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北京航空航天大学网络空间安全学院导师教师师资介绍简介-默莎莎

本站小编 Free考研考试/2020-04-24


默莎莎 Shasha Mo

职 称
讲师
学 历
博士

电 话
办公室
新主楼G1038

系 别
网络空间安全学院
职 务

电子信箱
moshasha@buaa.edu.cn
传 真

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



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