General

Prof. Shiguang Shan
Institute of Computing Technology, Chinese Academy of Sciences
Email: sgshan AT ict.ac.cn
Tel: +86 10 6260 0558 
Want to know more about me? Please visit the following:
Google: http://scholar.google.com/citations?hl=en&user=Vkzd7MIAAAAJ 
VIPL website: http://vipl.ict.ac.cn/people/~sgshan   
JDL website: http://www.jdl.ac.cn/user/sgshan/index_en.htm 

Research Areas

Shiguang Shan received M.S. degree in computer science from the Harbin Institute of Technology, Harbin, China, in 1999, and Ph.D. degree in computer science from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China, in 2004. After graduate, he joined ICT, CAS in 2002 and became a full Professor in 2010. He is now the deputy director of the Key Lab of Intelligent Information Processing of CAS. 


His research interests cover computer vision, pattern recognition, and machine learning (deep learning). He especially focuses on face recognition and vision-based mind-reading researches, and machine learning with little data or weakly-supervised data. He has published more than 200 papers in refereed journals and proceedings in the areas of computer vision and pattern recognition. He has served as Area Chair for many international conferences including ICCV11, CVPR19/20, FG13/18/20, ACCV12/16/18, ICPR12/14/20, ICASSP14, and BTAS18. He is(/was) Associate Editors of several international journals including IEEE Trans. on Image Processing, Computer Vision and Image Understanding, Neurocomputing, and Pattern Recognition Letters. He is a recipient of the China State Natural Science Award in 2015, and the China State S&T Progress Award in 2005 for his research work.


He is also personally interested in brain science, cognitive neuroscience, as well as their interdisciplinary researche topics with AI. 


Education

1999.09 – 2004.07 Ph.D candidate with Institute of Computing Technology, CAS
1997.09 – 1999.07 Master student with Computer College, Harbin Institute of Technology
1993.09 – 1997.07 Undergraduate with Computer College, Harbin Institute of Technology

Experience

   
Work Experience
2013.03-current Executive director of Key Lab of Intelligent Information Processing, Chinese Academy of Sciences
2010.11-current Professor with Institute of Computing Technology, CAS
2005.11-2010.10 Associate Professor with Institute of Computing Technology, CAS
2004.08-2005.10 Assistant Professor with Institute of Computing Technology, CAS
2002.08-2004.08 Research Associate with Institute of Computing Technology, CAS
Academic activities

  • Area Chair for ICCV2011, ACCV2012, FG2013, ICPR2014, ICASSP2014, ACCV2016, FG2018, BTAS2018, ACCV2018, CVPR2019
  • Associate Editor of Computer Vision and Image Understanding (2017-)
  • Associate Editor of Pattern Recognition Letters (2016-)
  • Associate Editor of IEEE Trans. on Image Processing (2013-2017)
  • Editor Board member of EURASIP Journal of Image and Video Processing (2013-)
  • Associate Member of Frontier of Computer Science in China (2013-)
  • Associate Editor of Neurocomputing (2012-2016)
  • Co-founder, Vision and Learning Seminar (VALSE) of Chinese Young Researchers (since 2011)

Honors & Distinctions


2018, a co-authored paper won ICME2008 Platinum Best Paper Award

2008, a co-authored paper won CVPR2008 Best Student Poster Award Runner-up

Publications

   
Papers

Journal papers:

[1] Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen, "Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework," IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2018.

[2] Zhiwu Huang, Ruiping Wang, Shiguang Shan*, Luc Van Gool, Xilin Chen. Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video. IEEE Trans. on Pattern Analysis and Machine Intelligence. (Accepted, 2017.11.15)

[3] Hu Han, Anil Jain, Fang Wang, Shiguang Shan, Xilin Chen. Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach. IEEE Trans. on Pattern Analysis and Machine Intelligence. (Accepted). 40(11), 2597-2609, Nov. 2018

[4] Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo. Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence. 38(12)2457 – 2471, 2016

[5] Meina Kan, Shiguang Shan, Haihong Zhang, Shihong Lao, and Xilin Chen. Multi-View Discriminant Analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence. 38(1):188-194, 2016.1

[6] Jinli Suo, Xilin Chen, Shiguang Shan, Wen Gao and Qionghai Dai. A Concatenational Graph Evolution Aging Model. IEEE Trans. on Pattern Analysis and Machine Intelligence. 34(11):2083-2096, 2012.11

