中国科学院心理计算机,心理所人才库----中国科学院心理研究所

1.Wang Su-Jing, Lin Bo, Wang Yong, Yi Tongqiang, Zou Bochao, Lyu Xiang-wen. Action Units recognition based on Deep Spatial-Convolutional and Multi-label Residual network [J]. Neurocomputing, 2019, 359: 130-138.

2.See John, Yap Moi Hoon, Li Jingting, Hong Xiaopeng, Wang Su-Jing. MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge [C]. Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019, 1-5.

3.Li J., Soladié C., Séguier R., Wang S., Yap M. H. Spotting Micro-Expressions on Long Videos Sequences [C]. Proceedings of the 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019, 1-5.

4.Huang Xiaohua, Wang Su-Jng, Liu Xin, Zhao Guoying, Feng Xiaoyi, Pietikainen Matti. Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition [J]. IEEE Transactions on Affective Computing, 2019, 10(1): 32-47.

5.He Ying, Yang Han-Bo, Wang Su-Jing. CDBV: A Driving Dataset with Chinese Characteristics From a Bike View [J]. IEEE Access, 2019, 7: 51714-51723.

6.Su-Jing Wang, Bing-Jun Li, Yong-Jin Liu, Wen-Jing Yan, Xinyu Ou, Xiaohua Huang, Feng Xu, Xiaolan Fu. Micro-expression Recognition with Small Sample Size by Transferring Long-term Convolutional Neural Network [J]. Neurocomputing, 2018, 312(0): 251-226.

7.Fangbing Qu#, Su-Jing Wang#, Wen-Jing Yan, He Li, Shuhang Wu, Xiaolan Fu. CAS(ME)^2: A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition [J]. IEEE Transactions on Affective Computing, 2018, 9(4): 424-436.

8.Mingyue Niu, Ya Li, Jianhua Tao, Su-Jng Wang. Micro-Expression Recognition Based on Local Two-Order Gradient Pattern [C]. Proceedings of the First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), 2018, 1-6.

9.Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang. Facial Micro-Expressions Grand Challenge 2018 Summary [C]. Proceedings of the 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018, 675-678.

10.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.

11.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.

12.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.

13.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.

14.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.

15.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.

16.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.

17.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.

18.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.

19.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

20.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

21.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

22.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.

23.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.

24.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.

25.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

26.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

27.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 Parkinson’s disease using fuzzy k-nearest neighbor approach. Expert Systems with Applications, 40(1), 263-271. doi: 10.1016/j.eswa.2012.07.014

28.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

29.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.

30.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.

31.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

32.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.

33.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.

34.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.

35.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

36.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.

37.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.

38.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

39.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

40.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.

41.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

42.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

43.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

44.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

45.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.

46.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.

47.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.

48.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.

49.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.

50.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.

51.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.

52.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.

53.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

54.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

55.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

56.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).

57.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.