2 citations · 2 across the 1 of their papers we have counts for
4 papers
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
Boyuan Feng, Yuke Wang, Xu Li +3
With the increasing popularity of graph-based learning, Graph Neural Networks (GNNs) win lots of attention from the research and industry field because of their high accuracy. Howe…
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…
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds
Lingwei Xie, Song He, Shu Yang +5
With the rapid development of high-throughput technologies, parallel acquisition of large-scale drug-informatics data provides huge opportunities to improve pharmaceutical research…
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…