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20182022
most citedGNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs

16 citations · 54 across the 20 of their papers we have counts for

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2021

On Adversarial Robustness of Point Cloud Semantic Segmentation

Jiacen Xu, Zhe Zhou, Boyuan Feng +2

Recent research efforts on 3D point cloud semantic segmentation (PCSS) have achieved outstanding performance by adopting neural networks. However, the robustness of these complex m…

cs.CV2020★ 1 cited

An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks

Yuke Wang, Boyuan Feng, Xueqiao Peng +1

With the increasing popularity of deep learning, Convolutional Neural Networks (CNNs) have been widely applied in various domains, such as image classification and object detection…

cs.CV2018

Penetrating the Fog: the Path to Efficient CNN Models

Kun Wan, Boyuan Feng, Shu Yang +1

With the increasing demand to deploy convolutional neural networks (CNNs) on mobile platforms, the sparse kernel approach was proposed, which could save more parameters than the st…

cs.CV2018

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout

Kun Wan, Boyuan Feng, Lingwei Xie +1

Recently convolutional neural networks (CNNs) achieve great accuracy in visual recognition tasks. DenseNet becomes one of the most popular CNN models due to its effectiveness in fe…

cs.CV2018★ 3 cited

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy

Boyuan Feng, Kun Wan, Shu Yang +1

Despite that accelerating convolutional neural network (CNN) receives an increasing research focus, the save on resource consumption always comes with a decrease in accuracy. To bo…