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默莎莎

作者:       发布: 2019-06-16      来源:

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默莎莎  Shasha Mo

 

讲师

     

博士

     

 

新主楼G1038

     

网络空间安全学院

     

电子信箱

moshasha@buaa.edu.cn

     

个人主页

u  学习经历

§  2006/09-2010/07  北京交通大学工学学士 

§  2010/09-2015/02  中国科学院电子学研究所工学博士 

u  工作经历

§  2018/10-至今北京航空航天大学网络空间安全学院讲师 

§  2015/07-2018/10  北京航空航天大学计算机学院博士后 

u  研究领域

大数据分析与人工智能、深度学习、视频情感计算、舆情分析

u  荣誉及奖励

u  开授课程

人工智能及应用、自然语言处理、机器学习

u  教学及科研成果

在人工智能、数据挖掘、深度学习等领域从事研究多年,主持和参与的科研项目有:国家自然科学基金、家863计划重大项目等。已在IEEE Transactions on  affective computing等多各期刊上发表10余篇学术论文,近年发表的主要学术论文如下:

[1]Shasha Mo, Jianwei Niu. A Novel Method  based on OMPGW Method for Feature Extraction in Automatic Music Mood  Classification. IEEE Transactions on Affective Computing, June 28, 2017.

[2]Shasha Mo, Jianwei Niu, Yiming Su,  Sajal K Das. A Novel Feature Set for Video Emotion Recognition.  Neurocomputing,https://doi.org/10.1016/j.neucom.2018.02. 052.

[3]Shasha Mo, Jianwei Niu and Yanfei  Wang. A Novel Approach Based on the Instrumental Variable Method with  Application to Airborne Synthetic Aperture Radar Imagery, IEEE Journal of  Selected Topics in Applied Earth Observations and Remote Sensing, 2018,  11(9): 3144-3154.

[4]Shasha Mo, Yanfei Wang and Chang Liu.  An Estimation Algorithm for Phase Errors in Synthetic Aperture Radar Imagery,  IEEE Geoscience & Remote Sensing Letters, 2015, 12(9):1818-1822.

[5]Jianwei  Niu, Yanyan Guo andShasha Mo.  A Novel Method of Articles Rating Based on Concerns Tracking and Matching for  Public Opinion Recommendation. IEEE International Conference on  Communications 20-24 May 2018 Kansas City, MO, USA.

[6]Jianwei  Niu, Shijie Li,Shasha Mo,  and Lei Wang. Affective Analysis For Video Frames Using ConvLSTM Network.  IEEE International Conference on Communications 20-24 May 2018 Kansas City,  MO, USA.

[7]Jianwei  Niu, Shijie Li,Shasha Mo,  Jun Ma. LWTP: An Improved Automatic Image Annotation Method Based on Image  Segmentation. COLLABORATECOM 2017, Edinburgh, Britain, December 11, 2017.

[8]Jianwei Niu, Mingsheng Sun,Shasha Mo. Sentiment Analysis of Chinese Words Using Word  Embedding and Sentiment Morpheme Matching. COLLABORATECOM 2017, Edinburgh,  Britain, December 11, 2017.

 

u  学术与社会服务

u  科研项目