» 您的位置:首页 > 研究队伍
王甦菁
认知与发展心理学研究室, 副研究员
电 话:  010-64875971
传 真:  010-64875971
通讯地址:  北京市朝阳区林萃路16号院中科院心理所
邮政编码:  100101
电子邮件:  wangsujing@psych.ac.cn
课题组网站:  

简历:

2017.03至今     中国科学院心理研究所,副研究员
2015.07-2017.02 中国科学院心理研究所,助理研究员
2012.08-2015.06 中国科学院心理研究所,博士后
2008.09-2012.06 吉林大学,计算机应用技术,工学博士学位
2005.09-2007.06 吉林大学,软件工程,工程硕士学位
1999.09-2002.06 淮海工学院,计算机及应用,工学学士学位
1995.09-1997.06 江苏省广播电视大学,财务会计,普通专科

研究领域:

模式识别(特别是人脸识别和微表情识别),机器学习,图像处理(特别是对fMRI等图像处理)

社会任职:

2016.09- 中国计算机学会计算机视觉专业委员会委员
2014.02- Neurocomputing编委
2014-2017  Journal of Computational Science 期刊客座编辑

获奖及荣誉:

2016年北京讪残疾人自强模范
2014年吉林省优秀博士学位论文
2014年吉林大学优秀博士学位论文
2013年获得“北京榜样”提名奖
2013年获得新华社“中国网事?感动2012”年度人物
2013年获得“感动吉林”2012年度人物
2011年获得IBM中国优秀学生奖学金
2011年获得吉林大学第二十五届研究生“精英杯”学术成果大奖赛一等奖
2009年评为吉林大学2008-2009学年优秀研究生
2009年获得吉林大学2008-2009学年二等研究生优秀奖学金
2005年授予江苏省连云港市残疾人自强模范
2004年江苏省劳动保障厅授予“江苏省技术能手”称号决定
2002年获得江苏省残疾人电脑比赛一等奖
2001年评为江苏省精神文明建设新人新事
2001年评为淮海工学院优秀学员
2001年评为江苏省连云港市技术能手
2000年国家授予全国职工自学成才奖
2000年获得江苏省残疾人电脑比赛一等奖
1999年评为江苏省职工自学成才者
1999年评为江苏省连云港市“十佳新人新事”
1999年评为江苏省连云港市“第六届连云港市十大杰出青年”
1999年评为江苏省连云港市灌云县县级技术拔尖人才
1997年获首届全国大学生电脑大赛总决赛纪念奖
1997年评为江苏省电大优秀毕业生
1995年江苏省连云港市微机使用大赛获得第三名
1993年评为江苏省连云港市灌云县最佳青年

代表论著:

