Associate Professor, Dec. 2011 ~ now, School of Information and Communication Engineering, BUPT, Beijing, China.
Lecturer, Dec. 2009 ~ Dec. 2011, School of Information and Communication Engineering, BUPT, Beijing, China.
Ph.D. Sep. 2006 ~ Dec. 2009, School of Information Engineering, BUPT, Beijing, China.
Postgraduate Exchange Oct. 2007~Dec. 2008, BMIT research group, School of IT, University of Sydney, Australia.
M.D. Sep. 2004 ~ July. 2005, School of Information Engineering, BUPT, Beijing, China.
B.Eng.Sep. 2000 ~ July 2004, School of Information Engineering, Beijing University of Posts & Telecommunication (BUPT), Beijing, China.
With ten years’ research and development experience on computer vision and pattern recognition, with speical foucs on
Sparse representation for pattern recognition with small sample size (PAMI12, CVPR13)
Image registration for face recognition (SCIENCE08, PAMI14)
Single sample face recgontition algorithms (PR10, PR14)
Biology inspired face recognition method (PR10)
Feature extraction theory such as Manifold Embedding, ICA, PCA, (our proposed) linear ranking analysis (PAMI08, PR12, PAMI14, CVPR14)
Transform-Invariant PCAPAMI 2014 TIPCA technique learn the coding bases invariant to the transformation of the training images, leading to improved alignment, coding, and recognition performance
Extended Sparse RepesenationPAMI 2012, CVPR2013 Sparse Representation based Classification (SRC) is a face-recognition breakthrough in recent years, which has successfully addressed the recognition problem with sufficient training images of each gallery subject. In this project, we extend SRC to applications where there are very few, or even a single, training images per subject.
Biologically Inspired Face RecognitionPR2010, SCIENCE 2008 Face recognition technology is of great significance for applications involving national security and crime prevention. Despite enormous progress in this field, machine-based system is still far from the goal of matching the versatility and reliability of human face recognition. In this project, we show that a simple system designed by emulating biological strategies of human visual system can largely surpass the state-of-the-art performance on uncontrolled face recognition.
"Uniform Inter-Class Distance" Criterion for Feature ExtractionPR2010,PR2012,PR2014 Current face recognition techniques rely heavily on the large size and representativeness of the training sets, and most methods suffer degraded performance or fail to work if there is only one training sample per person available. This so-called 'one sample problem' is a challenging issue in face recognition. In this project, we propose a novel feature extraction method named uniform pursuit to address the one sample problem.
High-dimensional Pattern AnalysisPAMI2008, SIGIR2007, PR2012 This project aims to conduct indeep theoretical analysis on selected problems of the high-dimensional data analysis
1) Justify the close relationship, or equivalence, among the well-known feature extraction algorithms, such as UDP and LPP.
2) Propose a locality discriminating indexing (LDI) algorithm for document classifcation, which seeks for a projection whichbest preserves the within-class local structures while suppresses the between-class overlap.
Mingzhi Dong, Liang Yin,Weihong Deng, et al., A Maximum K-Min Approach for Classification, AAAI 2013
Jun Li, Chi Zhang, Jiani Hu, Weihong Deng, Blur-Robust Face Recognition via Transformation Learning, ACCV Workshop on Feature and Similarity Learning for Computer Vision, Singapore, Nov. 2014.
Liu Liu, Jiani Hu, Shuo Zhang, Weihong Deng, Extended Supervised Descent Method for Robust Face Alignment, ACCV Workshop on Feature and Similarity Learning for Computer Vision, Singapore, Nov. 2014.
Zhoucong Cui, Shuo Zhang, Jiani Hu, Weihong Deng, Evaluation of Smile Detection Methods with Images in Real-world Scenarios, ACCV Workshop on Feature and Similarity Learning for Computer Vision, Singapore, Nov. 2014.
Jiani Hu,Weihong Deng, Jun Guo, Yajing Xu, Max-K-Min Distance Analysis for Dimension Reduction, ICPR 2014
Jiani Hu,Weihong Deng, Jun Guo, Online Regression of Grandmother-Cell Responses with Visual Experience Learning for Face Recognition, ICPR 2014
Chi Zhang, Xiang Sun, Jiani Hu, Weihong Deng, Precise eye localization by fast local linear SVM, ICME 2014.
