128 citations · 252 across the 28 of their papers we have counts for
8 papers · 1 filter
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…
Dynamic Sparse Graph for Efficient Deep Learning
Liu Liu, Lei Deng, Xing Hu +4
We propose to execute deep neural networks (DNNs) with dynamic and sparse graph (DSG) structure for compressive memory and accelerative execution during both training and inference…
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…
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…
In-memory multiplication engine with SOT-MRAM based stochastic computing
Xin Ma, Liang Chang, Shuangchen Li +3
Processing-in-memory (PIM) turns out to be a promising solution to breakthrough the memory wall and the power wall. While prior PIM designs yield successful implementation of bitwi…
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…