1. Qu, F., Wang, S-J#., Yan, W-J., Li, H., Wu, S., & Fu, X. (2017). CAS(ME) 2: A Database for Spontaneous Macro-expression and Micro-expression Spotting and Recognition. IEEE Transactions on Affective Computing, 2017, PP(99): 1-1.
2. Wang, S-J.*, Wu S., Qian X., Li J., Fu X. A Main Directional Maximal Difference Analysis for Spotting Facial Movements from Long-term Videos[J]. Neurocomputing, 2017, 230(382-389.
3. Wang, S-J.*, Yan, W-J., Sun, T., Zhao, G., & Fu, X. (2016). Sparse tensor canonical correlation analysis for micro-expression recognition. Neurocomputing, 214, 218-232.
4. Wang, S-J., Wu S, Fu X. A Main Directional Maximal Difference Analysis for Spotting Micro-expressions[C]. In Workshop on Facial Informatics (WFI), in conjunction with the Asian Conference on Computer Vision (ACCV) 2016, Taipei, November 20-24, 2016.
5. Liu, Y.-J., Zhang, J.-K., Yan, W.-J., Wang, S.-J.*, Zhao, G., & Fu, X. L. (2016). A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition. IEEE Transactions on Affective Computing, 7(4), 299-310.
6. Chen, H.-L., Wang, G., Ma, C., Cai, Z.-N., Liu, W.-B., & Wang, S.-J.* (2016). An Efficient Hybrid Kernel Extreme Learning Machine Approach for Early Diagnosis of Parkinson’s Disease. Neurocomputing.184, 131-144.
7. Qu, F., Wang, S.-J., Yan, W., & Fu, X.* (2016). CAS(ME)2: A Database of Spontaneous Macro-Expressions and Micro-Expressions. in Human-Computer Interaction. Novel User Experiences: 18th International Conference, HCI International 2016, Toronto, ON, Canada, July 17-22, 2016. Proceedings, Part III, M. Kurosu, Editor. 2016, Springer International Publishing: Cham. p. 48-59.
8. Yu, M., Liu, Y.-J.*, Wang, S.-J., Fu, Q., & Fu, X. (2016). A PMJ-inspired cognitive framework for natural scene categorization in line drawings. Neurocomputing, 173, Part 3, 2041-2048.
9. Huang, X., Wang, S.-J., Zhao, G., & Piteikainen, M. (2015). Facial Micro-Expression Recognition Using Spatiotemporal Local Binary Pattern with Integral Projection. Paper presented at the Computer Vision Workshop (ICCVW), 2015 IEEE International Conference on,2015, 1-9.
10. Wang, S.-J.*, Yan, W.-J., Li, X., Zhao, G., Zhou, C.-G., Fu, X., Yang, M., & Tao, J. (2015). Micro-Expression Recognition Using Color Spaces. IEEE Transactions on Image Processing, 24(12), 6034-6047.
11. Chen, H. l., Yang, B., Wang, S.-J., Wang, G., Liu, D. y., Li, H. z., & Liu, W. b. (2014). Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy. Applied Mathematics and Computation, 239(0), 180-197. doi: http://dx.doi.org/10.1016/j.amc.2014.04.039
12. Wang, S.-J., Yan, S., Yang, J., Zhou, C.-G., & Fu, X. (2014). A General Exponential Framework for Dimensionality Reduction. IEEE Transactions on Image Processing, 23(2), 920-930. doi: 10.1109/TIP.2013.2297020
13. Wang, S.-J., Chen, H.-L., Yan, W.-J., Chen, Y.-H., & Fu, X. (2014). Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine. Neural Processing Letters, 39(1), 25-43. doi: 10.1007/s11063-013-9288-7
14. Wang, S.-J., Yan, W.-J., Li, X., Zhao, G., & Fu, X. L. (2014). Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space. Paper presented at the the 22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden.
15.
Wang, S.-J., Yan, W.-J., Zhao, G., Fu, X., & Zhou, C.-G. (2014). Micro-expression Recognition using Robust Principal Component Analysis and Local Spatiotemporal Directional Features. Paper presented at the ECCV workshop on Spontaneous Facial Behavior Analysis.
16. Yan, W.-J., Wang, S.-J., Chen, Y.-H., Zhao, G., & Fu, X. (2014). Quantifying Micro-expressions with Constraint Local Model and Local Binary Pattern. Paper presented at the ECCV workshop on Spontaneous Facial Behavior Analysis.
