Brief CV
Su-Jing Wang Ph.D
Micro-Expression Laboratory (MeLab) Institute of Psychology, Chinese Academy of Sciences

[Interest] [Education] [Award] [Activity] [Publication] [Selected Media Coverage]

Research Interests and Statements

I encountered the television series Lie to Me, which is based on the work of Professor Paul Ekman and explores the identification of deception through the observation of micro-expressions. I adopted a multidisciplinary approach to my research: from a psychological perspective, I investigated the mechanisms of lying and the generation of micro-expressions to validate their efficacy in lie detection; simultaneously, from a computer science perspective, I focused on constructing micro-expression datasets and developing various algorithms for automatic detection and recognition. Furthermore, as a person with disabilities, I am also interested in Accessible Computing and the mental health of individuals with disabilities.

Education

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Award & Honor

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Activities

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Projections

The research on micro-expression data annotation problem based on cross-modal analysis of facial expression and fEMG. Supported by the National Natural Science Foundation of China, Grant 62276252, Jan 2023-Dec 2026, Principal researcher.

Research on concealed emotion analysis and recognition method for social security. Supported by the National Natural Science Foundation of China, Grant U19B2032, Jan 2020-Dec 2023, Principal researcher.

Micro-expression detection and recognition based on deep learning, Supported by the National Natural Science Foundation of China, Grant 61772511, Jan 2018-Dec 2021, Principal researcher. 

Micro-expression Recognition Based on Sparse Tensor, Supported by the National Natural Science Foundation of China, Grant 61379095, Jan 2014-Dec 2017, Principal researcher.

Micro-expression Recognition Based on Sparse Tensor and Deep Learning, Supported by Beijing Natural Science Foundation, Grant 4152055, Jan 2015 - Jun 2017, Principal researcher.

Tensor Presentation and Feature Extraction of Color Micro-expression Video, Supported by the China Postdoctoral Science Foundation, Grant 2012M520428, Aug 2012-Aug 2014, Principal researcher.

Sparse Presentation of Color Micro-expression Video, Supported by the Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University. Grant 93K172013K04, Jan 2013-Dec 2014, Principal researcher.

Texture Extraction and Sparse Presentation of Color Micro-expression Video, Supported by the National Laboratory of Pattern Recognition. Grant 201306295, Jan 2014-Dec 2015, Principal researcher.

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Publications {GoogleScholar}

