29 citations · 47 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 16 cited
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
Wei Dai, Rui Liu, Zixuan Wu +5
Early detection and accurate diagnosis can predict the risk of malignant disease transformation, thereby increasing the probability of effective treatment. Identifying mild syndrom…
eess.IV2022★ 29 cited
Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attention
Wei Dai, Rui Liu, Tianyi Wu +3
Accurate and unbiased examinations of skin lesions are critical for the early diagnosis and treatment of skin diseases. Visual features of skin lesions vary significantly because t…
cs.LG2020★ 2 cited
Adam with Bandit Sampling for Deep Learning
Rui Liu, Tianyi Wu, Barzan Mozafari
Adam is a widely used optimization method for training deep learning models. It computes individual adaptive learning rates for different parameters. In this paper, we propose a ge…