Keyang Cheng-江苏大学计算机科学与通信工程学院

	Name	Keyang Cheng
	Title	Professor
	Research Interests	Pattern Recognition, Computer Vision, Machine Learning, Image Processing
	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

WORK EXPERIENCE

Associate professor, Jiangsu University, 2014-
Research Assistant, Jiangsu University, 2003-2013
Postdoctor, University of Warwick, UK, 2016

VISITING SCHOLAR EXPERIENCE

Visiting scholar, Brunel University,UK, Research on pattern recognition with distributed computing, 2015

Teaching Achievements

COURSES TAUGHT:

Computer vision algorithms and applications
Theory of computation
Discrete mathematics
Artificial intelligence
Introduction to computers
Algorithm design and analysis

BOOKS:

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

Research Achievements

PUBLICATIONS

[1] Cheng, K., Tao, F., Zhan, Y. et al. Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate. Neural Computing and Applications (2019). (SCI,EI)
[2]Keyang Cheng, Muhammad Saddam Khokhar,Yunbo Rao, Rabia Tahir.Multi-Camera Background and Scene Activity Modelling based on Spearman Correlation Analysis and Inception-V3 Network. IEEE 35th International Conference on Data Engineering (ICDE2019).(CCF A)
[3] Keyang Cheng, Fei Tao, Yongzhao Zhan. A Stochastic Parallel Gradient Descent Algorithm for Person Re-identification. IEEE International Conference on Visual Communications and Image Processing (VCIP 2018). （EI)
[4] Cheng K, Xu F, Tao F, et al. Data driven pedestrian re-dentification based on hierarchical semantic representation[J]. Concurrency & Computation Practice & Experience, 2018,30(23). (SCI, EI)
[5] Huanzhou Zhu, Zhuoer Gu, Haiming Zhao, Keyang Cheng, Chang-Tsun Li, and Ligang He. Developing a Pattern Discovery Method in Time Series Data and Its GPU Acceleration[J]. Big Data Mining and Analytics. 2018 ,1(4):266–283. (EI)
[6]Cheng K, Hui K, Zhan Y, et al. Sparse representations based distributed attribute learning for person re-identification[J]. Multimedia Tools and Applications, 2017:1-23.(SCI, EI)
[7]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)
[8]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)
[9] 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.
[10] Cheng Keyang, Tan Xiaoyang. Sparse Representations based Attribute Learning for Flower Classification. Neurocomputing. Vol. 145, No.5, Dec. 2014.(SCI,EI)
[11]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)
[12]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.
[13]Keyang Cheng, Qirong Mao, Yongzhao Zhan.Pedestrian Detection Based on Kernel Discriminative Sparse Representation. Transactions on Edutainment. Vol.6, No.1, January 2013.(EI)
[14] 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.
[15]Keyang Cheng, Junxian Bao. A New Algorithm for Pedestrian Detection. Information and Computer Applications. Vol.24, No.2, February, 2012.(EI)
[16]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.（EI）
[17]CHEN Jun-xia,SONG Shun-lin,CHENG Ke-yang. Backoff Algorithm of 802.11 Contention Window Based on Change Rate.Vol38,No17,2012.
[18]Keyang Cheng, Qirong Mao, Yongzhao Zhan.Pedestrian Detection based on Kernel Discriminative Sparse Representation. Transactions on Edutainment 2011.(EI)
[19] HE Nian. ZHAN Yongzhao, CHENG Keyang, Humanoid Feature Reduction Based on the Arithmetic Average Granularity Computing. Computer Engineering.2011
[20]CHEN Bo, ZHAN Yongzhao,CHENG Keyang.Video shoot classification based on Sparse Representation of dictionary optimized. Application Research of Computers. 2011
[21]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)
[22]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)
[23]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
[24]Keyang CHENG,Yabi CHEN,Yongzhao ZHAN. A New Approach for Expression Recognition Based on Burial Markov. In Proc. Of FSKD 2008,10.(EI)
[25]CHENG Ke-yang, WEN Chuan-jun, ZHAN Yong-zhao. Research on Fuzzy Buried Markov Model. Computer Science. 2008
[26]CHENG Ke-yang. Research on the System of Network Games Enthrallment Prevention based on Agent Technology. Computer Applications and Software. 2008
[27]CHENG Ke-yang. Research of Intrusion Detection based on Fuzzy Window Hidden Markov Model. Journal of Computer Applications.2007
[28]CHENG Ke-yang. Study of Designing Employment Information System of University Graduate Based on J2EE. Application Research of Computers.2005.
[29]CHENG Ke-yang. Research of Intrusion Detection based on Set Pair Analysis (SPA). In Proc. Of CIAC 2005,07.(EI)
[30] CHENG Ke-yang. Research in Fuzzy Logic and Reasoning Method on Set Pair Analysis. Journal of Huazhong University of Science and Technology 2004.
[31]CHENG Ke-yang. Founding a Software Quality Estimation System based on the Set Pair Analysis. Computer Applications and Software. Vol3, No.24, 2004.
[32]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.
[33] CHENG Ke-yang. A fingerprint identification system based on Set Pair Analysis (SPA). Journal of system simulation.vol9,No.15,2013.

Projects

RESEARCH PROJECTS

[1] Natural Science Foundation of China(NFSC) No. 61972183,” Research on Explainable Deep Neural Network for Urban Visual Perception Analysis”,2020-2023
[2] 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 ”, 2017-2019
[3] Natural science foundation of Jiangsu province No.BK20150527, “Large Data Driven Pedestrian recognition based on Deep Learning and Semantic Modeling”, 2015-2018
[4] Science and Technology Planning Project of City Zhenjiang No. SH2014017, “Research on Pedestrian Detection under Complex Background”, 2014-2016
[5] National science foundation of China (NFSC) No 61203246, “Research on Object Feature Extraction in Vehicle Behavior Understanding”, 2012-2014
[6] National science foundation of China (NFSC) No.61003183, “Research on Structured Prediction Model of Hierarchical Face Deformable under Difficult Light”, 2011-2013
[7] Funding of Jiangsu Innovation Program for Graduate Education (CXZZ11_0216), “Structure Output Sparse Representation and its Application”, 2011-2013
[8] Provincial universities natural science foundation of Jiangsu province(11KJD520004) ,“Pedestrian Detection and Behavior Analysis”, 2010-2012
[9] Natural science foundation of Jiangsu province No.BK2009199, “Perceptual Processing Technology for Remote Collaboration System”, 2008-2010
[10] National science foundation of China (NFSC) No.61003183, “Emotion Recognition based on the Dynamic Graph Model”, 2006-2008

Awards

Jiangsu science and technology award