Shangfei Wang (王上飞)

Ph. D, Professor

Key Laboratory of Computing and Communication Software of Anhui Province (CCSL)

School of Computer Science and Technology

University of Science and Technology of China

Hefei, Anhui, China, 230027

Phone: +86-551-3602824 (Lab)

Email: sfwang@ustc. edu. cn

My Google Scholar Citations

My DBLP

Shangfei Wang

  • Doctor (2002), Department of Computer Science and Technology, USTC
  • Master (1999), Department of Electronic Science and Technology, USTC
  • Bachelor (1996), Department of Electronic Engineering, Anhui University

  • Jul. 2018 – present: Professor, School of Computer Science and Technology, USTC, China
  • Sept. 2011 – Sept. 2012: Visiting Scholar, Rensselaer Polytechnic Institute, USA
  • Dec. 2005 – 2018: Associate Professor, School of Computer Science and Technology, USTC, China
  • Jul. 2004 – Oct. 2005: Visiting Scholar, Kyushu University, Japan
  • Feb. 2001 – Nov. 2005: Lecturer, School of Computer Science and Technology, USTC, China
  • Jun. 1999 – Jan. 2001 Assistance Professor, School of Computer Science and Technology, USTC, China

  • Pattern Recognition
  • Affective Computing
  • Probabilistic Graphical Models
  • Computation Intelligence

  • Associate editor of IEEE Trans. on Affective Computing, 2019 ~
  • Associate editor of ACM Trans. on Multimedia Computing, Communications, and Applications, 2019 ~
  • Publicity Chair of the 8th?Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2019), Cambridge, UK, 2019
  • Doctoral Consortium co-chair of 13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018), Xian, China, 2018
  • Workshop/Tutorial co-chair of the 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017), Washington DC, USA
  • Doctoral Consortium co-chair of the 6th?Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2015), Xian, China, 2015
  • Program co-chair of the 1st International Workshop on Multimedia Affective Computing,in conjunction with IEEE International Conference on Multimedia & Expo., Chendu, China, 2014.
  • Program chair of the special session on Affective Human-Machine Interaction, the 12th International Conference on Intelligent Autonomous System, Jeju Island, Korea, 2012.
  • Program co-chair of the special session on Interactive Evolutionary Computation and Affective Computing, The Second World Congress on Nature and Biologically Inspired Computing, Kitakyushu, Japan, 2010.
  • Member of IEEE
  • Member of ACM
  • Portal member of HUMAINE
  • Member of Artificial Emotion and Artificial Psychology of China
  • Member of China Computer Federation

I am the Principal Investigator (PI) of all the following grants unless noted otherwise.

  • 2018. 1-2020. 12, National Nature Science Foundation Program, Major Research Plan of Coexisting-Cooperative-Cognitive Robots, Training Program, Research on Bidirectional Emotive Interaction of Social Assistance Robots.
  • 2018. 1-2020. 12, Key Research and Development Program of Anhui Province, Multimodal Emotion Recognition and Assistance of Medical Service Robot.
  • 2015. 1-2018. 12, National Nature Science Foundation Program, Facial expression and action unit recognition by using privileged information and facial prior knowledge.
  • 2012. 1-2015. 12, National Nature Science Foundation Program, Implicit Emotional Semantic Annotation and Editing of Videos based on Audiences’ Facial Information.
  • 2013. 1-2014. 12, National Nature Science Foundation Program -overseas scholars collaborative research fund, Visual-based Emotion Recognition and Assistance from visual information and application in service robot. I am the Coordinator in China.
  • 2011. 6-2012. 12, Anhui Science and Technology Agency, Study of Affective Information Processing and its Application.
  • 2011. 6-2012. 12, Special Innovation Project on Speech of Anhui Province: Study of Affective Perception and Expression in Natural Human-Computer Interaction (Sub-project).
  • 2010. 6-2012. 6, Program Xu Guangqi, Statistical Learning for Affective Brain Computer Interfaces (BCI). Prof. Stephane Canu, from LITIS, INSA de Rouen, is the Coordinator in France; I am the Coordinator in China.
  • 2009. 1-2010. 12, National High Technology Research and Development Program (National 863 Project), Facial Expression Recognition and Emotion Inference by Fusing Visible and Infrared Images.
  • 2008. 1- 2009. 12, Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry, Affective Multimedia Content Analysis and Design.
  • 2008. 7-2009. 6, Project Sponsored by Huawei Company, Emotion-based Music Analysis and Synthesis.
  • 2007. 1-2008. 12, Project from Nature Science Foundation of Anhui Province, Multimedia Emotion Modeling and its Application in Multimedia Environment.
  • 2007. 1-2007. 12, Open Project from Key Lab of Computing and Communicating Software of Anhui Province, Several Issues in Facial Expression Recognition.
  • 2005. 1-2005. 12, National Nature Science Foundation Program, Artificial Emotion Modeling and its Application.
  • 2002. 6-2004. 6, Youth Project of USTC, Kansei Information Processing and Its Application.

