7 citations · 27 across the 14 of their papers we have counts for
4 papers · 1 filter
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
Zhuofu Tao, Chen Wu, Yuan Liang +1
Graph convolutional networks (GCNs) have been introduced to effectively process non-euclidean graph data. However, GCNs incur large amounts of irregularity in computation and memor…
Heterogeneous Dual-Core Overlay Processor for Light-Weight CNNs
Tiandong Zhao, Yunxuan Yu, Kun Wang +1
Light-weight convolutional neural networks (CNNs) have small complexity and are good candidates for low-power, high-throughput inference. Such networks are heterogeneous in terms o…
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
Jiawei Yang, Yao Zhang, Yuan Liang +3
Deep learning models are notoriously data-hungry. Thus, there is an urging need for data-efficient techniques in medical image analysis, where well-annotated data are costly and ti…
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Yuan Liang, Weinan Song, Jiawei Yang +3
Convolutional networks (ConvNets) have achieved promising accuracy for various anatomical segmentation tasks. Despite the success, these methods can be sensitive to data appearance…