2023.01-今   中國殘疾人康復協(xié)會(huì )康復工程與輔助技術(shù)專(zhuān)業(yè)委員會(huì )委員

2023.01-今   中國康復醫學(xué)會(huì )兒童康復專(zhuān)業(yè)委員會(huì )理事

2022.08-今   中國社會(huì )工作聯(lián)合會(huì )康復醫學(xué)工作委員會(huì )委員

2022.04-2022.10  Pattern Recognition Letters期刊客座編輯
2022.04-今  殘疾人事業(yè)發(fā)展研究會(huì )理事
2021.05-今  中國圖象圖形學(xué)學(xué)會(huì )情感計算專(zhuān)業(yè)委員會(huì )常務(wù)委員
2019.09-今  中國計算機學(xué)會(huì )人機交互專(zhuān)業(yè)委員會(huì )委員
2017.10-今  中國圖象圖形學(xué)學(xué)會(huì )機器視覺(jué)專(zhuān)業(yè)委員會(huì )委員
2017.09-今  中國人工智能學(xué)會(huì )人工心理與人工情感專(zhuān)業(yè)委員會(huì )委員
2016.09-今  中國計算機學(xué)會(huì )計算機視覺(jué)專(zhuān)業(yè)委員會(huì )委員
2014.02-今  Neurocomputing編委
2016-2017  Journal of Computational Science 期刊客座編輯

2018年第八屆吳文俊人工智能科學(xué)技術(shù)獎（自然科學(xué)類(lèi)）一等獎（排名第一）

2016年北京市殘疾人自強模范

2014年吉林省優(yōu)秀博士學(xué)位論文

2014年吉林大學(xué)優(yōu)秀博士學(xué)位論文

2013年獲得“北京榜樣”提名獎

2013年獲得新華社“中國網(wǎng)事•感動(dòng)2012”年度人物

2013年獲得“感動(dòng)吉林”2012年度人物

2011年獲得IBM中國優(yōu)秀學(xué)生獎學(xué)金

2011年獲得吉林大學(xué)第二十五屆研究生“精英杯”學(xué)術(shù)成果大獎賽一等獎

2009年評為吉林大學(xué)2008-2009學(xué)年優(yōu)秀研究生

2009年獲得吉林大學(xué)2008-2009學(xué)年二等研究生優(yōu)秀獎學(xué)金

2005年授予江蘇省連云港市殘疾人自強模范

2004年江蘇省勞動(dòng)保障廳授予“江蘇省技術(shù)能手”稱(chēng)號決定

2002年獲得江蘇省殘疾人電腦比賽一等獎

2001年評為江蘇省精神文明建設新人新事

2001年評為淮海工學(xué)院優(yōu)秀學(xué)員

2001年評為江蘇省連云港市技術(shù)能手

2000年國家授予全國職工自學(xué)成才獎

2000年獲得江蘇省殘疾人電腦比賽一等獎

1999年評為江蘇省職工自學(xué)成才者

1999年評為江蘇省連云港市“十佳新人新事”

1999年評為江蘇省連云港市“第六屆連云港市十大杰出青年”

1999年評為江蘇省連云港市灌云縣縣級技術(shù)拔尖人才

1997年獲首屆全國大學(xué)生電腦大賽總決賽紀念獎

1997年評為江蘇省電大優(yōu)秀畢業(yè)生

1995年江蘇省連云港市微機使用大賽獲得第三名

1993年評為江蘇省連云港市灌云縣最佳青年

1. Jingting Li, Zizhao Dong, Shaoyuan Lu, Su-Jing Wang*, Wen-Jing Yan, Yinhuan Ma, Ye Liu, Changbing Huang, Xiaolan Fu*. CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity [J]. EEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

2. Chuin Hong Yap, Moi Hoon Yap, Adrian Davison, Connah Kendrick, Jingting Li, Su-Jing Wang, Ryan Cunningham. 3D-CNN for facial micro-and macro-expression spotting on long video sequences using temporal oriented reference frame [C]. Proceedings of the 30th ACM International Conference on Multimedia, 2022, 7016-7020.

3. Shaoyuan Lu, Jingting Li, Yan Wang, Zizhao Dong, Su-Jing Wang*, Xiaolan Fu. A More Objective Quantification of Micro-Expression Intensity through Facial Electromyography [C]. In Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting (ACM MM22), 2022, 11-17.

4. Jingting Li, Ting Wang, &Su-Jing Wang*.(2022). Facial Micro-Expression Recognition based on Deep Local-Holistic Network. Applied Sciences，12(9), 4643.

5. 李婧婷, 東子朝, 劉燁, 王甦菁*, &莊東哲*. (2022). 基于人類(lèi)注意機制的微表情檢測方法. 心理科學(xué)進(jìn)展，30(10).

