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

系:|人工智能|

學曆職稱:講師

師:碩士研究生導師

研究方向:自然語言理解、計算機視覺、機器學習

聯系方式:995107@hainanu.edu.cn

基本情況籍貫湖北,工學博士,華中科技大學,講師

通訊地址:365英国上市官网在线211

 

學習和工作經曆:

20213月至今365英国上市官网在线,講師

20158月至20168, 加拿大滑鐵盧大學, 計算機學院,聯合培養博士研究生

 

主持或參與科研項目:

主持海南省自然科學基金面上項目1項,365英国上市官网在线引進人才科研啟動項目1項;作為主研人員參加國家自然科學基金2項。


學術成果(可包含論文、專利、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檢索, 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檢索,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檢索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檢索)

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檢索

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檢索)

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檢索)

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檢索)