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    人工智能系
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    岳春漪
    2022年11月16日 22:08

系:|人工智能|

学历职称:讲师

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:海南大学信息与通信工程学院211

 

学习和工作经历:

20213月至今海南大学信息与通信工程学院,讲师

20158月至20168, 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. 2019.11EI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)