554 citations · 605 across the 20 of their papers we have counts for
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A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
Wenbiao Li, Ziyang Wang, Yunfang Wu
For readability assessment, traditional methods mainly employ machine learning classifiers with hundreds of linguistic features. Although the deep learning model has become the pro…
Focus-Driven Contrastive Learniang for Medical Question Summarization
Ming Zhang, Shuai Dou, Ziyang Wang +1
Automatic medical question summarization can significantly help the system to understand consumer health questions and retrieve correct answers. The Seq2Seq model based on maximum…
Triple-View Feature Learning for Medical Image Segmentation
Ziyang Wang, Irina Voiculescu
Deep learning models, e.g. supervised Encoder-Decoder style networks, exhibit promising performance in medical image segmentation, but come with a high labelling cost. We propose T…
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
Ziyang Wang, Tianze Li, Jian-Qing Zheng +1
Due to the lack of quality annotation in medical imaging community, semi-supervised learning methods are highly valued in image semantic segmentation tasks. In this paper, an advan…
Recursive Deformable Image Registration Network with Mutual Attention
Jian-Qing Zheng, Ziyang Wang, Baoru Huang +3
Deformable image registration, estimating the spatial transformation between different images, is an important task in medical imaging. Many previous studies have used learning-bas…