  • USTC-NVIE database (Natural Visible and Infrared facial Expression) has been constructed and published under the sponsor of the National 863 Project.
  • 2019, second place on the Generalized Track of OMG - Empathy Prediction Challenge.
  • 2019, second place on the Personalized Track of OMG - Empathy Prediction Challenge.
  • 2019, Runner-up of the Detecting Depression with AI Sub-Challenge.

BOOK/BOOK CHAPTER

  1. Shangfei Wang, Wang Xufa, Kansei Engineering and Soft Computing: Theory and Practice Chapter 7: Emotional Semantic Detection from Multimedia: A Brief Overview, Pennsylvania: IGI Global, 2010.

JOURNAL/TRANSACTION PAPERS

  1. Shangfei Wang, Heyan Ding, Guozhu Peng, Dual Learning for Facial Action Unit Detection under Non-Full Annotation, IEEE Trans. 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:Affective Computing for Large-scale Heterogeneous Multimedia Data: A Survey, ACM Trans. on Multimedia Computing, Communications and Applications, 2019.
  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)
  15. Shangfei Wang, Guozhu Peng, Qiang Ji. Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition, IEEE Trans. on Affective Computing, 2017.
  16. 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, 2017.
  17. Shangfei Wang, Shiyu Chen, Qiang Ji. Content-based Video Emotion Tagging Augmented by Users' Multiple Physiological Responses. IEEE Trans. on Affective Computing, 2017.
  18. Shangfei Wang, Quan Gan, Qiang Ji: Expression-assisted facial action unit recognition under incomplete AU annotation. Pattern Recognition 61: 78-91, 2017.
  19. Shangfei Wang, Jiajia Yang, Zhen Gao, Qiang Ji: Feature and label relation modeling for multiple-facial action unit classification and intensity estimation. Pattern Recognition 65: 71-81, 2017.
  20. Shangfei Wang, Chongliang Wu, Qiang Ji, Capturing global spatial patterns for distinguishing posed and spontaneous expressions, Computer Vision and Image Understanding, 147: 69-76, 2016.
  21. Shangfei Wang, Shan Wu and Qiang Ji, Facial Expression Recognition through Modeling Age-related Spatial Patterns, Multimedia Tools and Applications, 75(7): 3937-3954, 2016.
  22. Shangfei Wang, Zhen Gao, Shan He, Menghua He, Qiang Ji, Gender recognition from visible and thermal infrared facial images, Multimedia Tools and Applications, 75(14): 8419-8442, 2016.
  23. Shangfei Wang, Jun Wang, Ziheng Wang and Qiang Ji, Multiple Emotion Tagging for Multimedia Data by Exploiting High-order Dependencies among Emotions, IEEE Trans. on Multimedia, 17(12): 2185-2197, 2015.
  24. Shangfei Wang, Yachen Zhu, Lihua Yue, and Qiang Ji, Emotion recognition with the help of privileged information, IEEE Trans. on Autonomous Mental Development, 7(3): 189-200, 2015.
