2025年第七届全国自强模范

2023年度北京市自然科学奖二等奖（排名第一）

2022年度江西医学科技奖二等奖（排名第二）

2022年北京冬残奥会火炬手

2018年第八届吴文俊人工智能科学技术奖（自然科学类）一等奖（排名第一）

2016年北京市残疾人自强模范

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

1. Su-Jing Wang*, Yu-Han Miao, Jingting Li, Ling Zhou, Zizhao Dong, Mengyi Sun, and Xiaolan Fu. Micro-Expression Key Frame Inference. IEEE Transactions on Affective Computing. 16(3), 1955-1969, 2025. doi:10.1109/TAFFC.2025.3548284.

2. Jingting Li, Shaoyuan Lu, Yan Wang, Zizhao Dong, Su-Jing Wang*, and Xiaolan Fu. Could Micro-Expressions Be Quantified? Electromyography Gives Affirmative Evidence. IEEE Transactions on Affective Computing. 16(4), 2959-2974, 2025. doi:10.1109/TAFFC.2025.3575127.

3. Jingting Li, Yu Qian, Lin Zhao and Su-Jing Wang*. FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling, In Proceedings of International Conference on Computer Vision 2025.

4. 李婧婷，赵琳，东子朝，王甦菁*.（2025）. 面向实际应用的微表情分析：从数据采集到智能部署. 心理科学进展.

5. Jingting Li, Haoliang Zhou, Yu Qian, Zizhao Dong, and Su-Jing Wang*. Micro-Expression Recognition Using Dual-View Self-Supervised Contrastive Learning with Intensity Perception. Neurocomputing 619. 129142, 2025. doi:10.1016/j.neucom.2024.129142.

6. Jingting Li, Su-Jing Wang*, Yong Wang, Haoliang Zhou, and Xiaolan Fu. Parallel Spatiotemporal Network to Recognize Micro-Expression. Neurocomputing 636. 129891, 2025. doi:10.1016/j.neucom.2025.129891.

7. Jingting Li, Keyi Feng, Xingran Zhao, and Su-Jing Wang*. Synthetic Dysarthric Speech: A Supplement, Not a Substitute for Authentic Data in Dysarthric Speech Recognition, In Proceedings of the Interspeech 2025.

8. Yan Wang, Mengyi Sun, Xinchen Kang, Ming Gao, and Su-Jing Wang. CDSD: Chinese Dysarthria Speech Database. In Kos, Greece, 4109–13, 2024.

9. Qin Sun, Yunqi Hu, Mingming Fan, Jingting Li, and Su-Jing Wang. “Can It Be Customized According to My Motor Abilities?”: Toward Designing User-Defined Head Gestures for People with Dystonia. In Proceedings of the CHI Conference on Human Factors in Computing Systems, Honolulu HI USA: ACM, 1–11, 2024. doi:10.1145/3613904.3642378.

10. 王甦菁*, 王俨, 李婧婷, 东子朝, 张建行, & 刘烨. (2024). 微表情面部肌电跨模态分析及标注算法. 心理科学进展, 32(1), 1-13.

11. Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, and Su-Jing Wang. MEGC2023: ACM Multimedia 2023 ME Grand Challenge. In Proceedings of the 31st ACM International Conference on Multimedia, Ottawa ON Canada: ACM, 9625–29, 2023. doi:10.1145/3581783.3612833.

12. Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, and Su-Jing Wang. FME ’23: 3rd Facial Micro-Expression Workshop. In Proceedings of the 31st ACM International Conference on Multimedia, Ottawa ON Canada: ACM, 9736–38, 2023. doi:10.1145/3581783.3610948.

13. Haoliang Zhou, Shucheng Huang, Jingting Li, and Su-Jing Wang. Dual-ATME: Dual-Branch Attention Network for Micro-Expression Recognition. Entropy. An International and Interdisciplinary Journal of Entropy and Information Studies 25(3), 2023. doi:10.3390/e25030460.

14. Jianhang Zhang, Shucheng Huang, Jingting Li, Yan Wang, Zizhao Dong, and Su-Jing Wang. A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition. Sensors 23(21), 2023. doi:10.3390/s23218758.

15. Xingpeng Yang, Henian Yang, Jingting Li, and Su-Jing Wang*. Simple but Effective In-the-Wild Micro-Expression Spotting Based on Head Pose Segmentation. In Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis, Ottawa ON Canada: ACM, 9–16, 2023. doi:10.1145/3607829.3616445.

16. Jingting Li, Zizhao Dong, Shaoyuan Lu, Su-Jing Wang*, Wen-Jing Yan, Yinhuan Ma, Ye Liu, Changbing Huang, and Xiaolan Fu*. CAS(ME)³: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2782–2800, 2023. doi:10.1109/TPAMI.2022.3174895.

17. 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.

18. 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.

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

20. 李婧婷, 东子朝, 刘烨, 王甦菁*, &庄东哲*. (2022). 基于人类注意机制的微表情检测方法. 心理科学进展，30(10).

21. 鲁绍愿，李婧婷，东子朝，王港，李振，马崟桓，王甦菁，&庄东哲*. (2022). 一项实证研究:高风险场景下微表情的高暴露可能性. 中国人民公安大学学报(自然科学版)(03), 23-31.

22. 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.

23. 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).

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 王甦菁, 邹博超, 刘瑞, 李振, 赵国朕, 刘烨, 傅小兰. 隐藏情绪分析与识别方法 [J]. 心理科学进展, 2020, 28(9): 1426-1436.

31. 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.

32. 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.

33. 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.

34. 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.

35. 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.

36. 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.

37. 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. 

38. 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.

39. 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.

40. 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.

41. 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.

42. 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.

43. 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.

44. 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.

45. 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.

46. 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.

47. 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.

48. 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.

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51. 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

52. 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.

53. 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.

54. 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.

55. 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

56. 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

57. 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

58. 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

59. 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.

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61. 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

62. 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.

63. 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.

64. 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.

65. 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

66. 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.

67. 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.

68. 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

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