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默莎莎
2023-05-06 10:11
  • 默莎莎
  • 默莎莎 - 讲师-北京航空航天大学-网络空间安全学院-个人资料

近期热点

资料介绍

个人简历


学习经历\r
2006/09-2010/07 北京交通大学工学学士 \r
2010/09-2015/02 中国科学院电子学研究所工学博士 \r
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工作经历\r
2018/10-至今北京航空航天大学网络空间安全学院讲师 \r
2015/07-2018/10 北京航空航天大学计算机学院博士后

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"

近期论文


Yuntao Qu, Shasha Mo*, Jianwei Niu. DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions. Internaltinal Conference on Computer Vision and Pattern Recogintion(CVPR), 2021(CCF A).\r
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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.\r
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Shasha Mo, Jianwei Niu, Yiming Su, Sajal K Das. A Novel Feature Set for Video Emotion Recognition. Neurocomputing,. 052.\r
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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.\r
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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.\r
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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.\r
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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.\r
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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.\r
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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.

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