12 citations · 16 across the 4 of their papers we have counts for
4 papers
Cross-Layer Retrospective Retrieving via Layer Attention
Yanwen Fang, Yuxi Cai, Jintai Chen +3
More and more evidence has shown that strengthening layer interactions can enhance the representation power of a deep neural network, while self-attention excels at learning interd…
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Jingyu Zhao, Yanwen Fang, Guodong Li
This paper introduces a concept of layer aggregation to describe how information from previous layers can be reused to better extract features at the current layer. While DenseNet…
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui +5
In this work, we propose a new segmentation network by integrating DenseUNet and bidirectional LSTM together with attention mechanism, termed as DA-BDense-UNet. DenseUNet allows le…
CNN-based Realized Covariance Matrix Forecasting
Yanwen Fang, Philip L. H. Yu, Yaohua Tang
It is well known that modeling and forecasting realized covariance matrices of asset returns play a crucial role in the field of finance. The availability of high frequency intrada…