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Ruizhou Ding
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Publications
- 2023
- [j3]Chenlei Fang, Qicheng Huang, Zeye Liu, Ruizhou Ding, Ronald D. Blanton:
Efficient Test Chip Design via Smart Computation. ACM Trans. Design Autom. Electr. Syst. 28(2): 22:1-22:31 (2023) - 2019
- [c11]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR 2019: 11408-11417 - [c10]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC 2019: 200 - [c9]Qicheng Huang, Chenlei Fang, Zeye Liu, Ruizhou Ding, R. D. Shawn Blanton:
IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design. ICCD 2019: 11-19 - [i8]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR abs/1904.02823 (2019) - [i7]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR abs/1904.02835 (2019) - 2018
- [j1]Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu:
Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs. ACM Trans. Reconfigurable Technol. Syst. 11(3): 17:1-17:24 (2018) - [c6]Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu:
Quantized deep neural networks for energy efficient hardware-based inference. ASP-DAC 2018: 1-8 - [i1]Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton:
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. CoRR abs/1802.02178 (2018) - 2017
- [c2]Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton:
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. ACM Great Lakes Symposium on VLSI 2017: 35-40
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