[7] Ruiping Wang, Shiguang Shan, Xilin Chen, Jie Chen, Wen Gao. Maximal Linear Embedding for Dimensionality Reduction. IEEE Trans. on Pattern Analysis and Machine Intelligence. 33 (9), 1776 - 1792, 2011.9

[8] Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, Matti Pietikäinen, Xilin Chen, Wen Gao. WLD: A Robust Local Image Descriptor. IEEE Trans. on Pattern Analysis and Machine Intelligence. vol.32, no.9, 1705-1720, 2010.9

[9] Jinli Suo, Song-Chun Zhu, Shiguang Shan, Xilin Chen, "A Compositional and Dynamic Model for Face Aging," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 3, pp. 385-401, Mar. 2010

[10] Meina Kan, Junting Wu, Shiguang Shan*, Xilin Chen. Domain Adaptation for Face Recognition: Targetize Source Domain Images Bridged by Common Subspace (TSC). International Journal of Computer Vision: Volume 109, Issue 1 (2014), Page 94-109. 2014

[11] Wen Wang, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen, “Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 1, pp. 151-163, Jan. 2018

[12] Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen, “Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,” IEEE Transactions on Image Processing (TIP), vol. 25, no. 12, pp. 5920-5932, Dec. 2016. 

[13] Y Li, R Wang, Z Cui, S Shan, X Chen. Spatial Pyramid Covariance-Based Compact Video Code for Robust Face Retrieval in TV-Series. IEEE Transactions on Image Processing 25 (12), 5905-5919. 2016

[14] Shaoxin Li, Shiguang Shan, Shuicheng Yan, Xilin Chen. Relative Forest for Visual Attribute Prediction. IEEE Trans. on Image Processing. 25 (9), 3991-4003. 2016

[15] Zhiwu Huang, Shiguang Shan, Ruiping Wang, Haihong Zhang, Shihong Lao, Alifu Kuerban and Xilin Chen. A Benchmark and Comparative Study of Video-based Face Recognition on COX Face Database. IEEE Trans. on Image Processing. 24(12), 5967-5981, 2015.12

[16] Shaoxin Li, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, Shiguang Shan. Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose. IEEE Trans. on Image Processing. Vol. 23, No. 10, pp 4587-4600, Oct. 2014

[17] Meina Kan, Dong Xu, Shiguang Shan, Wen Li, Xilin Chen. Learning Prototype Hyperplanes for Face Verification in the Wild. IEEE Trans. on Image Processing, vol.22, no.8, pp3310-3316, Aug.2013

[18] Ruiping Wang, Shiguang Shan, Xilin Chen, Wen Gao, Qionghai Dai. Manifold-Manifold Distance and Its Application to Face Recognition with Image Sets. IEEE Transactions on Image Processing. 21(10), pp4466-4479, Oct. 2012

[19] Annan Li, Shiguang Shan and Wen Gao. Coupled Bias-Variance Trade off for Cross-Pose Face Recognition. IEEE Transactions on Image Processing, Vol.21, No.1, pp305-315, Jan.2012

[20] Shufu Xie, Shiguang Shan, Xilin Chen, Jie Chen. Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition. IEEE Trans. on Image Processing. Vol.19, No.5, pp1349-1361, 2010.5

[21] Yu Su, Shiguang Shan, Xilin Chen, Wen Gao. Hierarchical Ensemble of Global and Local Classifiers for Face Recognition. IEEE Transactions on Image Processing, VOL. 18, NO. 8, pp 1885-1896, Aug. 2009 

[22] Xiujuan Chai, Shiguang Shan, Xilin Chen and Wen Gao. Locally Linear Regression for Pose Invariant Face Recognition. IEEE Trans. on Image Processing. Vol.16, No.7, pp1716-1725, 2007.7

[23] Baochang Zhang, Shiguang Shan, Xilin Chen, and Wen Gao. Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition. IEEE Transaction on Image Processing, 16(1), pp57-68, Jan.2007. 

[24] Yu Su, Shiguang Shan, Xilin Chen, Wen Gao. Classifiability-based Discriminatory Projection Pursuit. IEEE Trans. on Neural Network. Volume 22, Issue: 12, Pages: 2050-2061. Dec. 2011.

