科 系：|人工智能系|

学历职称：讲师

导 师：硕士研究生导师

研究方向：自然语言理解、计算机视觉、机器学习

联系方式：995107@hainanu.edu.cn

基本情况：籍贯湖北，工学博士，华中科技大学，讲师

通讯地址：海南大学永利总站ylzz55211

学习和工作经历：

2021年3月至今，海南大学永利总站ylzz55，讲师

2015年8月至2016年8月, 加拿大滑铁卢大学, 计算机学院,联合培养博士研究生

主持或参与科研项目：

主持海南省自然科学基金面上项目1项，海南大学引进人才科研启动项目1项；作为主研人员参加国家自然科学基金2项。

学术成果（可包含论文、专利、著作等）：

1. Chunyi Yue†, Hanqiang Cao*, Kun Xiong, Anqi Cui. et al. Enhanced question understanding with dynamic memory networks for textual question answering. Expert Systems with Applications, 2017.03. (SCI检索， IF 5.452)

2. Chunyi Yue†, Hanqiang Cao*, Guoping Xu, Youli Dong. Collaborative attention model for multi-domain sentiment classification. Applied intelligence. Major revision. (SCI检索，IF 3.325)

3. Hanqiang Cao†*， Youli Dong†， Xiaojun Ding, Guoping Xu, Chunyi Yue. A Multi-task Learning Method for Classification of Multiple Power Quality Disturbances. IET Generation, Transmission & Distribution. 2020.01.（SCI检索，IF 3.229）

4. Chunyi Yue†, Hanqiang Cao*, Guoping Xu, Youli Dong. Attention model with multi-layer supervision for text classification. The 5th International Conference on Mathematics and Artificial Intelligence, 202004. (EI检索)

5. Guoping Xu†, Hanqiang Cao*, Youli Dong, Chunyi Yue. A novel exponential loss function for pathological lymph node image classification. The 11st international symposium on multispectral image processing and pattern recognition. 2019.11（EI检索）

6. Youli Dong†, Hanqiang Cao*, Guoping Xu, Chunyi Yue, Xiaojun Ding. A Novel method for Multiple Power Quality Disturbances Classification Based on Multi-Task Learning. The 4th International Conference on Power and Renewable Energy, 2019.09. (EI检索)

7. Guoping Xu†, Hanqiang Cao*, Youli Dong, Chunyi Yue. Focal Loss Function based DeepLabv3+ for Pathological Lymph Node Segmentation on PET/CT. The 2nd International Conference on Intelligent Medicine and Image Processing. 2020.04. (EI检索)

8. Guoping Xu, Hanqiang Cao*, Youli Dong, Chunyi Yue. Focal Loss Function based DeepLabv3+ for Pathological Lymph Node Segmentation on PET/CT. The 2nd International Conference on Intelligent Medicine and Image Processing. 2020.07 (EI检索)