Selected Publications


                                                                                                                               S Supervisor   * Corresponding author






Song Tang, Mao Ye*, Pei Xu, Xudong Li, Adaptive pedestrian detection by predicting classifier, Neural Computing and Applications, 2017, Accept




Xudong Li, Mao Ye*, Yiguang Liu,Ce Zhu, Memory-based Pedestrian Detection Through Sequence Learning, ICME2017, (Best student paper award)




Song Tang, Mao Ye*, Ce Zhu, Yiguang Liu, "Adaptive pedestrian detection using convolutional neural network with dynamically adjusted classifier," J. Electron. Imaging 26(1), 013012 (2017), doi: 10.1117/1.JEI.26.1.013012.




Xudong Li, Mao Ye*, Yiguang Liu, Dan Liu, Feng Zhang, Song Tang, Accurate object detection using memory-based models in surveillance scenes, Pattern Recognition,Volume 67, July 2017, Pages 73–84




Pengfei Wu,Yiguang Liu*, Mao Ye ,Yunan Zheng, Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization, IEEE Transactions on Image Processing, VOL. 26, NO. 3, MARCH 2017

, DOI: 10.1109/TIP.2017.2651383




Xudong Li, Mao Ye*, Yiguang Liu,Ce Zhu, Adaptive Deep Convolutional Neural Networks for





 Song TANG, Lijuan CHEN, Jinpeng MI, Mao YE*, Jianwei ZHANG and Qingdu LI, Adaptive Pedestrian Detection by Modulating Features, ROBIO2017.




Lan Lin, Renjie Huang, Xudong Li, Feng Zhang, and Mao Ye*, Person Re-Identification by Optimally Organizing Multiple Similarity Measures, IEEE Access 2017








Xudong Li, Mao Ye*, Dan Liu, Feng Zhang, Song Tang, Memory-based Object Detection in Surveillance Scenes, ICME2016.




Song Tang, Mao Ye*, Qihe Liu, and Fan Li, Domain adaptation of image classification based on collective target nearest neighbor representation, Journal of Electronic Imaging 25(3), 033006 (SCI)


Chenxue Yang, Mao Ye*, Song Tang, Zijian Liu, Tao Xiang, Semi-supervised low-rank representation for image classification, Signal, Image and Video Processing, (2017) 11:7380 (SCI)




Chenfei Xu, Qihe Liu, Mao Ye*, Age invariant face recognition and retrieval by coupled auto-encoder, Neuocomputing, Volume 222, 26 January 2017, Pages 62–71



Xiang Zhang,Ce Zhu*, Shuai Wang, Yipeng Liu, Mao Ye, A Bayesian Approach for Camouflaged Moving Object Detection, IEEE Transactions on Circuits and Systems for Video Technology,  Volume: 27, Issue: 9,  2001-2013,  Sept. 2017 (SCI)




Qian Zhao, Shuzhi Sam Ge S *, Mao Ye, Sibang Liu, Wei He, Learning Saliency Features for Face Detection and Recognition using Multi-Task Network, International Journal of Social Robotics, 2016 (2016) 8:709–720  (SCI)




Pengfei Wu, Yiguang Liu*, Mao Ye, etc, Fast and Adaptive 3D Reconstruction with Extensively High Completeness, IEEE Transactions on Multimedia, Volume: 19, Issue: 2, Page(s): 266 – 278, FEB 2017 (SCI)






   Lishen Pei, Mao Ye S *  , Xuezhuan Zhao, Yumin Dou and Jiao Bao, Action recognition by learning   temporal slowness invariant features,  The Visual Computer, 32:1395–1404,2016 (SCI)




  Min Fu, Pei Xu, Xudong Li, Qihe Liu, Mao Ye S *  , Ce Zhu, Fast Crowd Density Estimation with    

   Convolutional Neural Networks,  Engineering Applications of Artificial Intelligence, Volume 43, August 2015, Pages 81–88, 2015 (SCI)




Qihe Liu*, Xiaonan Hu, Mao Ye, Xianqiong Cheng and Fan Li, Gas Recognition under Sensor Drift by Using Deep Learning, International Journal of Intelligent Systems, Volume 30, Issue 8, pages 907–922, August 2015 (SCI)