6. 魯紹愿，李婧婷，東子朝，王港，李振，馬崟桓，王甦菁，&莊東哲*. (2022). 一項實(shí)證研究:高風(fēng)險場(chǎng)景下微表情的高暴露可能性. 中國人民公安大學(xué)學(xué)報(自然科學(xué)版)(03), 23-31.

7. Qiungsi Lin, Dong, Zizhao, Qiuqiang Zheng, Wang Su-Jing*. The effect of facial attractiveness on micro-expression recognition. Front Psychol. 2022 Sep 16;13:959124.

8. Dong, Zizhao, Wang Gang, Lu Shaoyuan, Li Jingting, Yan Wenjing, Wang Su-Jing*. Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face [J], Frontiers in Psychology, 2022(5808).

9. Dong, Zizhao, Wang Gang, Lu Shaoyuan, Yan Wenjing, Wang Su-Jing*. A Brief Guide: Code for Spontaneous Expressions and Micro-Expressions in Videos [C]. In Proceedings of the 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting (ACM MM21), 2021, 31-37.

10. Wang, Su-Jing*, Ying He, Jingting Li, and Xiaolan Fu. MESNet: A Convolutional Neural Network for Spotting Multi-Scale Micro-Expression Intervals in Long Videos [J]. IEEE Transactions on Image Processing, 2021, 30: 3956-3969.

11. Ben, Xianye, Yi Ren, Junping Zhang, Su-Jing Wang*, Kidiyo Kpalma, Weixiao Meng, and Yong-Jin Liu*. Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021: 1-1.

12. Zhang, Li-Wei, Jingting Li, Su-Jing Wang*, Xian-Hua Duan, Wen-Jing Yan, Hai-Yong Xie, Shu-Cheng Huang. 2020. Spatio-temporal fusion for Macro- and Micro-expression Spotting in Long Video Sequences [C]. Proceedings of the 15th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2020) , 2020, 1-5.

13. Li, Jingting, Su-Jing Wang*, Moi Hoon Yap, John See, Xiaopeng Hong, Xiaobai Li. 2020. MEGC2020 - The Third Facial Micro-Expression Grand Challenge [C]. Proceedings of the 15th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2020) , 2020, 1-5.

14. He Ying,Wang Su-Jing*, Li Jingting, Yap Moi Hoon. Spotting Macro-and Micro-expression Intervals in Long Video Sequences [C]. Proceedings of the 15th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2020) , 2020, 1-5.

15. 王甦菁, 鄒博超, 劉瑞, 李振, 趙國朕, 劉燁, 傅小蘭. 隱藏情緒分析與識別方法 [J]. 心理科學(xué)進(jìn)展, 2020, 28(9): 1426-1436.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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.

31. 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.

32. 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.

33. 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.

34. 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

35. 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

36. 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

37. 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.

38. 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.

39. 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.

40. 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

41. 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

42. 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

43. 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

44. 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.

45. 梁靜, 顏文靖, 吳奇, 申尋兵, 王甦菁, & 傅小蘭. (2013). 微表情研究的進(jìn)展與展望. 中國科學(xué)基金, 27(2), 75-78.

46. 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

47. 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.

48. 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.

49. 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.

50. 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

51. 周春光, 孫明芳, 王甦菁, 陳前, 劉小華, & 劉昱昊. (2012). 基于稀疏張量的人臉圖像特征提取方法. 吉林大學(xué)學(xué)報(工學(xué)版), 42(6), 1521-1526.

52. 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.

53. 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

54. 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

55. 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.

56. 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

57. 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

58. 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

59. 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

60. 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.

61. 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.

62. 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.

63. 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.

64. 陳前, 王甦菁, 劉小華, 高蕾, & 周春光. (2011). 一種快速的虹膜定位算法. 吉林大學(xué)學(xué)報(理學(xué)版), 49(06), 1095-1100.

65. 劉小華, 石娜, 王甦菁, & 李春玲. (2011). 復雜背景下同光度性質(zhì)物體的圖像分割. 吉林大學(xué)學(xué)報(理學(xué)版), 49(05), 901-905.

66. 王甦菁, 周春光, 張娜, 李建朋, & 張利彪. (2011). 一種基于形狀和紋理特征的人臉年齡估計方法. 吉林大學(xué)學(xué)報(工學(xué)版), 41(5), 1383-1387.

67. 張德才, 周春光, 周強, 池淑珍, & 王甦菁. (2011). 基于輪廓的孔洞填充算法. 吉林大學(xué)學(xué)報(理學(xué)版), 49(1), 82-86.

68. 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

69. 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

70. 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

71. 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).

72. 陳震, 張娜, & 王甦菁. (2010). 一種基于概念矩陣的概念格生成算法. 計算機科學(xué), 37(9), 180-183.