  25. Shangfei Wang, Qiang Ji, Video affective content analysis: a survey of state of the art methods, IEEE Trans. on Affective Computing, 6(4): 410-430, 2015.
  26. Shangfei Wang, Chongliang Wu, Menghua He, Jun Wang, Qiang Ji: Posed and spontaneous expression recognition through modeling their spatial patterns, Machine Vision and Applications, 26(2-3): 219-231, 2015.
  27. Shangfei Wang, Menghua He, Yachen Zhu, Shan He, Yue Liu, Qiang Ji: Learning with privileged information using Bayesian networks, Frontiers of Computer Science, 9(2): 185-199, 2015.
  28. Shangfei Wang, Zhaoyu Wang, Qiang Ji : Multiple emotional tagging of multimedia data by exploiting dependencies among emotions, Multimedia Tools and Applications : 74(6): 1863-1883, 2015.
  29. Shangfei Wang, Zhilei Liu, Yachen Zhu, Menghua He, Xiaoping Chen, Qiang ji. Implicit video emotion tagging from audiences’ facial expression, Multimedia Tools and Applications, 74(13): 4679-4706, 2015.
  30. Shangfei Wang, Zhilei Liu, Jun Wang, Zhaoyu Wang, Yongqiang Li, Xiaoping Chen, Qiang Ji. Exploiting multi-expression dependences for implicit multi-emotion video tagging. Image Vision Computing. 32(10): 682-691, 2014.
  31. Shangfei Wang, Jun Wang, Zhaoyu Wang, Qiang Ji, Enhancing multi-label classification by modeling dependencies among labels, Pattern Recognition 47(10): 3405-3413, 2014.
  32. Shangfei Wang, Menghua He, Zhen Gao, Shan He and Qiang Ji, Emotion recognition from thermal infrared images using deep Boltzmann machine, Frontiers of Computer Science, 8(4): 609-618, 2014.
  33. Shangfei Wang, Shan He, Yue Wu, Menghua He, Qiang Ji, Fusion of visible and thermal images for facial expression recognition. Frontiers of Computer Science 8(2): 232-242, 2014.
  34. Shangfei Wang, Yachen Zhu, Guobing Wu, Qiang Ji, Hybrid video emotional tagging using users' EEG and video content. Multimedia Tools and Applications. 72(2): 1257-1283, 2014.
  35. Shangfei Wang, Zhilei Liu, Zhaoyu Wang, Guobing Wu, Peijia Shen, Shan He, Xufa Wang, Analyses of a Multi-modal Spontaneous Facial Expression Database. IEEE Trans. on Affective Computing, 4, 34-46, 2013.
  36. Yongxiang Li, Shangfei Wang, Yongping Zhao, and Qiang Ji, Simultaneous Facial Feature Tracking and Facial Expression Recognition, IEEE Trans. on Image Processing, 22, 2559-2573, 2013.
  37. Shangfei Wang, Zhilei Liu, Peijia Shen, Qiang Ji, Eye localization from thermal infrared images. Pattern Recognition 46(10): 2613-2621, 2013,
  38. Shangfei Wang, Rui Ding, A qualitative and quantitative study of color emotion using valence-arousal, Frontier of computer science, 6(4), 469-476, 2012.
  39. Shangfei Wang, Zhilei Liu, Siliang Lv, Yanpeng Lv, Guobing Wu, Peng Peng, Fei Chen, Xufa Wang, A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference, IEEE Trans. on Multimedia, 12(7), 682-691, 2010.