• Lin Zhao, Jingting Li*, Ye Liu, Junchi Ma, Su-Jing Wang. Differences in Emotion Recognition Capabilities Between Humans and Multimodal Large Language Models for Spliced Faces [J]. Acta Psychologica Sinica. (in Chinese with English abstract) DOI:10.3724/SP.J.1041.2026.025.
• Ailian Li, Jingting Li, Su-Jing Wang, Ye Liu*. Facial Expression Features of Deception in Dynamic Naturalistic Social Interactions [C]. Proceedings of the 2026 International Conference on Automatic Face and Gesture Recognition (FG).
• Lin Zhao, Jingting Li*, Zizhao Dong, Yu Qian, Su-Jing Wang*. Investigating the Relationship Between Micro-Expressions and Cognitive Load via a Novel Maze Paradigm [C]. Proceedings of the 2026 International Conference on Automatic Face and Gesture Recognition (FG).
• Bernard Dan, Peter Rosenbaum, Lucinda Carr, Martin Gough, John Coughlan, Nonyelum Nweke. Updated description of cerebral palsy (Chinese version) [J]. Developmental Medicine & Child Neurology. 2026. 1-10. DOI:10.1111/dmcn.70258. Chinese version translator: Guo-Rong WEi, Xiu-Ying Zhao, Ren-Xiu Huang, Deng-Na Zhu, Shu-Xiang Hu, Ji-Hong Hu, Qiu Wang, Lin Feng, Nian-Nian Lin, Tao Yang, Xu Luo, Su-Jing Wang.
• Tingting Song, Liangyue Han, Yunfei Bi, Jingting Li, Mingming Fan, Yan Wang, Ranran Hao, Su-Jing Wang*, Xiaolan Fu. How They Type: Eye and Finger Movement Strategies in Typing of Individuals with Cerebral Palsy [C]. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26). 2026. 1-13. DOI:10.1145/3772318.3791184. ACM CHl Best Paper Award(Top~1%)
• Xinran Zhao, Bai Liu, Xiaokang Liu, Xixin Wu, Nan Yan, Su-Jing Wang*. Research progress and trends of intelligent speech technology in dysarthria [J]. Artificial Intelligence View, 2025, (05): 1-19. (in Chinese) DOI:10.16453/j.2096-5036.202542
• Xinqi Fan, Jingting Li, John See, Moi Hoon Yap, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang, Adrian K. Davision. MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering [C]. Proceedings of the 33rd ACM International Conference on Multimedia (MM '25). 2025. 13951-13956. DOI:10.1145/3746027.3762065
• Jingting Li, Keyi Feng, Xinran Zhao, Yan Wang, Su-Jing Wang*. Synthetic Dysarthric Speech: A Supplement, Not a Substitute for Authentic Data in Dysarthric Speech Recognition [C]. Proceedings of Interspeech 2025. 2025. 2755-2759. DOI:10.21437/Interspeech.2025-1174
• Jingting Li, Shaoyuan Lu, Yan Wang, Zizhao Dong, Su-Jing Wang*, Xiaolan Fu. Could Micro-Expressions be Quantified? Electromyography Gives Affirmative Evidence [J]. IEEE Transactions on Affective Computing. 2025. 16(4): 2959-2974. DOI:10.1109/TAFFC.2025.3575127
• Jingting Li, Yu Qian, Lin Zhao, Su-Jing Wang*. FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling [C]. Proceedings of the IEEE/CVF International Conference on Computer Vision. 2025. p: 14453-14463. DOI:"10.1109/ICCV51701.2025.01341
• Jingting Li, Su-Jing Wang*, Yong Wang, Haoliang Zhou, Xiaolan Fu. Parallel Spatiotemporal Network to recognize micro-expression [J]. Neurocomputing. 2025. 636: 129891. DOI:10.1016/j.neucom.2025.129891
