Yuhong Li
Yuhong Li
Adresse e-mail validée de illinois.edu
Citée par
Citée par
Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes
Y Li, X Zhang, D Chen
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Fpga/dnn co-design: An efficient design methodology for 1ot intelligence on the edge
C Hao, X Zhang, Y Li, S Huang, J Xiong, K Rupnow, W Hwu, D Chen
2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
SkyNet: a hardware-efficient method for object detection and tracking on embedded systems
X Zhang, H Lu, C Hao, J Li, B Cheng, Y Li, K Rupnow, J Xiong, T Huang, ...
arXiv preprint arXiv:1909.09709, 2019
SiamVGG: Visual tracking using deeper siamese networks
Y Li, X Zhang
arXiv preprint arXiv:1902.02804, 2019
Skynet: A champion model for dac-sdc on low power object detection
X Zhang, C Hao, H Lu, J Li, Y Li, Y Fan, K Rupnow, J Xiong, T Huang, ...
arXiv preprint arXiv:1906.10327, 2019
Edd: Efficient differentiable dnn architecture and implementation co-search for embedded ai solutions
Y Li, C Hao, X Zhang, X Liu, Y Chen, J Xiong, W Hwu, D Chen
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
A hybrid GPU+ FPGA system design for autonomous driving cars
C Hao, A Sarwari, Z Jin, H Abu-Haimed, D Sew, Y Li, X Liu, B Wu, D Fu, ...
2019 IEEE International Workshop on Signal Processing Systems (SiPS), 121-126, 2019
A bi-directional co-design approach to enable deep learning on IoT devices
X Zhang, C Hao, Y Li, Y Chen, J Xiong, W Hwu, D Chen
arXiv preprint arXiv:1905.08369, 2019
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
C Hao, Y Chen, X Zhang, Y Li, J Xiong, W Hwu, D Chen
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 283-290, 2020
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search Space
Y Li
https://openreview.net/pdf?id=qk0FE399OJ, 0
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