INTERNATIONAL CONFERENCE PAPERS

  1. Bowen Pan, Shangfei Wang, Bin Xia, Occluded Facial Expression Recognition Enhanced through Privileged Information, ACMMM2019
  2. Can Wang, Shangfei Wang, Guang Liang, Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning, ACMMM2019
  3. Shi Yin, Cong Liang, Heyan Ding, Shangfei Wang: A Multi-Modal Hierarchical Recurrent Neural Network for Depression Detection. AVEC@MM 2019: 65-71
  4. Shi Yin, Shangfei Wang, Xiaoping Chen, Capture Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning, IJCAI2019, 1010-1017
  5. Guozhu Peng, Shangfei Wang, Dual Semi-Supervised Learning for Facial Action Unit Recognition, AAAI2019, 8827-8834
  6. Bowen Pan, Shangfei Wang, Qisheng Jiang, Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning, AAAI2019, 679-686
  7. 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
  8. Guozhu Peng, Shangfei Wang, Weakly Supervised Facial Action Unit Recognition through Adversarial Training, CVPR2018, 2188-2194.
  9. Longfei Hao, Shangfei Wang, Guozhu Peng and Qiang Ji, Facial Action Unit Recognition Augmented by Their Dependencies. FG 2018, 187-194.
  10. Bowen Pan, Shangfei Wang: Facial Expression Recognition Enhanced by Thermal Images through Adversarial Learning. ACM Multimedia 2018: 1346-1353.
  11. Can Wang, Shangfei Wang: Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network. ACM Multimedia 2018: 302-310
  12. Quan Gan, Shangfei Wang, Longfei Hao, Tanfang Chen and Qiang Ji, Multimodal Deep Regression Bayesian Networks for Affective Video Content Analyses, IEEE International Conference on Computer Vision (ICCV), 2017, 5123-5132.
  13. Shan Wu, Shangfei Wang, Bowen Pan and Qiang Ji, Deep Facial Action Unit Recognition from Partially Labeled Data, IEEE International Conference on Computer Vision (ICCV), 2017, 3971-3979.
  14. Tanfang Chen, Yaxin Wang, Shangfei Wang, Shiyu Chen. Exploring Domain Knowledge for Affective Video Content Analyses. ACMMM 2017, 769-776.
  15. Jiajia Yang, Shangfei Wang, Capturing Spatial and Temporal Patterns for Distinguishing between Posed and Spontaneous Expression, ACMMM 2017, 469-477.
  16. Tanfang Chen, Shangfei Wang, Shiyu Chen. Deep Multimodal Network for Multi-label Classification. IEEE International Conference on Multimedia and Expo (ICME) 2017, 955-960.
  17. Yangyang Shu, Shangfei Wang. Emotion Recognition through Integrating EEG and Peripheral Signals, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017, 2871-2875.
  18. Shan Wu, Shangfei Wang, Zhen Gao. Personalized Video Emotion Tagging through a Topic Model, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017, 2866-2870.
  19. Quan Gan, Siqi Nie, Shangfei Wang and Qiang Ji. Differentiating between posed and spontaneous expressions with Latent Regression Bayesian Network, AAAI Conference on Artificial Intelligence (AAAI), 2017. 4039-4045.
  20. Shan Wu, Shangfei Wang and Qiang Ji. Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data, AAAI Conference on Artificial Intelligence (AAAI), 2017. 1026-1033.
  21. Rui Zhao, Quan Gan, Shangfei Wang, Qiang Ji: Facial Expression Intensity Estimation Using Ordinal Information. CVPR 2016: 3466-3474.
  22. Chongliang Wu, Shangfei Wang, Bowen Pan, Huapin Chen: Facial Expression Recognition with Deep two-view Support Vector Machine, ACM on Multimedia Conference (ACMMM), 2016. 616-620.
  23. Shiyu Chen, Zhen Gao, and Shangfei Wang. Emotion recognition from peripheral physiological signals enhanced by EEG. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. 2827-2831.
  24. Shiyu Chen, Shangfei Wang, Chongliang Wu, Zhen Gao, Xiaoxiao Shi, Qiang Ji. Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses, 23rd IEEE International Conference on Pattern Recognition (ICPR), 2016: 295-300.
  25. Jiajia Yang, Shan Wu, Shangfei Wang, Qiang Ji. Multiple facial action unit recognition enhanced by facial expressions, 23rd IEEE International Conference on Pattern Recognition (ICPR), 2016, 4089-4094.
  26. Shan Wu, Shangfei Wang, Yachen Zhu, Zhen Gao, Lihua Yue, Qiang Ji: Employing subjects' information as privileged information for emotion recognition from EEG signals. ICPR 2016, 301-306.
  27. Shan Wu, Shangfei Wang, Qiang Ji: Multiple Facial Action Unit recognition by learning joint features and label relations. ICPR 2016: 2246-2251.
  28. Tanfang Chen, Shangfei Wang, Zhen Gao, Chongliang Wu. Emotion Recognition from EEG Signals Enhanced by User's Profile. The Annual ACM International Conference on Multimedia Retrieval (ICMR) 2016, 277-280.