• Jingting Li, Haoliang Zhou, Yu Qian, Zizhao Dong, Su-Jing Wang*. Micro-expression recognition using dual-view self-supervised contrastive learning with intensity perception [J]. Neurocomputing. 2025. 619: 129142. DOI:10.1016/j.neucom.2024.129142
• Zizhao Dong, Jingting Li, Su-Jing Wang, Gongxiang Chen. Electromyography-Based Intentional-Deception Behavior Analysis in an Interactive Social Context: Statistical Analysis and Machine Learning [C]. Proceedings of 8th International Conference on Cognitive Computing. 2024. 51=67. DOI:10.1007/978-3-031-77954-1_4
• Su-Jing Wang, Yu-Han Miao, Jingting Li, Ling Zhou, Zizhao Dong, Mengyi Sun, Xiaolan Fu. Micro-Expression Key Frame Inference [J]. IEEE Transactions on Affective Computing. 2025. 16(3): 1955-1969. DOI:10.1109/TAFFC.2025.3548284
• John See, Jingting Li, Adrian K Davison, Gen Bing Liong, Moi Hoon Yap, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang. MEGC2024: ACM Multimedia 2024 Facial Micro-Expression Grand Challenge [C]. Proceedings of the 32nd ACM International Conference on Multimedia. 2024. 11482-11483. DOI:/10.1145/3664647.3689140
• Qin Sun, Yunqi Hu, Mingming Fan, Jingting Li, Su-Jing Wang*. “Can It Be Customized According to My Motor Abilities?”: Toward Designing User-Defined Head Gestures for People with Dystonia [C]. Proceedings of the CHI Conference on Human Factors in Computing Systems. 2024. 1-11. DOI:10.1145/3613904.3642378
• Yan Wan, Mengyi Sun, Xinchen Kang, Ming Gao, Su-Jing Wang. CDSD: Chinese Dysarthria Speech Database [C]. Proceedings of Interspeech 2024. 2024. 4109-4113. DOI:10.21437/Interspeech.2024-1597
• Su-Jing Wang, Yan Wang, Jingting Li, Zizhao Dong, Jianhang Zhang, Ye Liu. Cross-modal analysis of facial EMG in micro-expressions and data annotation algorithm [J]. Advances in Psychological Science. 2024. 32(1): 1. DOI:10.3724/SP.J.1042.2024.00001
• Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang. MEGC2023: ACM Multimedia 2023 ME Grand Challenge [C]. Proceedings of the 31st ACM International Conference on Multimedia. 2023. 9625-9629. DOI:10.1145/3581783.3612833
• Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang. FME ’23: 3rd Facial Micro-Expression Workshop [C]. Proceedings of the 31st ACM International Conference on Multimedia. 2023 9736-9738. DOI:10.1145/3581783.3610948
• Xingpeng Yang, Henian Yang, Jingting Li, Su-Jing Wang*. Simple but Effective In-the-wild Micro-Expression Spotting Based on Head Pose Segmentation [C]. Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis. 2023. 9-16. DOI:10.1145/3607829.3616445
• Haoliang Zhou, Shucheng Huang, Jingting Li, Su-Jing Wang*. Dual-ATME: Dual-branch attention network for micro-expression recognition [J]. Entropy. 2023. 25(3): 460. DOI:10.3390/e25030460
• Jianhang Zhang, Shucheng Huang, Jingting Li, Yan Wang, Zizhao Dong, Su-Jing Wang*. A perifacial EMG acquisition system for facial-muscle-movement recognition [J]. Sensors. 2023. 23(21): 8758. DOI:10.3390/s23218758
• Jingting Li, Zizhao Dong, Lu Shaoyuan, Su-Jing Wang*, Yan Wen-Jing, Ma Yinhuan, Liu Ye, Huang Changbing, Fu Xiaolan*. CAS(ME)³: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023, 45(3): p. 2782-2800. DOI:10.1109/TPAMI.2022.3174895
