5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.DC2023★ 5 cited
OSP: Boosting Distributed Model Training with 2-stage Synchronization
Zixuan Chen, Lei Shi, Xuandong Liu +3
Distributed deep learning (DDL) is a promising research area, which aims to increase the efficiency of training deep learning tasks with large size of datasets and models. As the c…
eess.IV2023★ 1 cited
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation
Lei Shi, Tianyu Gao, Zheng Zhang +1
Automated medical image segmentation can assist doctors to diagnose faster and more accurate. Deep learning based models for medical image segmentation have made great progress in…
eess.IV2021
A Multi-stage Transfer Learning Framework for Diabetic Retinopathy Grading on Small Data
Lei Shi, Bin Wang, Junxing Zhang
Diabetic retinopathy (DR) is one of the major blindness-causing diseases currently known. Automatic grading of DR using deep learning methods not only speeds up the diagnosis of th…