Yumin Dou, Pei Xu, Mao Ye S *, Xue Li,  Lishen Pei,  Xudong Li, Real-time Multi-class Object Detection Using Two Dimensional Index, Journal of Real-Time Image Processing, 2015 Accept (SCI)




Tao Xiang, Tao Li, Mao Ye* and Zijian Liu, Random Forest with Adaptive Local Template for Pedestrian Detection, Mathematical Problems in Engineering, 767423, 2015 (SCI)



Xiang Tao, Tao Li, Mao Ye*, and Xudong LiDiscriminative boosted forest with convolutional neural network-based patch descriptor for object detection, J. Electron. Imaging 25(1), 013002 (2016). doi: 10.1117/1.JEI.25.1.013002 (SCI)








Renjie Huang, Tao Li, Mao Ye S *  and Pei Xu,  Unconstrained Face Verification by Optimally Organizing Multiple Classifiers, International Journal of Control, Automation and Systems,2014, Vol 12, No 4, August 2014 (SCI)




Pei Xu, Mao Ye S *,,etc, Motion detection via a couple of autoencoder networks. ICME 2014.




Xin Zhao, Xue Li, Chaoyi Pang, Quan Z. Sheng, Sen Wang and Mao Ye,, Structured Streaming Skeleton – a New Feature for Online Human Gesture Recognition, ACM Transactions on Multimedia Computing, Communications and Applications, 11(1s): 22:1-22:18, 2014 (SCI)




Pei Xu, Mao Ye S *, etc, Dynamic Background Learning through Deep Auto-encoder Networks, ACM Multimedia 2014 long paper, ppt




Lishen Pei, Mao Ye S *, Pei Xu, Tao Li, Fast Multi-Class Action Recognition by Querying Inverted Index Tables, 2014, Multimedia Tools and Applications. Volume 74, Issue 23 (2015), Page 10801-10822 (SCI)




Lishen Pei,  Mao Ye S *, Xuezhuan Zhao, Tao Xiang and Tao Li, Learning Spatio-Temporal Features for Action Recognition from the Side of the Video,  Signal, Image and Video Processing, 10(1), 199-206, 2016 (SCI)




Chenxue Yang, Tao Li, Mao Ye S *, Zijian Liu and Bao Jiao, A Constrained Algorithm Based NMF alpha for Image Representation, Discrete Dynamics in Nature and Society, Volume 2014, Article ID 179129, 2014 (SCI)




Xudong Li, Mao Ye S *, Min Fu, Pei Xu and Tao Li, Domain Adaption of Vehicle Detector Based on Convolutional Neural Networks, International Journal of Control, Automation and Systems, Volume 13, Number 4, 1020-1031, August 2015 (SCI)




Chenxue Yang, Mao Ye S *, Xudong Li, Zijian Liu, Tao Li, Robust Low Rank Image Representations by Deep Matrix Decompositions, Electronics Letters, 50(24):1843-1845, 2014 (SCI)



Renjie Huang,  Mao Ye S *, Pei Xu, Tao Li, Yumin Dou, Learning to Pool High-level Features for Face Representation, The Visual Computer, Vol 31, No 12, Page 1683-1695, 2015 (SCI)








Tao Li*, Mao YeS and Jian Ding, Discriminative Hough context model for object detection, The Visual Computer: Volume 30, Issue 1 (2014), Page 59-69 (SCI)




Haiyang Wang, Mao Ye S * and Shangming Yang, Shadow Compensation and Illumination Normalization of Face Image, Machine Vision and Applications, Volume 24, Issue 6 (2013), Page 1121-1131 (SCI)




Songan Mao*, Mao Ye S, Xue Li, Feng Pang, Jinglei Zhou, Rapid Vehicle Logo Region Detection Based on Information Theory, Computers and Electronic EngineeringVol, Issue 3, April 2013, Pages 863–872 (SCI)




Lishen Pei*, Mao Ye S, Pei Xu, Xuezhuan Zhao, Guanjun Ge, One Example Based Action Detection In Hough Space. Multimedia Tools Appl. 72(2): 1751-1772 (2014) (SCI)



Chenxue Yang*, Mao Ye S and Zijian Liu, An impulsive periodic single-species Logistic system with diffusion, Journal of Applied Mathematics. Vol.2013,101238,2013 (SCI)



Lishen Pei, Mao Ye* S, Pei Xu, Xuezhuan Zhao, Tao Li, Multi-Class Action Recognition based on Inverted Index of Action States. ICIP 2013.



