activity
20192021
most citedNPE: An FPGA-based Overlay Processor for Natural Language Processing

78 citations · 101 across the 14 of their papers we have counts for

collaborators

14 papers

cs.LG2021★ 1 cited

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…

cs.AR2021

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…

cs.CV2021

X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph

Yuan Liang, Weinan Song, Jiawei Yang +3

3D teeth reconstruction from X-ray is important for dental diagnosis and many clinical operations. However, no existing work has explored the reconstruction of teeth for a whole ca…

cs.AR2021★ 78 cited

NPE: An FPGA-based Overlay Processor for Natural Language Processing

Hamza Khan, Asma Khan, Zainab Khan +3

In recent years, transformer-based models have shown state-of-the-art results for Natural Language Processing (NLP). In particular, the introduction of the BERT language model brou…

cs.CV2021

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…

cs.HC2020★ 2 cited

OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray

Yuan Liang, Liang Qiu, Tiancheng Lu +8

Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear and anxiety. Due to the gap of expertise between patients and den…