[25] Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen, and Xuelong Li. Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance. IEEE Transactions on Cybernetics, VOL. 44, NO. 12, Dec. 2014

[26] Wei Zheng, Hong Chang, Luhong Liang, Haoyu Ren, Shiguang Shan, and Xilin Chen. Strip features for fast object detection. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, PP(99):1 –15, 2013

[27] Jinli Suo, Liang Lin, Shiguang Shan, Xilin Chen, Wen Gao. High Resolution Face Fusion for Gender Conversion. IEEE Trans. on System, Man, and Cybernetics (Part A). 41(2), 226-237, Mar. 2011

[28] Bingpeng Ma, Shiguang Shan, Xilin Chen, and Wen Gao. Head Yaw Estimation from Asymmetry of Facial Appearance. IEEE Trans. on System, Man, and Cybernetics, Part B. vol.38, No.6, pp 1501-1512, 2008.12

[29] Wen Gao, Bo Cao, Shiguang Shan, Xilin Chen, Delong Zhou, Xiaohua Zhang, Debin Zhao. The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations. IEEE Trans. on System Man, and Cybernetics (Part A) vol.38, no.1, pp149-161. 2008.1

[30] Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao. Face Detection Based on the Example Resampling by Manifold. IEEE Transactions on Systems, Man, and Cybernetics-Part A, vol. 37, no. 6, pp.1017-1028. 2007.11

[31] Zhiwu Huang, Ruiping Wang, Xianqiu Li, Wenxian Liu, Shiguang Shan, Luc Van Gool, Xilin Chen. Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition, IEEE Transactions on circuits and systems for video technology. Accepted (2017.5.15)

[32] Meina Kan, Dong Xu, Shiguang Shan, Xilin Chen. Semi-supervised Hashing via Kernel Hyperplane Learning for Scalable Image Search. IEEE Transactions on circuits and systems for video technology. Vol.24, No.4, pp704-713, 2014.4

[33] Wen Gao, Yiqiang Chen, Rui Wang, Shiguang Shan, and Dalong Jiang, Learning and Synthesizing MPEG-4 Compatible 3-D Face Animation From Video Sequence, IEEE Transactions on circuits and systems for video technology, vol. 13, no. 11, pp1119-1128, 2003

[34] Xiaoke Zhu, Xiao-Yuan Jing, Xinge You, Wangmeng Zuo, Shiguang Shan, Wei-Shi Zheng. Image to Video Person Re-identification by Learning Heterogeneous Dictionary Pair with Feature Projection Matrix. IEEE Transactions on Information Forensics and Security. 13(3), 717-732, March 2018. 

[35] Y Zhu, Y Li, G Mu, S Shan, G Guo. Still to Video Face Matching Using Multiple Geodesic Flows. IEEE Transactions on Information Forensics and Security 11 (12),2016

[36] Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen. Face Recognition on Large-scale Video in the Wild with Hybrid Euclidean-and-Riemannian Metric Learning. Pattern Recognition, vol. 48, no. 10, pp. 3113-3124, Oct. 2015.

[37] Meina Kan, Shiguang Shan, Yu Su, Dong Xu, Xilin Chen. Adaptive Discriminant Learning for Face Recognition. Pattern Recognition. 46(9), Pages 2497–2509, September 2013,

[38] Hu Han, Shiguang Shan, Xilin Chen, and Wen Gao. A Comparative Study on Illumination Preprocessing in Face Recognition. Pattern Recognition. 46 (6) 1691–1699. Jan. 2013

[39] Jie Chen, Xilin Chen, JieYang, Shiguang Shan, Ruiping Wang and Wen Gao, Optimization of a training set for more robust face detection, Pattern Recognition, Vol.42 No.11, pp2828 – 2840, Nov. 2009

[40] Mengyi Liu, Ruiping Wang, Shaoxin Li, Zhiwu Huang, Shiguang Shan, Xilin Chen, “Video Modeling and Learning on Riemannian Manifold for Emotion Recognition in the Wild,” Journal on Multimodal User Interfaces, Volume 10, Issue 2, pp 113–124. June 2016,

[41] Mengyi Liu, Ruiping Wang, Shiguang Shan_, Xilin Chen. Learning Prototypes and Similes on Grassmann Manifold for Spontaneous Expression Recognition. Computer Vision and Image Understanding. Volume 147, Pages 95–101, June 2016

[42] S Wu, M Kan, Z He, S Shan, X Chen. Funnel-structured cascade for multi-view face detection with alignment-awareness. Neurocomputing. Volume 221, 19 January 2017, Pages 138–145

[43] Mengyi Liu, Shaoxin Li, Shiguang Shan, Xilin Chen. AU-inspired Deep Networks for Facial Expression Feature Learning. Neurocomputing, 159, 126-136, 2015