Tao Li, Mao Ye* S, Feng Pang, Haiyang Wang and Jian Ding,  An Efficient Fire Detection Method Based on Orientation Feature. International Journal of Control, Automation, and Systems, vol. 11, no. 5, pp.1038-1045, 2013 (SCI)




Shangming Yang, Zhang Yi*, Mao Ye, Xiaofei He, Convergence Analysis of Graph Regularized Non-negative Matrix Factorization, IEEE Transactions on Knowledge and Data Engineering, 19 June 2013




Pei Xu, Mao Ye* S , Xue Li, Lishen Pei and Pengwei Jiao, Object Detection Using Voting Spaces Trained by Few Samples, Optical Engineering, 52 (9), 093105 (September 16, 2013);  doi: 10.1117/1.OE.52.9.0931052013




Fan Li*, Mao Ye, Xudong Chen, An extension to Rough c-means clustering based on decision-theoretic Rough Sets model, International Journal of approximate Reasoning, Volume 55, Issue 1, Part 2,  Pages 116-129 (SCI)2013




Qihe Liu, Xue Li*, Mao Ye, etc,  Drift Compensation for Electronic Nose by Semi-Supervised Domain Adaption,  IEEE Sensors,  vol 14, no 3, 657-665 (SCI)  March 2014






Shangming Yang* and Mao Ye, Multistability of alpha-Divergence Based NMF Algorithms, Computers and Mathematics with Applications,  Vol 64 ,No 2 ,pp: 73-88 (2012) (SCI)



Jinglei Zhou, Mao Ye* S, etcClothing-to-Words Mapping Using Word Separation Method, Computers and Electronic EngineeringVol 39, No 2, Feb 2013, pp: 361–372  (SCI)



Jinglei Zhou, Mao Ye* S, etc, Rapid and Robust Traffic Accident Detection Based on Orientation Map,  Optical Engineering , Vol. 51, No. 11, 117201, 2012. (SCI)


Shangming Yang*, Mao YeGlobal Minima Analysis of Lee and Seung’s NMF Algorithms Neural Processing Letters 38(1): 29-51 (2013)  (SCI)






Jianbin Gao, Mao Ye* S, Improved SOFI Algorithm for Blind Extraction of Smooth Signals, COMPEL, Volume 32, Issue 2 2013 - CAC 2010 Special IssueSCI



Bo,Wang*, Mao YeS, Xue Li, Fengjuan Zhao, Jian Ding, Abnormal Crowd Behavior Detection using High Frequency and Spatio-Temporal Features, Machine Vision and Applications. Vol 9, No 5, 905-9122012SCI



Ren Dongxiao*, Mao Ye SExtracting Post-Nonlinear Signal with reference, Computers and Electronic Engineering. Vol  37 No 61171-11812011SCI



Bo Wang*, Mao Ye S, Xue Li and Fengjuan Zhao, Abnormal Crowd Behavior Detection using Size-Adapted Spatio-Temporal Features. International Journal of Control, Automation, and Systems, (2011) 9(5):905-912 SCI



Liqiang Wang*, Mao Ye S, Jian Ding, Yuanxiang Zhu, Hybrid Fire Detection Using Hidden Markov Model and Luminance Map, Computers and Electronic Engineering. Vol 37 No 6905-915. Nov 2011 SCI



Ren Dongxiao*Mao Ye SExtracting Post-Nonlinear Signal with Specific Kurtosis RangeApplied Mathematics and ComputationVol 218, No 9, 1 Jan 2012, Pages 5726–5738SCI



Jianbin Gao, Mao Ye* SetcA Globally Convergent MCA Algorithm by Generalized Eigen-DecompositionInternational Journal of Computational Intelligence Systems (IJCIS), Vol. 4, No 5,991-10012011SCI




Xiong, Liang-Lin*, Zhong, Shou-Ming and Mao Ye, Delay-dependent BIBO stability analysis of switched uncertain  neutral systems, Math. Comput. Modelling 53 (2011),  no. 9-10, 1607--1620SCI






Zixin Liu*, Shu Lü, Shouming Zhong, and Mao Ye, Improved exponential stability criteria for discrete-time neural networks with time-varying Neurocomputing, v 73, n 4-6, p 975-985, January 2010SCIEI