• 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]. Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis. 2022. 11-17. DOI:10.1145/3552465.3555038
• 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. DOI:10.1145/3503161.3551570
• Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang, Adrian K. Davison, Yante Li, Zizhao Dong. MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge [C]. Proceedings of the 30th ACM International Conference on Multimedia. 2022. 7170-7174. DOI:10.1145/3503161.3551601
• Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiabai Li, Su-Jing Wang. FME '22: 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis [C]. Proceedings of the 30th ACM International Conference on Multimedia. 2022. 7397-7399. DOI:10.1145/3503161.3554777
• Xin Zhang, Siyuan Lu, Shui-Hua Wang, Xiang Yu, Su-Jing Wang, Lun Yao, Yi Pan, and Yu-Dong Zhang. Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture [J]. Journal of Computer Science and Technology. 2022. 37(2): 330-343. DOI:10.1007/s11390-020-0679-8
• Jingting Li, Zizhao Dong, Ye Liu, Su-Jing Wang*, Dongzhe* Zhuang. Micro-expression spotting method based on human attention mechanism [J]. Advances in Psychological Science, 2022. (in Chinese with English abstract)
• Jingting Li, Wang Ting, Su-Jing Wang*. Facial Micro-Expression Recognition Based on Deep Local-Holistic Network [J]. Applied Sciences, 2022, 12(9): 4643.
• Zizhao Dong, Wang Gang, Lu Shaoyuan, Jingting Li, Yan Wenjing, Su-Jing Wang*. Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face [J]. Frontiers in Psychology, 2022, 12:1664-1078.
• Qiongsi Lin, Zizhao, Qiuqiang Zheng, Su-Jing Wang*. The Effect of Facial Attractiveness on Micro-Expression Recognition [J]. Frontiers in Psychology. 2022. 13:959124. DOI:10.3389/fpsyg.2022.959124
• Xianye Ben; Yi Ren; Junping Zhang; Su-Jing Wang*; Kidiyo Kpalma; Weixiao Meng; 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. 2022, 44(9): p. 5826-5846. DOI:10.1109/TPAMI.2021.3067464
• Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang. FME'21: 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting [C]. Proceedings of the 29th ACM International Conference on Multimedia (MM '21). Association for Computing Machinery, New York, NY, USA, 5700-5701. DOI:10.1145/3474085.3478579
• Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang. MEGC2021: ACM Multimedia 2021 - Facial Micro-Expression (FME) Challenge [C]. Proceedings of the 29th ACM International Conference on Multimedia (MM '21).
• Zizhao Dong, Gang Wang, Shaoyuan Lu, Wen-Jing Yan, Su-Jing Wang*. A Brief Guide: Code for Spontaneous Expressions and Micro-Expressions in Videos [C]. ACM Multimedia 2021. ACM. 2011.
• Su-Jing Wang*, Ying He, Jingting Li, 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. DOI:10.1109/TIP.2021.3064258
• Su-Jing Wang, Bochao Zou, Rui Liu, Zhen Li, Guozhen Zhao, Ye Liu, Xiaolan Fu. Concealed emotion analysis and recognition method. Advances in Psychological Science [J], 2020, 28(9): 1426-1436. (in Chinese with English abstract)
• Liwei Zhang, Su-Jing Wang, Xianhua Duan. Fine-Grained Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition. Computer Engineering and Applications [J], 2020:1-9. (in Chinese with English abstract)
