王上飞

电 话：0551-63602824

Email：sfwang@ustc.edu.cn

个人主页：http://202.38.64.11/~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，IEEE和CCF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TPAMI、TIP、TKDE、TMM、TAC、TCYB和国际学术会议CVPR、ICCV、ACMMM、AAAI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 TAC和ACM 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：

2014 ACM Nanjing Rising Star Nomination Award 

2014 王宽城二等奖

2013 PG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

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

[02] 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.

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

[04] 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.

[05] 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.

[06] 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

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

[08] 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)

[09] Shangfei Wang，Shan Wu，Guozhu Peng，Qiang 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, AAAI2017，4039-4045.

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