no code implementations • Findings (EMNLP) 2021 • Jia Chen, Yike Wu, Shiwan Zhao, Qin Jin
Our analysis of caption models with SC loss shows that the performance degradation is caused by the increasingly noisy estimation of reward and baseline with fewer language resources.
no code implementations • ECCV 2020 • Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi
To this end, based on a given CNN model, we first generate a CNN architecture space in which each architecture is a multi-stage CNN generated from the given model using some predefined transformations.
no code implementations • EMNLP 2021 • Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su
A mind-map is a diagram that represents the central concept and key ideas in a hierarchical way.
no code implementations • ACL 2021 • Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su
Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence.
no code implementations • 24 Jul 2020 • Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.
no code implementations • 16 Nov 2019 • Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun
Recently, dynamic inference has emerged as a promising way to reduce the computational cost of deep convolutional neural network (CNN).
no code implementations • 5 Oct 2019 • Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan YAO, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
Based on this framework, we demonstrate that SGLD can prevent the information leakage of the training dataset to a certain extent.
no code implementations • CONLL 2019 • Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su
The attention is expected to concentrate on opinion words for accurate sentiment prediction.
no code implementations • IJCNLP 2019 • Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su
Cross-domain sentiment classification has drawn much attention in recent years.
no code implementations • NeurIPS 2019 • Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
In this paper, we aim to understand the generalization properties of generative adversarial networks (GANs) from a new perspective of privacy protection.
no code implementations • 21 Aug 2019 • Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su
Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years.
no code implementations • CVPR 2019 • Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu
(2) privacy leakage: the model trained using a conventional method may involuntarily reveal the private information of the patients in the training dataset.
no code implementations • IJCNLP 2019 • Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen
Aspect level sentiment classification is a fine-grained sentiment analysis task.
no code implementations • 17 Oct 2018 • Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention.
no code implementations • 7 Sep 2018 • Xiaolu Zhang, Shiwan Zhao, Lingxi Xie
This paper considers WCE-based gastric ulcer detection, in which the major challenge is to detect the lesions in a local region.
no code implementations • 30 Jun 2018 • Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun
Given an input image from a specified stain, several generators are first applied to estimate its appearances in other staining methods, and a classifier follows to combine visual cues from different stains for prediction (whether it is pathological, or which type of pathology it has).