• Jingting Li, Su-Jing Wang*, Moi Hoon Yap, John See, Xiaopeng Hong, Xiaobai Li. MEGC2020 - The Third Facial Micro-Expression Grand Challenge, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina.
• Ying He, Su-Jing Wang*, Jingting Li, Moi Hoon Yap. Spotting Macro- and Micro-expression Intervals in Long Video Sequences, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina.
• Li-Wei Zhang, Jingting Li, Su-Jing Wang*, Xian-Hua Duan, Wen-Jing Yan, Hai-Yong Xie, Shu-Cheng Huang. Spatio-Temporal Fusion for Macro-and Micro-Expression Spotting in Long Video Sequences, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina.
• Su-Jing Wang,Bo Lin, Yong Wang, Tongqiang Yi, Bochao Zou, Xiang-wen Lyu. Action Units recognition based on Deep Spatial-Convolutional and Multi-label Residual network [J]. Neurocomputing, 2019, 359: 130-138.
• John See, Moi Hoon Yap, Jingting Li, Xiaopeng Hong, Su-Jing Wang. 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.
• Li J., Soladié C., Séguier R., Su-Jing Wang., 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.
• Xiaohua Huang, Su-Jng Wang, Xin Liu, Guoying Zhao, Xiaoyi Feng, Matti Pietikainen. 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.
• Ying He, Han-Bo Yang, Su-Jing Wang*. CDBV: A Driving Dataset With Chinese Characteristics From a Bike View [J]. IEEE Access, 2019, 7: 51714-51723.
• 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.
• Shui-Hua Wang, Yi-Ding Lv, Yuxiu Sui, Shuai Liu, Su-Jing Wang, Yu-Dong Zhang. Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling [J]. Journal of Medical Systems, 2018, 42(1): 2.
• Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang. Facial Micro-Expressions Grand Challenge 2018 Summary [C]. Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018, 675-678.
• 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), 2018, 1-6.
• Su-Jing Wang, Suhang Wu, Xingsheng Qian, Jingxiu Li, Xiaolan Fu. A main directional maximal difference analysis for spotting facial movements from long-term videos [J]. Neurocomputing, 2017, 230: 382-389.
• Su-Jing Wang, Shuhang Wu, Xiaolan Fu. A Main Directional Maximal Difference Analysis for Spotting Micro-expressions [C]. Workshop on Facial Informatics (WFI), in conjunction with the Asian Conference on Computer Vision (ACCV) 2016, Taipei, 2016.11.20-2016.11.24
• Su-Jing Wang, Wen-Jing Yan, Tingkai Sun, Guoying Zhao, Xiaolan Fu. Sparse tensor canonical correlation analysis for micro-expression recognition [J]. Neurocomputing, 2016, 214: 218-232.
• Fangbing Qu, Su-Jing Wang, Yan, Wen-Jing Yan, Xiaolan Fu. CAS(ME)²: A Database of Spontaneous Macro-expressions and Micro-expressions [C]. 18th International Conference, HCI International 2016, Toronto, ON, Canada, 2016.7.17-7.22.
• Hui-Ling Chen, Gang Wang, Chao Ma, Zhen-Nao Cai, Wen-Bin Liu, Su-Jing Wang. An Efficient Hybrid Kernel Extreme Learning Machine Approach for Early Diagnosis of Parkinson's Disease [J]. Neurocomputing. 2014, 184:131-144. DOI:10.1016/j.neucom.2015.07.138
• Minjing Yu, Yong-Jing Liu, Su-Jing Wang, Qiufang Fu, Xiaolan Fu. A PMJ-inspired cognitive framework for natural scene categorization in line drawings [J]. Neurocomputing. 2016. 173: 2041-2048. DOI:10.1016/j.neucom.2015.09.046
