Brief CV


Su-Jing Wang  
Institute of Psychology, Chinese Academy of Sciences
Visual Information Processing and Learning Laboratory


Mail: Su-Jing Wang Office: Room 314, South Building, Institute of Psychology, Chinese Academy of Sciences
  Room 314, South Building Tel: +86-010-6487-5971
  Institute of Psychology, Chinese Academy of Sciences URL:
  16 Lincui Road, Chaoyang District, Beijing 100101, China Email: wangsujing at psych dot ac dot cn or wangsj dot jlu at gmail dot com

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

Research Interests and Statements

Research on face recognition has had a revival in recent years. This is largely due to the need for robust face recognition technologies for consumers to tag digital photos and facilitate their organization and online sharing. Face recognition in consumer digital imaging suffers from multiple factors such as uncontrolled lighting, large pose variation, a range of facial expressions, make-up, and severe partial occlusions, etc. These factors can be modeled by constructing a multi-linear structure based on a high-order tensor. In the other hand, many researches proved the high dimensional facial image lies on a low dimensional manifold structure. I will devote myself to find the low dimensional manifold structure of the facial image tensor representations. Recently, spare representation is a hot topic in pattern recognition. It has a good performance on image alignment, dimensional reduction, etc. I will use spare representation on my further research. I hope that it can obtain better performance on the uncontrolled face recognition.  Meanwhile, I also focus on age estimation,  action recognition, iris recognition and multimodal biometric identification. I enjoy the above research.


Ph.D. College of Computer Science and Technology, Jilin University, China 2008-2012
  Supervisor: Prof. Chun-Guang Zhou  
  Dissertation: Tensor Subspace on Manifold for Face Recognition, (in Chinese)  
M.Sc. College of Software, Jilin University, China 2005-2007
  Supervisor: Prof. Zhen Chen  
  Dissertation: Research the Application of Concept Lattice in Data Mining. (in Chinese)  
B.Sc. Department Computer Science, Huaihai Institute of Technology, China 1999-2002
  (Excellent Student of Huaihai Institute of Technology) 2001

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Award & Honor

  IBM Chinese Outstanding Students Scholarship 2011
  Twenty-fifth Graduate “Elite Cup” Academic Achievements Contest First Prize of Jilin University 2011
  The Second Scholarship for Excellent Postgraduate Student of Jilin University 2009
  Excellent Postgraduate Student of Jilin University 2009
  The Role Models for the Handicapped in Lianyungang City 2005
  Productive Worker of Jiangsu 2004
  Jiangsu Province Computer Contest First Prize for Handicapped People 2002
  The Spiritual Role Model in Jiangsu Province 2001
  “Ten Outstanding Youths” of Lianyungang City 2001
  Productive Worker of Lianyungang City 2001
  The National Self-educated Workers and Staff Award 2000
  Jiangsu Province Computer Contest First Prize for Handicapped People 2000
  The Self-educated Workers and Staff of Jiangsu Award 1999
  The Top Ten Role Models in Lianyungang City 1999
  The Top-notch Innovative Talents of Guanyun County 1999
  The First National College Computer Competition Finals Memorial Award 1997
  Excellent Graduate Student of Jiangsu Radio & TV University 1997
  Lianyungang City Computer Applications Contest Third Prize 1995
  The Best Youths of Guanyun County 1993

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Associate editor  
  Neurocomputing (elsevier) 2014-
Guest editor  
  Journal of Computational Science (elsevier) 2014-2017, Special Issue on Intelligent Computational Techniques
Conference Activity  
  ACCV 2016 Workshop on Facial Informatics, Organising Committee
  ECCV 2014 Workshop, Program Committee
  One of Ten Selectees of the Doctoral Consortium at International Joint Conference on Biometrics 2011
  Optics Express
  Neural Computing and Applications (springer)
  IEEE Transactions on Circuits and Systems for Video Technology (with Prof. Chun-Guang Zhou)
  IEEE Transactions on Image Processing
  Journal International Journal of Machine Learning and Cybernetics (springer)
  Neurocomputing (elsevier)
  IEEE Transactions on Pattern Analysis and Machine Intelligence
  Chemometrics and Intelligent Laboratory Systems (elsevier)(with Prof. Chun-Guang Zhou)
  Pattern Recognition Letters (elsevier)
  IEEE Signal Processing Letters
  Knowledge-based Systems (elsevier)
  IEEE Transactions on Neural Networks
  Neural Processing Letters (springer)
  IEEE Transactions on Systems, Man, and Cybernetics, Part B (with Hui-Ling Chen)

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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}


Qu Fangbing,Wang Su-Jing, Yan Wen-Jing,Li He,Wu Shuhang, Fu Xiaolan. CAS(ME)^2: A Database for Spontaneous Macro-expression and Micro-expression Spotting and Recognition,IEEE Transactions on Affective Computing,2017.99:1~1

Wang Su-Jing ,Wu Suhang,Qian Xingsheng,Li Jingxiu,Fu Xiaolan,A main directional maximal difference analysis for spotting facial
movements from long-term videos


Wang, Su-Jing ,Wu, Shuhang,Fu, Xiaolan. A Main Directional Maximal Difference Analysis for Spotting Micro-expressions,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, Sun Tingkai, Guoying Zhao and Xiaolan Fu, Sparse tensor canonical correlation analysis for micro-expression recognition, 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, 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. 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. 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. 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. 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. IEEE Transactions on Image Processing. 2015. 24(12): 6034-6047. DOI:10.1109/TIP.2015.2496314


Su-Jing Wang, Wen-Jing Yan, Guoying Zhao and Xiaolan Fu.  Micro-expression Recognition using Robust Principal Component Analysis and Local Spatiotemporal Directional Features. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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.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. 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. 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. 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. 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. 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. 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. Journal of Information & 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'?. 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. 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. In: 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 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. 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. 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. 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. 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. Knowledge-Based Systems, 2011. 24(8): p. 1348-1359. DOI: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. In: 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. 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. 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. In: 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. In: 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. 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. 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, In: 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. In: 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, In: 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, In: Proceedings of  the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA2010) . p. 352-355.

De-Cai Zhang, Chun-Guang Zhou, Qiang Zhou, Shu-Zhen Chi, Su-Jing Wang, Hole-Filling Algorithm Based on Contour. 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. 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. Computer Science, 2010(09): p. 180-183. (in Chinese with English abstract)

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 Selected Media Coverage

Cover Story on the Magazine China Postdoctors (Native)

Our Heroes. Beijing TV, 2013

Wang Sujing: the 'Chinese Stephen Hawking'., 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:   March 13, 2017

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