1 code implementation • 29 Jun 2023 • Hanqiu Chen, Hang Yang, Stephen Fitzmeyer, Cong Hao
This paper introduces Rapid-INR, a novel approach that utilizes INR for encoding and compressing images, thereby accelerating neural network training in computer vision tasks.
1 code implementation • 13 Apr 2023 • Hanqiu Chen, Cong Hao
The experiment results demonstrate that DGNN-Booster can achieve a speedup of up to 5. 6x compared to the CPU baseline (6226R), 8. 4x compared to the GPU baseline (A6000) and 2. 1x compared to the FPGA baseline without applying optimizations proposed in this paper.
no code implementations • 8 Oct 2022 • Hanqiu Chen, Yahya Alhinai, Yihan Jiang, Eunjee Na, Cong Hao
A variety of dynamic graph neural networks designed from algorithmic perspectives have succeeded in incorporating temporal information into graph processing.