Graduate and
International Programs
Professors and
Associate Professors
Address:School of Computer Science
and Telecommunication Engineering
JiangSu University ,ZhenJiang,JiangSu
Province 32mail.
Ph.D. Supervisor  
Keyang Cheng
  Name ¡¡Keyang Cheng
Title and Position ¡¡Associate Professor
Research Interests ¡¡Pattern Recognition, Computer Vision, Machine Learning, Image Processing
Office Phone ¡¡+86-13094956326
E-mail ¡¡kycheng@ujs.edu.cn
Curriculum Vitae
Nanjing University of Aeronautics and Astronautics, Nanjing, P.R.China, 2010-2015
Ph.D in Computer Sciences & Technology , 2015, Area of pattern recognition
Jiangsu University, Zhenjiang, P.R.China, 1999-2008
M.S. in Computer Sciences & Technology, 2008
B.A. in Computer Sciences & Technology,2003
Associate professor, Jiangsu University, 2014-
Research Assistant, Jiangsu University, 2003-2013
Postdoctor, University of Warwick, UK, 2016
Visiting scholar, Brunel University,UK, Research on pattern recognition with distributed computing, 2015
Teaching and research achievements

[1]Natural Science Foundation of China(NFSC) No.61602215, ¡°Topological Reasoning of Multi-cameras and Pedestrians Re-identification based on the Data Driven and Semantic Modeling ¡±, 2016-2019
[2]Natural science foundation of Jiangsu province No.BK20150527, ¡°Large Data Driven Pedestrian recognition based on Deep Learning and Semantic Modeling¡±, 2015-2018
[3] Science and Technology Planning Project of City Zhenjiang No. SH2014017, ¡°Research on Pedestrian Detection under Complex Background¡±, 2014-2016
[4]National science foundation of China (NFSC) No 61203246, ¡°Research on Object Feature Extraction in Vehicle Behavior Understanding¡±, 2012-2014
[5]National science foundation of China (NFSC) No.61003183, ¡°Research on Structured Prediction Model of Hierarchical Face Deformable under Difficult Light¡±, 2011-2013
[6]Funding of Jiangsu Innovation Program for Graduate Education (CXZZ11_0216), ¡°Structure Output Sparse Representation and its Application¡±, 2011-2013
[7]Provincial universities natural science foundation of Jiangsu province(11KJD520004) ,¡°Pedestrian Detection and Behavior Analysis¡±, 2010-2012
[8]Natural science foundation of Jiangsu province No.BK2009199, ¡°Perceptual Processing Technology for Remote Collaboration System¡±, 2008-2010
[9]National science foundation of China (NFSC) No.61003183, ¡°Emotion Recognition based on the Dynamic Graph Model¡±, 2006-2008

[1]A kind of face recognition method with hierarchical alignment, Patent number: 200910033194.4
[2]A method of pedestrian detection based on sparse representation, Patent number: 201110447411.1
[3] A pedestrian recognition method based on the combination of deep learning and attribute learning, Patent number: 201510297560.2
[4]A on-line image identification and retrieval method based on attribute learning and interactive feedback, Patent number:201610513217.1

[1]A real-time flowers identification system based on attributes learning, No. 2014SR142548
[2] Real time pedestrian detection system under complex environment, No.2015SR284164

ZHAN Yong-zhao, MAO Qirong, LIN Qing, CHENG Ke-yang. ¡°Emotion Recognition from Video and Speech¡±. Science Press.Beijing.2013