• Yong-Jing Liu, Jin-Kai Zhang, Wen-Jing Yan, Su-Jing Wang, Guoying Zhao, Xiaolan Fu. A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition [J]. IEEE Transactions on Affective Computing. 2016. 7(4):299-310. DOI:10.1109/TAFFC.2015.2485205
• Xiaohua Huang, Su-Jing Wang, Guoying Zhao, Matti Pietikainen. Facial Micro-Expression Recognition using Spatiotemporal Local Binary Pattern with Integral Projection [C]. ICCV workshop on Computer Vision for Affective Computing, 2015. 1-9
• Su-Jing Wang, Wen-Jing Yan, Xiaobai Li, Guoying Zhao, Xiaolan Fu, Minghao Yang, Jianhia Tao. Micro-Expression Recognition Using Color Spaces [J]. IEEE Transactions on Image Processing. 2015. 24(12): 6034-6047. DOI:10.1109/TIP.2015.2496314
• Su-Jing Wang, Wen-Jing Yan, Guoying Zhao, Xiaolan Fu. Micro-expression Recognition using Robust Principal Component Analysis and Local Spatiotemporal Directional Features [C]. ECCV workshop on Spontaneous Facial Behavior Analysis, 2014, 296-305.
• Wen-Jing Yan, Su-Jing Wang, Yu-Hsin Chen, Guoying Zhao, Xiaolan Fu. Quantifying Micro-expressions with Constraint Local Model and Local Binary Pattern [C]. ECCV workshop on Spontaneous Facial Behavior Analysis, 2014, 325-338.
• Hui-Ling Chen, Bo Yang, Su-Jing Wang, Gang Wang, Da-You Liu, Huai-Zhong Li, Wen-Bin Liu. Towards an Optimal Support Vector Machine Classifier Using a Parallel Particle Swarm Optimization Strategy [J]. Applied Mathematics and Computation. 2014, 239:180-197. DOI:10.1016/j.amc.2014.04.039.
• Su-Jing Wang, Wen-Jing Yan, Xiaobai Li, Guoying Zhao, Xiaolan Fu. Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space [C]. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014, 4678-4683.
• Su-Jing Wang, Shuicheng Yan, Jian Yang, Chun-Guang Zhou, Xiaolan Fu. A General Exponential Framework for Dimensionality Reduction [J]. IEEE Transactions on Image Processing. 2014. 23(2): 920-930. DOI:10.1109/TIP.2013.2297020
• Wen-Jing Yan, Su-Jing Wang, Yong-Jing Liu, Qi Wu, Xiaolan Fu. For Micro-expression Recognition: Database and Suggestions [J]. Neurocomputing. 2014. 139:82-87. DOI:10.1016/j.neucom.2014.01.029.
• Wen-Jing Yan, Xiaobai Li, Su-Jing Wang, Guoying Zhao, Yong-Jng Liu, Yu-Hsin Chen, Xiaolan Fu. CASME II: An Improved Spontaneous Micro-expression Database and the Baseline Evaluation [J]. PLoS ONE. 2014.9(1): e86041. DOI:10.1371/journal.pone.0086041
• Su-Jing Wang, Hui-Ling Chen, Wen-Jing Yan, Yu-Hsin Chen, Xiaolan Fu. Face Recognition and Micro-expression Recognition based on Discriminant Tensor Subspace Analysis plus Extreme Learning Machine [J]. Neural Processing Letters. 2014. 39 (1): 25-43. DOI:10.1007/s11063-013-9288-7
• Su-Jing Wang, Chun-Guang Zhou, Xiaolan Fu. Fusion Tensor Subspace Transformation Framework [J]. Plos One. 2013. 8(7): e66647. DOI:10.1371/journal.pone.0066647
• Wen-Jing Yan, Qi Wu, Yong-Jin Liu, Su-Jing Wang, Xiaolan Fu. CASME Database: A Dataset of Spontaneous Micro-Expressions Collected From Neutralized Faces [C]. The 10th IEEE Conference on Automatic Face and Gesture Recognition, 2013: Shanghai, China. p.1-7.

