no code implementations • 19 Dec 2023 • Qiyao Peng, Hongtao Liu, Hongyan Xu, Yinghui Wang, Wenjun Wang
For alleviating this, we present a personalized pre-training and fine-tuning paradigm, which could effectively learn expert interest and expertise simultaneously.
no code implementations • 5 Jul 2022 • Hongyan Xu, Xiu Su, Dadong Wang
Deep learning technology can be used as an assistive technology to help doctors quickly and accurately identify COVID-19 infections.
no code implementations • 4 Jul 2022 • Hongyan Xu, Dadong Wang, Arcot Sowmya
However, in CT and CXR images, the infected area occupies only a small part of the image.
no code implementations • 28 Oct 2020 • Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu
To deploy a well-trained CNN model on low-end computation edge devices, it is usually supposed to compress or prune the model under certain computation budget (e. g., FLOPs).
no code implementations • 29 May 2019 • Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
In this paper, we propose a hierarchical attention model fusing latent factor model for rating prediction with reviews, which can focus on important words and informative reviews.