[1]Keyang Cheng, Yongzhao Zhan, Man Qi. AL-DDCNN : A Distributed Crossing Semantic Gap learning for Person Re-identification.Concurrency and Computation: Practice and Experience .2016.(SCI,EI)
[2]Cheng K, Hui K, Zhan Y, et al. A novel improved ViBe algorithm to accelerate the ghost suppression. Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 12th International Conference on. IEEE, 2016: 1692-1698.(EI)
[3] Zhang Jianming, Zhan Zhicai, Cheng Keyang, Zhan Yongzhao. Review on Deep Learning Development. Journal of Jiangsu University(Natural Science Edition) .Vol.36 No.2, Nov., 2015.
[4] Cheng Keyang, Tan Xiaoyang. Sparse Representations based Attribute Learning for Flower Classification. Neurocomputing. Vol. 145, No.5, Dec. 2014.(SCI,EI)
[5]Cheng Keyang, Mao Qirong, and Zhan Yongzhao. Pedestrian Detection based on Sparse and Low-Rank Matrix Decomposition. TELKOMNIKA Indonesian Journal of Electrical Engineering. Vol.12, No.2, February 2014. (EI)
[6]LIN Wu-xu, CHENG Ke-yang, ZHANG Jian-ming. Research on Image Classification Based on Attribute Learning. Computer Science. Vol.41,No.5.May 2014.
[7]Keyang Cheng, Qirong Mao, Yongzhao Zhan.Pedestrian Detection Based on Kernel Discriminative Sparse Representation. Transactions on Edutainment. Vol.6, No.1, January 2013.(EI)
[8] Zhan Yongzhao, Zhang Shanshan, Cheng Keyang. Video Semantics Analysis based on Nonlinear Identifiable Sparse Representation. Journal of Jiangsu University(Natural Science Edition) .Vol.34, No.6, Nov., 2013.
[9]Keyang Cheng, Junxian Bao. A New Algorithm for Pedestrian Detection. Information and Computer Applications. Vol.24, No.2, February, 2012.(EI)
[10]Jiangming Zhang, Mingkun Du, Keyang Cheng. Pedestrian Detection Based On Efficient Fused Lasso Algorithm. In Proc. of 5th International Congress on Image and Signal Processing (CISP 2012). Chongqing, Oct. 16th-18th,2012.£šEI£©
[11]CHEN Jun-xia,SONG Shun-lin,CHENG Ke-yang. Backoff Algorithm of 802.11 Contention Window Based on Change Rate.Vol38,No17,2012.
[12]Keyang Cheng, Qirong Mao, Yongzhao Zhan.Pedestrian Detection based on Kernel Discriminative Sparse Representation. Transactions on Edutainment 2011.(EI)
[13] HE Nian. ZHAN Yongzhao, CHENG Keyang, Humanoid Feature Reduction Based on the Arithmetic Average Granularity Computing. Computer Engineering.2011
[14]CHEN Bo, ZHAN Yongzhao,CHENG Keyang.Video shoot classification based on Sparse Representation of dictionary optimized. Application Research of Computers. 2011
[15]Keyang Cheng, Qirong Mao, Yongzhao Zhan. A Novel Sparse Learning Method: Compressible Bayesian Elastic Net Model. Lecture Notes in Electrical Engineering. Vol.137, No.7, July, 2011.(EI)
[16]Zhan Y Z,Cheng K Y,  Chen Y B, Wen C J. A New Classifier for Facial Expression Recognition: Fuzzy Buried Markov Model. Journal of Computer Science and Technology. Vol.25, No.4, May, 2010. (SCI,EI)
[17]SUN Hao, CHENG Ke-yang, CHEN Chang-jun, ZHAN Yong-zhao. Research on the Method of Hierachical Human Face Identification for the Image with Identity. Microcomputer Information. 2010
[18]Keyang CHENG,Yabi CHEN,Yongzhao ZHAN. A New Approach for Expression Recognition Based on Burial Markov. In Proc. of FSKD 2008,10.(EI)
[19]CHENG Ke-yang, WEN Chuan-jun, ZHAN Yong-zhao. Research on Fuzzy Buried Markov Model. Computer Science. 2008
[20]CHENG Ke-yang. Research on the System of Network Games Enthrallment Prevention based on Agent Technology. Computer Applications and Software. 2008
[21]CHENG Ke-yang. Research of Intrusion Detection based on Fuzzy Window Hidden Markov Model. Journal of Computer Applications.2007
[22]CHENG Ke-yang. Study of Designing Employment Information System of University Graduate Based on J2EE. Application Research of Computers.2005.
[23]CHENG Ke-yang. Research of Intrusion Detection based on Set Pair Analysis (SPA). In Proc. of CIAC 2005,07.(EI)
[24] CHENG Ke-yang. Research in Fuzzy Logic and Reasoning Method on Set Pair Analysis. Journal of Huazhong University of Science and Technology 2004.
[25]CHENG Ke-yang. Founding a Software Quality Estimation System based on the Set Pair Analysis. Computer Applications and Software. Vol3, No.24, 2004.
[26]XING Gui-fen; CHENG Ke-yang. Founding of a software quality estimation system based on set pair analysis. Journal of Jiangsu University(Natural Science Edition) .Vol 1, No.25, 2004.
[27] CHENG Ke-yang. A fingerprint identification system based on Set Pair Analysis (SPA). Journal of system simulation.vol9,No.15,2013.

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