7): 1241-1253 (2018)DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation.S. Tang, Y. Wang, C. Ding, Y. Liang, Y. Li, and D. Xu. CoRR, (2023)Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models.L. Zhang, X. Liu, K. Mahmood, C. Ding, and H. Guan. CoRR, (2023)Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference.B. Lu, C. Ding, J. Bi, and D. Song. CoRR, (2024)Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++.B. Lei, C. Ding, L. Chen, P. Lin, and C. Liao. CoRR, (2023)AutoReP: Automatic ReLU Replacement for Fast Private Network Inference.H. Peng, S. Huang, T. Zhou, Y. Luo, C. Wang, Z. Wang, J. Zhao, X. Xie, A. Li, T. Geng and 4 other author(s). ICCV, page 5155-5165. IEEE, (2023)An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving.S. Zhou, M. Xie, Y. Jin, F. Miao, and C. Ding. ISQED, page 122-128. IEEE, (2021)Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning.H. Peng, S. Huang, T. Geng, A. Li, W. Jiang, H. Liu, S. Wang, and C. Ding. ISQED, page 142-148. IEEE, (2021)Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.Y. Wang, C. Ding, Z. Li, G. Yuan, S. Liao, X. Ma, B. Yuan, X. Qian, J. Tang, Q. Qiu and 1 other author(s). AAAI, page 4235-4243. AAAI Press, (2018)

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Disambiguation of "Ding, Caiwen"

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Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ding, Caiwen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Huawen Ding

Wei Ding

Reinhard 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

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.