2012 year ago

• Su-Jing Wang, Ming-Fang Sun, Yu-Hsin Chen, Er-Ping Pang, Chun-Guang Zhou. STPCA: Sparse Tensor Principal Component Analysis for Feature Extraction [C]. 21st International Conference on Pattern Recognition (ICPR 2012). Tsukuba, Japan. 2278-2281
• Su-Jing Wang, Jian Yang, Ming-Fang Sun, Xu-Jun Peng, Ming-Ming Sun, Chun-Guang Zhou. Sparse Tensor Discriminant Color Space for Face Verification [J]. IEEE Transactions on Neural Networks and Learning Systems. 2012. 23(6): 876-888. DOI:10.1109/TNNLS.2012.2191620.
• Su-Jing Wang, Jian Yang, Na Zhang, Chun-Guang Zhou. Tensor Discriminant Color Space for Face Recognition [J]. IEEE Transactions on Image Processing. 2011. 20(9): 2490-2501. DOI:10.1109/TIP.2011.2121084
• Su-Jing Wang, Hui-Ling Chen, Xu-Jun Peng, Chun-Guang Zhou. Exponential locality preserving projections for small sample size problem [J]. Neurocomputing. 2011. 74(17):3654-3662. DOI:10.1016/j.neucom.2011.07.007
• Su-Jing Wang, Chun-Guang Zhou, Yu-Hsin Chen, Xu-Jun Peng, Hui-Ling Chen, Gang Wang, Xiaohua Liu. A novel face recognition method based on sub-pattern and tensor [J]. Neurocomputing.2011. 74(17):3553-3564. DOI:10.1016/j.neucom.2011.06.017.
• Su-Jing Wang, Chun-Guang Zhou, Na Zhang, Xu-Jun Peng, Yu-Hsin Chen, Xiao-Hua Liu. Face Recognition using Second Order Discriminant Tensor Subspace Analysis [J]. Neurocomputing, 2011. 74(12-13): p. 2142-2156. DOI:10.1016/j.neucom.2011.01.024 .
• Su-Jing Wang, Chun-Guang Zhou, Na Zhang, Jian-Peng Li, Li-biao Zhang. A Estimating Age Method by Extracting Facial Features of Shapes and Textures [J]. Journal of Jilin University (Engineering and Technology Edition). 2011, 41(5): p.1383-1387 (in Chinese with English abstract).
• Su-Jing Wang, Na Zhang, Xu-Jun Peng, Chun-Guang Zhou. Two-dimensional locality preserving projection based on Maximum Scatter Difference [J]. Journal of Information and Computational Science. 2011. 8(3): p.484-494.
• Su-Jing Wang, Chun-Guang Zhou, Ming-Fang Sun, Hui-Ling Chen, Xiao-Hua Liu, Xu-Jun Peng. Can Estimate Age Range Using 'a Face a Person'? [J]. Journal of Computational Information Systems. 2011. 7(13): p.4586-4593.
• Su-Jing Wang, Cheng-Cheng Jia, Hui-Ling Chen, Chun-Guang Zhou. Matrix Exponential LPP for Face Recognition [C]. The First Asian Conference on Pattern Recognition. 2011. p.189-193.
• Su-Jing Wang, Na Zhang, Ming-Fang Sun, Chun-Guang Zhou. The analysis of parameters t and k of LPP on several famous face databases [C]. Proceedings of the Second International Conference on Swarm Intelligence. 2011. p.333-339. DOI:10.1007/978-3-642-21524-7_40
• Chun-Guang Zhou, Ming-Fang Sun, Su-Jing Wang, Qian Chen, Xiao-Hua Liu, Yu-Hao Liu. Face image feature extraction method Based on sparse tensor [J]. Journal of Jilin University (Engineering and Technology Edition). 2012. 42(6): p.1521-1526. (in Chinese with English abstract).
• Cheng-Cheng Jia, Su-Jing Wang, Xu-Jun Peng, Wei Pang, Can-Yan Zhang, Chun-Guang Zhou, Zhe-Zhou Yu. Incremental multi-linear discriminant analysis using canonical correlations for action recognition [J]. Neurocomputing. 2012. 83(16): p. 56-63. DOI:10.1016/j.neucom.2011.11.006.
• Hui-Ling Chen, Bo Yang, Gang Wang, Su-Jing Wang, Jie Liu, Da-You Liu. Support vector machine based diagnostic system for breast cancer using swarm intelligence [J]. Journal of Medical Systems. 2012, 36(14): p.2505-2519. DOI: 10.1007/s10916-011-9723-0
• Qian Chen, Su-Jing Wang, Xiao-Hua Liu, Lei Gao, Chun-Guang Zhou. A fast iris localization method [J]. Journal of Jilin University (Science Edition). 2011, 49(06): p.1095-1100 (in Chinese with English abstract).
• Xiao-Hua Liu, Na Shi, Su-Jing Wang, Chun-Ling Li, Image segmentation of homogeneous photometric characteristics objects under complex background clutter[J]. Journal of Jilin University (Science Edition). 2011, 49(05): p.901-905 (in Chinese with English abstract).
• Hui-Ling Chen, Bo Yang, Gang Wang, Jie Liu, Xin Xu, Su-Jing Wang, Da-You Liu. A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method [J]. Knowledge-Based Systems. 2011, 24(8): p. 1348-1359. 10.1016/j.knosys.2011.06.008.