  29. Chongliang Wu, Shangfei Wang, Posed and Spontaneous Expression Recognition through Restricted Boltzmann Machine, the 22nd international conference on Multimedia Modelling (MMM2016), 127-137.
  30. Zhen Gao, Shangfei Wang, Emotion Recognition from EEG Signals by Leveraging Stimulus Videos, Pacific-Rim Conference on Multimedia (PCM2015), 118-127.
  31. Quan Gan, Chongliang Wu, Shangfei Wang and Qiang Ji, Posed and Spontaneous Facial Expression Differentiation Using Deep Boltzmann Machines, 6th International Conference on Affective Computing and Intelligent Interaction (ACII 2015), 643-648.
  32. Jun Wang, Shangfei Wang, Qiang Ji: Facial Action Unit Classification with Hidden Knowledge under Incomplete Annotation, ICMR2015, 75-82.
  33. Zhen Gao, Shangfei Wang, Qiang Ji: Emotion recognition from users' eeg signals using hierarchical bayesian model with privileged information, ICMR2015, 575-578.
  34. Zhen Gao, Shangfei Wang, Multiple Aesthetic Attribute Assessment by Exploiting Relations Among Aesthetic Attributes, ICMR2015, 579-582.
  35. Xiaoxiao Shi, Shangfei Wang, Yachen Zhu, Expression Recognition from Visible Images with the Help of Thermal Images, ICMR2015, 563-566.
  36. Chongliang Wu, Shangfei Wang, Qiang Ji, Multi-instance Hidden Markov Model for Facial Expression Recognition, FG2015.
  37. Shan Wu, Shangfei Wang, Enhanced Facial Expression Recognition by Age, FG2015.
  38. Baoyuan Wu, Zhilei Liu, Shangfei Wang, Baogang Hu, Qiang Ji. Multilabel Learning with Missing Labels, International Conference on Pattern Recognition, the 22nd International Conference on Pattern Recognition (ICPR 2014), 1964-1968.
  39. Yachen Zhu, Shangfei Wang, Qiang Ji. Emotion recognition from users' EEG signals with the help of stimulus VIDEOS. IEEE International Conference on Multimedia and Expo (ICME) 2014.
  40. Yachen Zhu, Shangfei Wang, Lihua Yue, Qiang Ji. Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling. the 22nd International Conference on Pattern Recognition (ICPR 2014), 1663-1668.
  41. Jun Wang, Shangfei Wang, Qiang Ji, Early Facial Expression Recognition Using Hidden Markov Models, the 22nd International Conference on Pattern Recognition (ICPR 2014), 4594-4599.
  42. Ziheng Wang, Shangfei Wang, and Qiang Ji, Capturing Complex Spatio-Temporal Relations among Facial Muscles for Facial Expression Recognition, CVPR2013, 3422-3429.
  43. Ziheng Wang, Yongxiang Li, Shangfei Wang, and Qiang Ji, Capturing Global Semantic Relationships for Facial Action Unit Recognition, ICCV2013, 3304-3311.
  44. Menghua He, Shangfei Wang, Zhilei Liu, Xiaoping Chen, Analyses of the Differences between Posed and Spontaneous Facial Expressions, International Conference on Affective Computing and Intelligent Interaction (ACII) 2013, 79 – 84.
  45. Menghua He, Shangfei Wang, Qiang Ji, Active labeling of facial feature points, ACII2013, 55-60.
  46. Shan He, Shangfei Wang, Wuwei Lan, Huan Fu and Qiang Ji, Facial Expression Recognition using Deep Boltzmann Machine from Thermal Infrared Images, ACII 2013, 239-244;
  47. Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stephane Canu. Emotional Influence on SSVEP based BCI, ACIIW2013, 859-864
  48. Zhilei Liu, Shangfei Wang, Zhaoyu Wang, and Qiang Ji: Implicit Video Multi-Emotion Tagging by Exploiting Multi-Expression Relations, the 10th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2013.
  49. Zhaoyu Wang, Shangfei Wang, Menghua He, Zhilei Liu and Qiang Ji, Emotional tagging of videos by exploring multi-emotion coexistence, FG 2013.
  50. Zhilei Liu, Shangfei Wang, Posed and Spontaneous Expression Distinguishment from Infrared Thermal Images, the 21st International Conference on Pattern Recognition (ICPR2012), 1108 -1111.
  51. Zhaoyu Wang, Shangfei Wang, Yachen Zhu, and Qiang Ji. Bias analysis of spontaneous facial expression database, ICPR 2012, 2926-2929.
  52. Zhilei Liu, Shangfei Wang, Emotion Recognition Using Hidden Markov Models from Facial Temperature Sequence, the 4th bi-annual International Conference on Affective Computing and Intelligent Interaction (ACII 2011), 240-247.
  53. Bin Xu, Shangfei Wang, Xian Li, An Emotional Harmony Generation System, 2010 IEEE Congress on Evolutionary Computation (CEC 2010), 953-956.
  54. Shangfei Wang, Hua Zhu, Musical Perceptual Similarity Estimation using Interactive Genetic Algorithm, CEC 2010, 3440-3446.

PATENTS

  1. 一种人眼识别系统及方法  ZL201010531501. 4 2013
  2. 一种和声编制方法与装置  ZL200910109772. 5 2013

Last updated at 2020/04/06.