24 citations · 30 across the 4 of their papers we have counts for
4 papers
Few-Shot Domain Adaptation with Polymorphic Transformers
Shaohua Li, Xiuchao Sui, Jie Fu +7
Deep neural networks (DNNs) trained on one set of medical images often experience severe performance drop on unseen test images, due to various domain discrepancy between the train…
Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Shaohua Li, Xiuchao Sui, Xiangde Luo +3
Medical image segmentation is important for computer-aided diagnosis. Good segmentation demands the model to see the big picture and fine details simultaneously, i.e., to learn ima…
Learning to Reconstruct Crack Profiles for Eddy Current Nondestructive Testing
Shaohua Li, Ayesha Anees, Yu Zhong +4
Eddy current testing (ECT) is one of the most popular Nondestructive Testing (NDT) techniques, especially for conductive materials. Reconstructing the crack profile from measured E…
Enhanced Attacks on Defensively Distilled Deep Neural Networks
Yujia Liu, Weiming Zhang, Shaohua Li +1
Deep neural networks (DNNs) have achieved tremendous success in many tasks of machine learning, such as the image classification. Unfortunately, researchers have shown that DNNs ar…