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王上飞


电 话: 0551-63602824

E- Mailsfwang@ustc.edu.cn

个人主页:http://staff.ustc.edu.cn/~sfwang/ 


主要研究方向模式识别、情感计算、计算机视觉、多媒体技术

王上飞博士,教授,IEEECCF高级会员,CCF人工智能与模式识别专委、多媒体技术专委和计算机视觉专委委员,CAAI人工心理与人工情感专委委员。2002年获中国科学技术大学信号与信息处理专业博士学位。2004年和2011年分别赴日本九州大学和美国伦斯勒理工学院交流访问。作为负责人,承担了国家自然科学基金委、国家科技部、教育部留学基金委、安徽省科技厅等支持的项目近二十项。在国内外重要学术期刊TPAMITIPTKDETMMTACTCYB和国际学术会议CVPRICCVACMMMAAAI等发表学术论文90余篇。发表的论文成为IEEETran热点论文百余次2019年起,担任IEEE TACACM TOMM副主编。指导的研究生获得GOOGLE女性科学家奖、GOOGLE奖学金、中科院院长奖、国家奖学金和优秀毕业生等多个奖项。

获奖情况

12014 ACM Nanjing Rising Star Nomination Award 

22014王宽城二等奖

3. 2013 FG优秀论文

主要论著

GOOGLE SCHOLAR https://scholar.google.com/citations?user=PmDOUfQAAAAJ&hl=zh-CN

DBLP http://dblp.uni-trier.de/pers/hd/w/Wang:Shangfei


  1. Shangfei Wang, Longfei Hao, Qiang Ji: Knowledge-Augmented Multimodal Deep Regression Bayesian Networks for Emotion Video Tagging, IEEE Trans. on Multimedia, 2019.

  2. Shangfei Wang, Guozhu Peng, Zhuangqiang Zheng: Capturing Joint Label Distribution for Multi-Label Classification through Adversarial Learning, IEEE Trans. on Knowledge and Data Engineering, 2019.

  3. Shangfei Wang, Guozhu Peng: Weakly Supervised Dual Learning for Facial Action Unit Recognition, IEEE Trans. on Multimedia, 2019.

  4. Shangfei Wang, Bowen Pan, Shan Wu, Qiang Ji: Deep Facial Action Unit Recognition and Intensity Estimation from Partially Labelled Data, IEEE Trans. on Affective Computing, 2019.

  5. Shangfei Wang, Can Wang, Tanfang Chen, Yaxin Wang, Yangyang Shu, Qiang Ji: Affective Video Content Analysis by Exploiting Domain Knowledge, IEEE Trans. on Affective Computing, 2019.

  6. Shangfei Wang, Zhuangqiang Zheng, Shi Yin, Jiajia Yang, Qiang Ji: A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis, IEEE Trans. on Patten Analysis and Machine Learning, 2019

  7. Shangfei Wang, Guozhu Peng, Zhuangqiang Zhen, Zhiwei Xu: Capturing Emotion Distribution for Multimedia Emotion Tagging. IEEE Trans. on Affective Computing, 2019.

  8. Shangfei Wang, Longfei Hao, Qiang Ji: Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies. IEEE Trans. on Image Processing, 28 (3): 1428 – 1442 (2019)

  9. Shangfei WangShan WuGuozhu PengQiang Ji. Capturing Feature and Label Relations Simultaneously for Multiple Facial Action Unit Recognition, IEEE Trans. on Affective Computing, 10(3): 348-359 (2019)

  10. Shangfei Wang, Shiyu Chen, Qiang Ji. Content-based Video Emotion Tagging Augmented by Users' Multiple Physiological Responses. IEEE Trans. on Affective Computing, 10(2): 155-166 (2019)

  11. Bowen Pan, Shangfei Wang, Bin Xia, Occluded Facial Expression Recognition Enhanced through Privileged Information, ACMMM2019

  12. Can Wang, Shangfei Wang, Guang Liang, Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning, ACMMM2019

  13. Shi Yin, Shangfei Wang, Xiaoping Chen, Capture Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning, IJCAI2019, 1010-1017

  14. Guozhu Peng, Shangfei Wang, Dual Semi-Supervised Learning for Facial Action Unit Recognition, AAAI2019, 8827-8834

  15. Bowen Pan, Shangfei Wang, Qisheng Jiang, Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning, AAAI2019, 679-686

  16. Shangfei Wang, Bowen Pan, Huaping Chen, Qiang Ji: Thermal Augmented Expression Recognition. IEEE Trans. on Cybernetics, 48(7): 2203-2214 (2018)

  17. Shangfei Wang, Guozhu Peng, Shiyu Chen, Qiang Ji: Weakly Supervised Facial Action Unit Recognition With Domain Knowledge. IEEE Trans. on Cybernetics, 48(11): 3265-3276 (2018)

  18.  Guozhu Peng, Shangfei Wang, Weakly Supervised Facial Action Unit Recognition through Adversarial Training, CVPR2018, 2188-2194.

  19. Bowen Pan, Shangfei Wang: Facial Expression Recognition Enhanced by Thermal Images through Adversarial Learning. ACMMM 2018: 1346-1353.

  20. Can Wang, Shangfei Wang: Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network. ACMMM 2018: 302-310

  21. Shangfei Wang, Guozhu Peng, Qiang Ji. Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition, IEEE Trans. on Affective Computing, 2017.

  22.  Quan Gan, Shangfei Wang, Longfei Hao, Tanfang Chen and Qiang Ji, Multimodal Deep Regression Bayesian Networks for Affective Video Content Analyses, ICCV2017, 5123-5132. 

  23.  Shan Wu, Shangfei Wang, Bowen Pan and Qiang Ji, Deep Facial Action Unit Recognition from Partially Labeled Data, ICCV2017, 3971-3979. 

  24.  Tanfang Chen, Yaxin Wang, Shangfei Wang, Shiyu Chen. Exploring Domain Knowledge for Affective Video Content Analyses. ACMMM2017, 769-776. 

  25.  Jiajia Yang, Shangfei Wang, Capturing Spatial and Temporal Patterns for Distinguishing between Posed and Spontaneous Expression, ACMMM2017, 469-477. 

  26. Quan Gan, Siqi Nie, Shangfei Wang and Qiang Ji. Differentiating between posed and spontaneous expressions with Latent Regression Bayesian Network, AAAI20174039-4045.

  27. Shan Wu, Shangfei Wang and Qiang Ji. Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data, AAAI2017, 1026-1033.








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