[44] Zhen Cui, Shiguang Shan*, Ruiping Wang, Lei Zhang, Xilin Chen. Sparsely Encoded Local Descriptor for Face Verification, Neurocomputing, Volume 147, Pages 403–411, Jan. 2015

[45] Bingpeng Ma*, Annan Li*, Xiujuan Chai* and Shiguang Shan*. CovGa: A novel descriptor based on symmetry of regions for head pose estimation. Neurocomputing, vol. 143, pp. 97-108, Nov. 2014

[46] Zhen Cui, Hong Chang*, Shiguang Shan, Bingpeng Ma, and Xilin Chen. Joint Sparse Representation for Video-based Face Recognition, Neurocomputing, Volume 135, 5 July 2014, Pages 306–312. 

[47] Yan Li, Shiguang Shan**, Ruiping Wang, Zhen Cui, Xilin Chen. Fusing magnitude and phase features with multiple face models for robust face recognition. Frontier of Computer Science (First Online: 30 June 2018)

[48] Xin Liu, Meina Kan, Wanglong Wu, Shiguang Shan, Xilin Chen, "VIPLFaceNet:An Open Source Deep Face Recognition SDK," Frontier of Computer Science, vol. 11, no. 2, pp. 208–218, 2017.

[49] Deming Zhai, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao. Multi-view metric learning with global consistency and local smoothness. ACM Transactions on Intelligent Systems and Technology (TIST), Volume 3 Issue 3, May 2012.

[50] Dan Wang, Shiguang Shan*, Hongming Zhang, Wei Zeng, Xilin Chen. Data-Driven Hair Segmentation with Isomorphic Manifold Inference. Image and Vision Computing. Volume 32, Issue 10, October 2014, Pages 739–750

[51] Wei Zheng, Luhong Liang,Hong Chang, Cher-Keng Heng, Shiguang Shan, Xilin Chen. Boosted Translation-Tolerable Classifiers for Fast Object Detection. Image and Vision Computing. Image and Vision Computing. Volume 30, Issue 8, Pages 480–491, August 2012

[52] Xiaowei Zhao, Xiujuan Chai, Zhiheng Niu, Cherkeng Heng, Shiguang Shan. Context Modeling for Facial Landmark Detection Based on Non-Adjacent Rectangle (NAR) Haar-like Feature. Journal of Image and Vision Computing, Volume 30, Issue 3, Pages 136–146, March 2012

[53] Annan Li, Shiguang Shan, Xilin Chen, Wen Gao. Cross-pose face recognition based on partial least squares. Pattern Recognition Letters. Volume: 32, Issue: 15, pp1948-1955, Nov. 2011

[54] Wen Wang, Ruiping Wang, Shiguang Shan, Xilin Chen. Prototype Discriminative Learning for Image Set Classification. IEEE Signal Processing Letters, 24(9), Page(s): 1318 – 1322. 2017.07

[55] Xiaopeng Hong, Hong Chang, Shiguang Shan, Bineng Zhong, Xilin Chen, Wen Gao. Sigma Set Based Implicit Online Learning for Object Tracking. IEEE Signal Processing Letters. vol. 17, no. 9, pp. 807-810, 2010

[56] Bo Li, Hong Chang, Shiguang Shan, Xilin Chen. Low-Resolution Face recognition via Coupled Locality Preserving Mappings. IEEE Signal Processing Letters. Vol.17, No.1, pp20-23 ,Jan.2010

[57] Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Aligning Coupled Manifolds for Face Hallucination. IEEE Signal Processing Letters, vol.16, no.11, pp. 957-960,Nov.2009

[58] Zhiheng Niu, Shiguang Shan, and Xilin Chen, Facial Shape Localization Using Probability Gradient Hints, IEEE Signal Processing Letters, vol. 16, no. 10, pp. 897-900, Oct. 2009 

[59] Wenchao Zhang, Shiguang Shan, Xilin Chen, and Wen Gao. Local Gabor Binary Patterns Based on Kullback-Leibler Divergence for Partially Occluded Face. IEEE Signal Processing Letter. 14(11), pp875-878, 2007.11

[60] Shufu Xie, Shiguang Shan, Xilin Chen, Xin Meng, Wen Gao, Learned Local Gabor Patterns for Face Representation and Recognition. Signal Processing. Vol.89, No.12, pp2333-2344, 2009.12