17. Yan, W.-J., Wang, S.-J., Liu, Y.-J., Wu, Q., & Fu, X. (2014). For micro-expression recognition: Database and suggestions. Neurocomputing, 136(0), 82-87. doi: http://dx.doi.org/10.1016/j.neucom.2014.01.029
18. Yan, W.-J., Li, X., Wang, S.-J., Zhao, G., Liu, Y.-J., Chen, Y.-H., & Fu, X. (2014). CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation. Plos one, 9(1), e86041. doi: 10.1371/journal.pone.0086041
19. Chen, H.-L., Huang, C.-C., Yu, X.-G., Xu, X., Sun, X., Wang, G., & Wang, S.-J. (2013). An efficient diagnosis system for detection of Parkinsons disease using fuzzy k-nearest neighbor approach. Expert Systems with Applications, 40(1), 263-271. doi: 10.1016/j.eswa.2012.07.014
20. Wang, S.-J., Zhou, C.-G., & Fu, X. (2013). Fusion Tensor Subspace Transformation Framework. Plos one, 8(7), e66647. doi: 10.1371/journal.pone.0066647
21. Yan, W.-J., Wu, Q., Liu, Y.-J., Wang, S.-J., & Fu, X. (2013). CASME Database: A Dataset of Spontaneous Micro-Expressions Collected From Neutralized Faces. Paper presented at the the 10th IEEE Conference on Automatic Face and Gesture Recognition (FG), Shanghai, China.
22. 梁静, 颜文靖, 吴奇, 申寻兵, 王甦菁, & 傅小兰. (2013). 微表情研究的进展与展望. 中国科学基金, 27(2), 75-78.
23. Chen, H.-L., Yang, B., Wang, G., Wang, S.-J., Liu, J., & Liu, D.-Y. (2012). Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence. Journal of Medical Systems, 36(4), 2505-2519. doi: 10.1007/s10916-011-9723-0
24. Jia, C.-C., Wang, S.-J., Peng, X.-J., Pang, W., Zhang, C.-Y., Zhou, C.-G., & Yu, Z.-Z. (2012). Incremental multi-linear discriminant analysis using canonical correlations for action recognition. Neurocomputing, 83(16), 56-63.
25. Pang, E.-P., Wang, S.-J., Qu, M.-Z., Liu, R., Jia, C.-C., & Yu, Z.-Z. (2012). 2D-SPP: A Two-dimensional Extension of Sparsity Preserving Projections. Journal of Information and Computational Science, 9(13), 3683-3692.
26. Wang, S.-J., Sun, M.-F., Chen, Y.-H., Pang, E.-P., & Zhou, C.-G. (2012). STPCA: Sparse Tensor Principal Component Analysis for Feature Extraction. Paper presented at the the 21st International Conference on Pattern Recognition (ICPR), Tsukuba, Japan.
27. 
Wang, S.-J., Yang, J., Sun, M.-F., Peng, X.-J., Sun, M.-M., & Zhou, C.-G. (2012). Sparse Tensor Discriminant Color Space for Face Verification. IEEE Transactions on Neural Networks and Learning Systems, 23(6), 876-888. doi: 10.1109/tnnls.2012.2191620
28. 周春光, 孙明芳, 王甦菁, 陈前, 刘小华, & 刘昱昊. (2012). 基于稀疏张量的人脸图像特征提取方法. 吉林大学学报(工学版), 42(6), 1521-1526.
29. Chen, H.-L., Liu, D.-Y., Yang, B., Liu, J., Wang, G., & Wang, S.-J. (2011). An Adaptive Fuzzy k-Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction. Paper presented at the the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2011), Shenzhen, China.
30. Chen, H.-L., Yang, B., Wang, G., Liu, J., Xu, X., Wang, S.-J., & Liu, D.-Y. (2011). A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method. Knowledge-Based Systems, 24(8), 1348-1359. doi: 10.1016/j.knosys.2011.06.008
31. Liu, Y., Wang, G., Chen, H., Dong, H., Zhu, X., & Wang, S.-J. (2011). An Improved Particle Swarm Optimization for Feature Selection. Journal of Bionic Engineering, 8(2), 191-200. doi: 10.1016/S1672-6529(11)60020-6
32. Sun, M.-F., Wang, S.-J., Liu, X.-H., Jia, C.-C., & Zhou, C.-G. (2011). Human Action Recognition Using Tensor Principal Component Analysis. Paper presented at the the 4th IEEE International Conference on Computer Science and Information Technology.
33. Wang, S.-J., Yang, J., Zhang, N., & Zhou, C.-G. (2011). Tensor Discriminant Color Space for Face Recognition. IEEE Transactions on Image Processing, 20(9), 2490-2501. doi: 10.1109/TIP.2011.2121084
34. Wang, S.-J., Chen, H.-L., Peng, X.-J., & Zhou, C.-G. (2011). Exponential locality preserving projections for small sample size problem. Neurocomputing, 74(17), 3654-3662. doi: 10.1016/j.neucom.2011.07.007