Liang Yin, Mingzhi Dong,Weihong Deng, Jun Guo, Bin Zhang: Statistical Color Model Based Adult Video Filter. ICME Workshops 2012: 349-353
Mingzhi Dong, Liang Yin,Weihong Deng, Jun Guo, Weiran Xu: A Computationally Efficient Algorithm for Building Statistical Color Models. ICME Workshops 2012
Mingzhi Dong, Liang Yin, Jun Guo,Weihong Deng, Weiran Xu: Integrative labeling based statistical color models with application to skin detection. ICIP 2012: 2369-2372
Mingzhi Dong, Liang Yin,Weihong Deng, Qiang Wang, Caixia Yuan, Jun Guo, Li Shang, Liwei Ma: A Linear Max K-min classifier. ICPR 2012: 2967-2971
Jiani Hu,Weihong Deng, Guo, Jun, “2D projective transformation based active shape model for facial feature location”, in Proceedings of 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, vol 4, p 2442-2446, 2011.
Jiani Hu, Yu Li, Weihong Deng, Guo Jun, Xu Weiran, “Locating facial features by robust active shape model”, 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010, pp. 196-200, 2010.
Jiani Hu, Weihong Deng, Jun Guo. Semi-Supervised Learning Based on Label Propagation through Submanifold, Sixth International Symposium on Neural Networks, Part I, LNCS 5551, pp. 617-623, 2009.
Jiani Hu, Weihong Deng, Jun Guo, etc, “Locality Discriminating Indexing for Document Classification” The 30th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR’ 07), pp.689-690, 2007.
Jiani Hu, Weihong Deng, Jun Guo, etc, “Learning Locality Discriminating Indexing for Text Categorization” The 4th International Conference on Fuzzy Systems and Knowledge Discovery, 2007.
Jiani Hu, Weihong Deng, Jun Guo, “A Clustering Algorithm Based on Adaptive Subcluster Merging” The 20th Canadian Conference on Artificial Intelligence,
Lecture Notes in Artificial Intelligence, vol. 4509, pp. 241-249, 2007.
Weihong Deng, Jiani Hu, Jun Guo, “Robust Discriminant Analysis o f Gabor Feature for Face Recognition” The 4th International Conference on Fuzzy Systems and Knowledge Discovery, vol.3, pp248-252, 2007.
Jiani Hu, Weihong Deng, Jun Guo, “Improving Retrieval Performance by Global Analysis” Proceeding of the 18th International Conference on Pattern Recognition (ICPR2006), vol. 2, pp. 703–706, 2006.
Jiani Hu, Weihong Deng, Jun Guo, “Robust Discriminant Analysis of Latent Semantic Feature for Text Categorization”, The 3rd International Conference on Fuzzy Systems and Knowledge Discovery, Lecture Notes in Artificial Intelligence, vol. 4223, pp. 400–409, 2006.
Weihong Deng, Jiani Hu, Jun Guo, “Gabor Feature Based Classification using LDA/QZ Algorithm for Face Recognition” The 2nd International Conference on Natural Computation, Lecture Notes in Computer Science, Vol. 4221, pp. 15–24, 2006.
Weihong Deng, Jiani Hu, Jun Guo, “Robust fisher linear discriminant model for dimensionality reduction”, International Conference on Pattern Recognition, v 2, p 699-702, 2006, Proceedings - 18th International Conference on Pattern Recognition, ICPR2006
Weihong Deng, Jiani Hu, Jun Guo, Gabor-Eigen-Whiten-Cosine: A Robust Scheme for Face Recognition. IEEE International Workshop on Analysis and Modeling of Faces and Gestures conjuncted with ICCV2005,(AMFG2005), Lecture Notes in Computer Science, Vol. 3723. (Oct. 2005) pp.336-349.
Weihong Deng, Jiani Hu, Jun Guo, Robust Face Recognition from One Training Sample per Person, First International Conference on Natural Computation (ICNC'05), Lecture Notes in Computer Science, Vol. 3610. (July, 2005) pp.915-924.
Elected to Beijing Higher Education Young Elite Teacher Program by Beijing Municipal Commission of Education (2013)
Elected to New Century Excellent Talents Program by Ministry of Education of China (2013)
Outstanding Doctoral Disertation Award in Beijing (2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
IEEE Transactions on Image Processing
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B