• Ming-Fang Sun, Su-Jing Wang, Xiao-Hua Liu, Cheng-Cheng Jia, Chun-Guang Zhou. Human Action Recognition Using Tensor Principal Component Analysis [C]. Proceedings of the 4th IEEE International Conference on Computer Science and Information Technology. 2011, p.487-491.
• Yuan-Ning Liu, Gang Wang, Hui-Ling Chen, Hao Dong, Xiao-Dong Zhu, Su-Jing Wang. An Improved Particle Swarm Optimization for Feature Selection [J]. Journal of Bionic Engineering. 2011, 8(2):191-200. DOI:10.1016/S1672-6529(11)60020-6.
• Hui-Ling Chen, Da-You Liu, Bo Yang, Jie Liu, Gang Wang and Su-Jing Wang. An Adaptive Fuzzy k-Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction [C]. PAKDD 2011, Part I, LNAI 6634, p. 249-264. DOI:10.1007/978-3-642-20841-6_21
• Su-Jing Wang, De-Cai Zhang, Cheng-Cheng Jia, Na Zhang, Chun-Guang Zhou, Li-Biao Zhang. A Sign Language Recognition Based on Tensor [C]. Proceedings of the Second International Conference on MultiMedia and Information Technology (MMIT 2010). 2010. p. 192-195.
• Su-Jing Wang, Zhen Chen, Dong-Jing Wang. An Algorithm based on Concept-Matrix for Building Concept Lattice with Hasse [C]. Proceedings of 2007 International Conference on Wireless Communications, Networking and Mobile Computing, September 21-25, 2007: 5588-5591.
• Su-Jing Wang, Zhen Chen. Algorithm for mining association rules based concept lattice [J]. Computer Engineering and Applications. 2007, 43(28):157-161. (in Chinese with English abstract)
• Zhen Chen, Su-Jing Wang, Chun-Guang Zhou, Huan-Huan Cao. Human skin color model using BP networks [J]. Computer Engineering and Applications. 2008, 44(14):166-168 (in Chinese with English abstract)
• Cheng-Cheng Jia, Su-Jing Wang, Chun-Guang Zhou, Cai-Tang Sun, Li-Biao Zhang. Tensor analysis and multi-scale features based multi-view human action recognition [C]. Proceedings of the 2nd International Conference on Computer Engineering and Technology (ICCET2010). 2010. p. V4-60-V4-64.
• Qing Xia, Su-Jing Wang, Zhen Chen, Tao Lv, Dong-Jing Wang. ARCA: An Algorithm for Mining Association Rules based Concept Lattice [C]. Proceedings of 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008. October 12-14, 2008: 1-5.
• Li-Biao Zhang, Xiang-Li Xu, Su-Jing Wang, Chun-Guang Zhou, Cai-Tang Sun. Environmental/Economic Dispatch using a improved Differential Evolution [C]. Proceedings of the 2nd International Conference on Computer Engineering and Technology (ICCET2010). 2010. p. V4-55-V4-59.
• Li-Biao Zhang, Xiang-Li Xu, Su-Jing Wang, Ming Ma, Chun-Guang Zhou, Cai-Tang Sun. Solved Environmental/Economic Dispatch Based on Multi-objective PSO [C]. Proceedings of 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA2010). 2010. p. 352-355.
• De-Cai Zhang, Chun-Guang Zhou, Qiang Zhou, Shu-Zhen Chi, Su-Jing Wang. Hole-Filling Algorithm Based on Contour [J]. Journal of Jilin University (Science Edition). 2011. 49(1):82-86. (in Chinese with English abstract)
• Na Zhang, Zhen Chen, Bin Chen, Tao Lv, Su-Jing Wang. Application of Agent Technology in Transportation Hub Simulation System [J]. Journal of Transport Information and Safety. 2009. 27(02): p. 104-106. (in Chinese with English abstract)
• Zhen Chen, Na Zhang, Su-Jing Wang. New Algorithm of Generating Concept Lattice Based on Concept-Matrix [J]. Computer Science, 2010(09): p. 180-183. (in Chinese with English abstract)

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 Selected Media Coverage

The article from Beijing Daily, 2025 (Native)

China  Science Daily, 2020 (Native)

Science and Technology Daily, 2018 (Native)

Face to Face. Phoenix TV, 2018 (Youtube, Youku)

Life code. Phoenix TV (Youtube)

Cover Story on the Magazine China Postdoctors (Native)

Our Heroes. Beijing TV, 2013

Wang Sujing: the 'Chinese Stephen Hawking'. China.org.cn, 2012

The broadcast video from the Jilin University Television, 2009 (Native)

The broadcast video from the Jilin Television, 2012 (Native)

The broadcast video from the News Channel at Beijing Television, 2012 (Native)

The broadcast video from the Finance Channel at Beijing Television, 2012 (Native)

The article from Beijing Daily, 2012 (Native)

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Last Modified:   May 4, 2026