35. Wang, S.-J., Zhou, C.-G., Chen, Y.-H., Peng, X.-J., Chen, H.-L., Wang, G., & Liu, X. (2011). A novel face recognition method based on sub-pattern and tensor. Neurocomputing, 74(17), 3553-3564. doi: 10.1016/j.neucom.2011.06.017
36. Wang, S.-J., Zhou, C.-G., Zhang, N., Peng, X.-J., Chen, Y.-H., & Liu, X. (2011). Face recognition using second-order discriminant tensor subspace analysis. Neurocomputing, 74(12-13), 2142-2156. doi: 10.1016/j.neucom.2011.01.024
37. Wang, S.-J., Jia, C.-C., Chen, H.-L., & Zhou, C.-G. (2011). Matrix Exponential LPP for Face Recognition. Paper presented at the the First Asian Conference on Pattern Recognition (ACPR), Beijing, China.
38. Wang, S.-J., Zhou, C.-G., Sun, M.-F., Chen, H.-L., Liu, X.-H., & Peng, X.-J. (2011). Can Estimate Age Range Using 'a Face a Person'? Journal of Computational Information Systems, 7(13), 4586-4593.
39. Wang, S.-J., Zhang, N., Peng, X.-J., & Zhou, C.-G. (2011). Two-dimensional Locality Preserving Projection Based on Maximum Scatter Difference. Journal of Information and Computational Science, 8(3), 484-494.
40. Wang, S.-J., Zhang, N., Sun, M.-F., & Zhou, C.-G. (2011). The Analysis of Parameters t and k of LPP on Several Famous Face Databases. Paper presented at the the Second International Conference on Swarm Intelligence.
41. 陈前, 王甦菁, 刘小华, 高蕾, & 周春光. (2011). 一种快速的虹膜定位算法. 吉林大学学报(理学版), 49(06), 1095-1100.
42. 刘小华, 石娜, 王甦菁, & 李春玲. (2011). 复杂背景下同光度性质物体的图像分割. 吉林大学学报(理学版), 49(05), 901-905.
43. 王甦菁, 周春光, 张娜, 李建朋, & 张利彪. (2011). 一种基于形状和纹理特征的人脸年龄估计方法. 吉林大学学报(工学版), 41(5), 1383-1387.
44. 张德才, 周春光, 周强, 池淑珍, & 王甦菁. (2011). 基于轮廓的孔洞填充算法. 吉林大学学报(理学版), 49(1), 82-86.
45. Jia, C.-C., Wang, S.-J., Xu, X., Zhou, C.-G., & Zhang, L. (2010). Tensor analysis and multi-scale features based multi-view human action recognition. Paper presented at the the Second International Conference on Computer Engineering and Technology (ICCET). 10.1109/ICCET.2010.5485732%\ 2011-05-04 23:55:00
46. Wang, S.-J., Zhang, D.-C., Jia, C.-C., Zhang, N., Zhou, C.-G., & Zhang, L.-B. (2010). A Sign Language Recognition Based on Tensor. Paper presented at the the Second International Conference on Multimedia and Information Technology (MMIT). 10.1109/MMIT.2010.21%\ 2011-07-14 09:09:00
47. Zhang, L., Xu, X., Wang, S.-J., Ma, M., Zhou, C.-G., & Sun, C. (2010). Solved Environmental/Economic Dispatch Based on Multi-objective PSO. Paper presented at the the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). 10.1109/ICICTA.2010.470%\ 2010-08-19 18:06:00
48. Zhang, L., Xu, X., Wang, S.-J., Zhou, C.-G., & Sun, C. (2010). Environmental/Economic Dispatch using a improved Differential Evolution. Paper presented at the the Second International Conference on Computer Engineering and Technology (ICCET).
49. 陈震, 张娜, & 王甦菁. (2010). 一种基于概念矩阵的概念格生成算法. 计算机科学, 37(9), 180-183. 

更多成果信息请见:http://ir.psych.ac.cn/wangsujing@psych.ac.cn

承担科研项目情况:

20182021 国家自然科学基金委面上项目“基于深度学习的微表情检测和识别的研究” (61772511)
                                       
资助金额         68万元
20142017 国家自然科学基金委面上项目“基于稀疏张量的微表情识别研究” (61379095)
                                       
资助金额         73万元
20152017 北京市自然科学基金面上项目“基于稀疏张量和深度学习的微表情识别的研究” (4152055)
                                       
资助金额         18万元
20142015 中国博士后科学基金第七批特别资助项目 “基于稀疏张量的彩色微表情视频的动态纹理提取”(2014T70133)
                                       
资助金额         15万元
2012
2014 中国博士后科学基金面上项目“彩色微表情视频的张量表示及其特征抽取的研究”(2012M520428)
                                       
资助金额         5万元
2013
2014 符号计算与知识工程教育部重点实验室开放基金项目“彩色微表情视频的稀疏表示”(93K172013K04)
                                       
资助金额         5万元
2014
2015 模式识别国家重点实验室开放课题“彩色微表情视频纹理提取和稀疏表示的研究”(201306295)
                                       
资助金额         5万元