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CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.

C. Ding, S. Liao, Y. Wang, Z. Li, N. Liu, Y. Zhuo, C. Wang, X. Qian, Y. Bai, G. Yuan, X. Ma, Y. Zhang, J. Tang, Q. Qiu, X. Lin, and B. Yuan. MICRO, page 395-408. ACM, (2017)

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Ding Ding

Reinhard Ding

Huawen Ding

Wei Ding

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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)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)Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference.B. Lu, C. Ding, J. Bi, and D. Song. CoRR, (2024)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)Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.S. Islam, J. Deng, S. Zhou, C. Pan, C. Ding, and M. Xie. DATE, page 921-926. IEEE, (2022)REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs.C. Ding, S. Wang, N. Liu, K. Xu, Y. Wang, and Y. Liang. FPGA, page 33-42. ACM, (2019)A Secure and Efficient Federated Learning Framework for NLP.C. Wang, J. Deng, X. Meng, Y. Wang, J. Li, S. Lin, S. Han, F. Miao, S. Rajasekaran, and C. Ding. EMNLP (1), page 7676-7682. Association for Computational Linguistics, (2021)

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Disambiguation of "Ding, Caiwen"

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CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Reinhard Ding

Huawen Ding

Wei 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 CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Reinhard Ding

Huawen Ding

Wei Ding

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.