26 citations · 33 across the 6 of their papers we have counts for
6 papers
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction
Yingxue Xu, Hao Chen
Survival prediction is a complicated ordinal regression task that aims to predict the ranking risk of death, which generally benefits from the integration of histology and genomic…
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation
Yingxue Xu, Guihua Wen, Yang Hu +1
Unsupervised domain adaptation (UDA) aims to estimate a transferable model for unlabeled target domains by exploiting labeled source data. Optimal Transport (OT) based methods have…
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition
Yang Hu, Guihua Wen, Adriane Chapman +5
Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling…
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
Yingxue Xu, Guihua Wen, Yang Hu +4
Chinese herbs play a critical role in Traditional Chinese Medicine. Due to different recognition granularity, they can be recognized accurately only by professionals with much expe…
Stochastic Region Pooling: Make Attention More Expressive
Mingnan Luo, Guihua Wen, Yang Hu +2
Global Average Pooling (GAP) is used by default on the channel-wise attention mechanism to extract channel descriptors. However, the simple global aggregation method of GAP is easy…
Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features
Yingxue Xu, Guihua Wen, Yang Hu +3
Convolution neural netwotks (CNNs) are successfully applied in image recognition task. In this study, we explore the approach of automatic herbal recognition with CNNs and build th…