4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.PF2021
Pinpointing the Memory Behaviors of DNN Training
Jiansong Li, Xiao Dong, Guangli Li +9
The training of deep neural networks (DNNs) is usually memory-hungry due to the limited device memory capacity of DNN accelerators. Characterizing the memory behaviors of DNN train…
cs.CV2019★ 2 cited
Background subtraction on depth videos with convolutional neural networks
Xueying Wang, Lei Liu, Guangli Li +3
Background subtraction is a significant component of computer vision systems. It is widely used in video surveillance, object tracking, anomaly detection, etc. A new data source fo…
cs.DC2018★ 4 cited
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Guangli Li, Lei Liu, Xueying Wang +3
Recently, deep neural networks (DNNs) have been widely applied in mobile intelligent applications. The inference for the DNNs is usually performed in the cloud. However, it leads t…