职称/职务

教授

出生年月

1974.3

最高学历

博士

固定电话

0551-63602824

工作单位

计算机科学与技术学院

联系地址

安徽省合肥市金寨路96号 中国科学技术大学

邮箱

sfwang@ustc.edu.cn

教育背景

（1）1999-9至2002-7, 中国科学技术大学, 信号与系统, 博士

（2）1996-9至1999-7, 中国科学技术大学, 电路与系统, 硕士

（3）1992-9至1996-7, 安徽大学, 无线电技术, 学士

研究方向

情感计算、模式识别、计算机视觉、多媒体技术

任职经历

（1）2018-7至现在, 中国科学技术大学, 计算机科学技术学院, 教授

（2）2011-8至2013-7, 伦斯勒理工学院, 电子计算机和系统工程系, 访问学者

（3）2005-12至2018-6, 中国科学技术大学, 计算机科学技术学院, 副教授

（4）2004-7至2005-8, 九州大学, 艺术工学院, 访问学者

（5）2001-2至2005-11, 中国科学技术大学, 计算机科学技术系, 讲师

（6）1999-6至2001-1, 中国科学技术大学, 计算机科学技术系, 助教

主持、参与

项目

（1）国家自然科学基金委员会，共融机器人重大研发计划重点项目，呼吸道传染病应急检疫机器人基础理论及关键技术研究，2021-01至2024-12，92048203，参与

（2）中华人民共和国科学技术部，面向老人进食、洗浴和情感陪护的智能辅具技术与系统研发-课题3：拟人化情感陪护机器人研发，2020-12至2023-11，2020YFC2007703，参与

（3）中华人民共和国科学技术部，智慧家庭服务机器人技术与系统-课题2：人-机器人多模态自然交互技术，2019-05至2022-05，2018YFB1307102，主持

（4）国家自然科学基金委员会，国家重大科研仪器研制项目，61727809，基于大数据的微反应情感分析仪器，2018-01至2022-12，参与

（5）国家自然科学基金委员会，共融机器人重大研发计划培育项目，91748129，社会辅助机器人双向情感交互研究，2018-01至2020-12，主持

（6）国家自然科学基金委员会，面上项目，61473270，基于特权信息和面部先验知识的表情类别和动作单元识别研究，2015-01至2018-12，主持

荣誉、奖项

（1）OMG个性化共情预测比赛亚军, 国际学术奖, 2019(殷实; 王灿; 丁赫琰; 吴润龙; 王上飞).

（2）OMG通用共情预测比赛亚军, 国际学术奖, 2019(殷实; 王灿; 丁赫琰; 吴润龙; 王上飞).

（3）AVEC抑郁症预测比赛亚军, 国际学术奖 2019 (殷实; 梁聪; 丁赫琰; 王上飞).

科研成果

在国内外重要学术期刊和国际学术会议上发表学术论文百余篇。发表的论文成为IEEE Trans. 热点论文百余次。近3年论文如下：

期刊论文：

[1] Shangfei Wang, Heyan Ding, Guozhu Peng, Dual Learning for Facial Action Unit Detection under Non-Full Annotation, IEEE Transactions on Cybernetics, 2020.

[2] Shangfei Wang, Longfei Hao, Qiang Ji, Posed and Spontaneous Expression Distinction Using Latent Regression Bayesian Networks, ACM Trans. on Multimedia Computing, Communications and Applications, 2020.

[3] Sicheng Zhao, Shangfei Wang, Mohammad Soleymani, Dhiraj Joshi, and Qiang Ji. 2019. Affective Computing for Large-scale Heterogeneous Multimedia Data: A Survey. ACM Trans. on Multimedia Computing, Communications and Applications Appl. 15, 3s, Article 93 (December 2019), 32 pages. DOI: https://doi.org/10.1145/3363560.

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

[5] 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.

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

[7] 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.

[8] 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.

[9] 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

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

[11] 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)

[12] Shangfei Wang, Shiyu Chen, Tanfang Chen, Xiaoxiao Shi: Learning with privileged information for multi-Label classification. Pattern Recognition 81: 60-70(2018)

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

[14] 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)

会议论文：

[1] Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen, Cong Liang, Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking, ACMMM2020, 12-16 October 2020 Seattle, United States

[2] Bin Xia, Shangfei Wang, Occluded Facial Expression Recognition with Step-Wise Assistance from Unpaired Non-Occluded Images, ACMMM2020, 12-16 October 2020 Seattle, United States

[3] Bin Xia, Weikang Wang, Shangfei Wang, Enhong Chen, Learning from Macroexpression: a Micro-expression Recognition Framework, ACMMM2020, 12-16 October 2020 Seattle, United States

[4] Zhiwei Xu, Shangfei Wang, Can Wang, Exploiting Multi-Emotion Relations at Feature and Label Levels for Emotion Tagging, ACMMM2020, 12-16 October 2020 Seattle, United States

[5] Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen, Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data, ACMMM2020, 12-16 October 2020 Seattle, United States

[6] Bowen Pan, Shangfei Wang, Bin Xia, Occluded Facial Expression Recognition Enhanced through Privileged Information, ACMMM2019

[7] Can Wang, Shangfei Wang, Guang Liang, Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning, ACMMM2019

[8] Shi Yin, Cong Liang, Heyan Ding, Shangfei Wang: A Multi-Modal Hierarchical Recurrent Neural Network for Depression Detection. AVEC@MM 2019: 65-71

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

[10] Guozhu Peng, Shangfei Wang, Dual Semi-Supervised Learning for Facial Action Unit Recognition, AAAI2019, 8827-8834

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

[12] Shi Yin, Yonggan Fu, Can Wang, Runlong Wu, Heyan Ding, Shangfei Wang: Integrating Facial Images, Speeches and Time for Empathy Prediction. FG 2019: 1-3

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

[14] Longfei Hao, Shangfei Wang, Guozhu Peng and Qiang Ji, Facial Action Unit Recognition Augmented by Their Dependencies. FG 2018, 187-194.

[15] Bowen Pan, Shangfei Wang: Facial Expression Recognition Enhanced by Thermal Images through Adversarial Learning. ACM Multimedia 2018: 1346-1353.

[16] Can Wang, Shangfei Wang: Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network. ACM Multimedia 2018: 302-310