Zixin Liu*, Shu Lü, Shouming Zhong, and Mao Yepth moment exponential synchronization analysis for a class of stochastic neural networks with mixed delays Communications in Nonlinear Science and Numerical Simulation, v 15, n 7, p 1899-1909, July 2010SCIEI



Zixin Liu*, Shu Lü, Shouming Zhong, and Mao Ye, Stabilization analysis for discrete-time systems with time delay, Applied Mathematics and Computation, v 216, n 7, p 2024-2035, June 1, 2010SCIEI



Jinzhong Cui, Lianglin Xiong*, and Mao Ye  BIBO stability of switched uncertain neutral control systemInternational Journal of Control, Automation, and Systems, vol. 8, no. 4pp.913-9232010 SCI.EI





Mao Ye*, Xue Li, Maria E. Orlowska, Projected Outlier Detection in High Dimensional Data Set with Mixed Attributes, Expert system with applications.  36 (2009), pp. 7104-7113.SCI.EI



Yongqiang Zhou*, Shouming Zhong, Mao Ye and Zhiyuan Shi, Global asymptotic stability analysis of nonlinear differential equations in hybrid bidirectional associative memory neural networks with distributed time-varying delays, Neurocomputing, Volume 72, Issues 7-9, March 2009, Pages 1803-1807 SCIEI



Lianglin Xiong*, Shouming Zhong, Mao Ye and Shiliang Wu,  New stability and stabilization for switched neutral control systems, Chaos, Solitons & Fractals,Volume 42, Issue 3, 15 November 2009, Pages 1800-1811SCIEI



Hengguo Yu*, Shouming Zhong, Mao Ye and Wufan Chen, Mathematical and dynamic analysis of an ecological model with an impulsive control strategy and distributed time delay. Mathematical and Computer Modelling Volume 50, Issues 11-12, December 2009, Pages 1622-1635 SCIEI



Hengguo Yu*, Shouming Zhong, Mao Ye: Dynamic analysis of an ecological model with impulsive control strategy and distributed time delay. Mathematics and Computers in Simulation 80(3): 619-632 (2009) SCIEI







1.  Gao Zengan*, Mao Ye*, A framework for Data Mining-Based Anti-Money Laundering Research, Journal of Money Laundering Control, Vol. 10, No.2, 2007.

2.  Mao Ye*, Zhang Yi, K.K.Tan, A robust and globally convergent PCA algorithm, Control and Intelligent Systems. Vol.35, No.2, pp.143-161, 2007.

3.  Mao Ye*, Xue Li, An Efficient Measure of Signal Temporal Predictability for Blind Signal Separation, Neural Processing Letters. Vol.26, No.1, pp. 57-68. 2007.

4.  Mao Ye*, Xu-Qian Fan, Xue Li, A class of self-stabilizing MCA Learning Algorithms, IEEE Trans. Neural Networks,  Vol 17. No.6, 2006pp. 1634-1638.

5.  Mao Ye*, Global convergence analysis of a ‘Non-negative ICA’ algorithm, IEEE Trans. Neural Networks. Vol. 17, No. 1, pp.523-526. JANUARY 2006.

6. Zhang Yi*, Mao Ye, J. C. Lv and K. K. Tan, Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm, IEEE Trans. Neural Networks. Vol.16, No. 6, pp 1318-1328. Nov. 2005.

7. Mao Ye*,  Global convergence analysis of a self-stabilized MCA learning algorithm, Neurocomputing. Vol. 67C pp 321-327. July 2005.

8.  Mao Ye*, Zhang Yi, Complete Convergence of Competitive Neural Networks with Different Time Scales, Neural processing letters. Vol. 21, No. 1, pp. 53 - 60.  February 2005.

9.  Mao Ye*, Zhang Yi, Jianchen Lv, A globally convergent PCA learning algorithm, Neural Computing and Application. Vol. 14, No. 1, pp. 18-24. March 2005.

10.  Mao Ye*, Existence and asymptotic stability of relaxation discrete shock profiles, Mathematics of Computation, 2004.  Vol.73, pp.1261-1296.

11.  Mao Ye*, Numerical boundary layers of conservation laws with relaxation extension, Applied Numerical Mathematics, 2004. Vol. 51(2-3), pp. 385-405.


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