1991.09 -1995.07 学士 四川师范大学 基础数学 1995.09 -1998.07 硕士 电子科技大学 应用数学 2008.09- 2012.07 博士 香港中文大学

1998.07 -1999.07 助理工程师 中电第29研究所 2002.07-2005.07 讲师 电子科技大学 2005.07-2009.07 副教授 电子科技大学 2009.07-至今 教授

[1] 基于特征学习的领域自适应目标检测方法研究项目 2014.01-2017.12 国家级 国家级自然科学基金; [2] 盲信号分离若干基本问题的研究 2008.01-2010.12国家级 国家级自然科学基金; [3] 盲信号分离研究 2007.01-2009.12省部级 教育部新世纪优秀人才支持计划 [4] 基于视觉异常行为监控若干关键问题研究 2009.5-2011.12 省部级 四川省青年基金 [5] 社会服务机器人行为感知与控制神经计算方法研究 2016.1-2018.12省部级 四川省科技厅 [6] 数字免疫网络研究 2006.1-2007.12省部级 四川省科技厅

[1] Xudong Li, Mao Ye*, Dan Liu, Feng Zhang, Song Tang, Memory-based Object Detection in Surveillance Scenes, ICME2016. [2] 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, Journal of Electronic Imaging 25(3), 033006, 2016 [3] Chenxue Yang, Mao Ye*, Song Tang, Zijian Liu, Tao Xiang, Semi-supervised low-rank representation for image classification, Signal, Image and Video Processing, 2016 Accept [4] Chenfei Xu, Qihe Liu, Mao Ye*, Age invariant face recognition and retrieval by coupled auto-encoder, Neuocomputing, 2016 accept [5] Lishen Pei, Mao Ye* , Xuezhuan Zhao, Yumin Dou and Jiao Bao, Action recognition by learning temporal slowness invariant features, The Visual Computer, 32:1395–1404,2016 [6] Yumin Dou, Pei Xu, Mao Ye* , Xue Li, Lishen Pei, Xudong Li, Real-time Multi-class Object Detection Using Two Dimensional Index, Journal of Real-Time Image Processing, 2015 Accept [7]Xiang Tao, Tao Li, Mao Ye* , and Xudong Li，Discriminative boosted forest with convolutional neural network-based patch descriptor for object detection, J. Electron. Imaging 25(1), 013002 (2016). [8]Tao Xiang, Tao Li, Mao Ye * and Zijian Liu, Random Forest with Adaptive Local Template for Pedestrian Detection, Mathematical Problems in Engineering, 767423, 2015 [9]Min Fu, Pei Xu, Xudong Li, Qihe Liu, Mao Ye* , Ce Zhu, Fast Crowd Density Estimation with Convolutional Neural Networks, Engineering Applications of Artificial Intelligence, Volume 43, August 2015, Pages 81–88, 2015 [10] Lishen Pei, Mao Ye*, Pei Xu, Tao Li, Fast Multi-Class Action Recognition by Querying Inverted Index Tables, Multimedia Tools and Applications, Volume 74, Issue 23 (2015), Page 10801-10822 [11]Xudong Li, Mao Ye*, 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, August 2015 [12]Renjie Huang, Mao Ye*, 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 [13]Pei Xu, Mao Ye*, etc, Dynamic Background Learning through Deep Auto-encoder Networks, ACM MM2014 [14]Pei Xu, Mao Ye*, etc, Motion detection via a couple of autoencoder networks. ICME2014 [15]Renjie Huang, Tao Li, Mao Ye* and Pei Xu, Unconstrained Face Verification by Optimally Organizing Multiple Classifiers, International Journal of Control, Automation and Systems, IJCAS Vol 12, No 4, August 2014 [16]Lishen Pei, Mao Ye*, 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, 2014 [17]Chenxue Yang, Tao Li, Mao Ye*, 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 [18]Chenxue Yang, Mao Ye*, Xudong Li, Zijian Liu, Tao Li, Robust Low Rank Image Representations by Deep Matrix Decompositions, Electronics Letters, 50(24):1843-1845, 2014 [19]Lishen Pei, Mao Ye*, Pei Xu, Xuezhuan Zhao, Guanjun Ge, One Example Based Action Detection In Hough Space. Multimedia Tools and Applications, 72(2): 1751-1772 (2014) [20]Tao Li, Mao Ye* and Jian Ding, Discriminative Hough context model for object detection, The Visual Computer. Vol 30, Issue 1 (2014), Page 59-69 [21]Chenxue Yang, Mao Ye and Zijian Liu, An impulsive periodic single-species Logistic system with diffusion, Journal of Applied Mathematics. Vol.2013,101238,2013 [22]Pei Xu, Mao Ye*, Xue Li, Lishen Pei and Pengwei Jiao, Object Detection Using Voting Spaces Trained by Few Samples, Optical Engineering, 52 (9), 093105 (September 16, 2013) [23]Lishen Pei, Mao Ye*, Pei Xu, Xuezhuan Zhao, Tao Li, Multi-Class Action Recognition based on Inverted Index of Action States. ICIP 2013. [24]Haiyang Wang, Mao Ye * and Shangming Yang, Shadow Compensation and Illumination Normalization of Face Image, Machine Vision and Applications, Volume 24, Issue 6 (2013), Page 1121-1131 [25]Tao Li, Mao Ye *, 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 [26]Songan Mao, Mao Ye*, Xue Li, Feng Pang, Jinglei Zhou, Rapid Vehicle Logo Region Detection Based on Information Theory, Computers and Electronic Engineering，Vol, Issue 3, April 2013, Pages 863–872 [27]Jinglei Zhou, Mao Ye*, etc，Clothing-to-Words Mapping Using Word Separation Method, Computers and Electronic Engineering，Vol 39, No 2, Feb 2013, pp: 361–372 [28]Jianbin Gao,Jianping Li, Qi Xia, and Mao Ye*, Improved SOFI Algorithm for Blind Extraction of Smooth Signals, COMPEL, Vol 32, No 2, 597 – 605,2013 [29] Jinglei Zhou, Mao Ye*, etc, Rapid and Robust Traffic Accident Detection Based on Orientation Map, Optical Engineering, Vol. 51, No. 11, pp. 117201, 2012 [30] Bo Wang, Mao Ye*, 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, 905-912,2012 [31]Ren Dongxiao，Ye Mao*，Extracting Post-Nonlinear Signal with Specific Kurtosis Range，Applied Mathematics and Computation，Vol.218, No 9, 5726–5738,2012 [32]Bo Wang, Mao Ye*, Xue Li and Fengjuan Zhao, Abnormal Crowd Behavior Detection using Size-Adapted Spatio-Temporal Features. International Journal of Control, Automation, and Systems, 9(5):905-912,2011 [33]Liqiang Wang*, Mao Ye*, Jian Ding, Yuanxiang Zhu, Hybrid Fire Detection Using Hidden Markov Model and Luminance Map, Computers and Electronic Engineering. Vol.37， No 6，905-915. 2011 [34]Ren Dongxiao*, Ye Mao*，Extracting Post-Nonlinear Signal with reference, Computers and Electronic Engineering. Vol 37， No 6，1171-1181，2011 [35]Jianbin Gao, Mao Ye*，etc，A Globally Convergent MCA Algorithm by Generalized Eigen-Decomposition，International Journal of Computational Intelligence Systems (IJCIS), Vol. 4, No 5, 991-1001， 2011 [36]Mao Ye*, Xue Li, Maria E. Orlowska, Projected Outlier Detection in High Dimensional Data Set with Mixed Attributes, Expert system with Applications. 36 , pp. 7104-7113. 2009 [37]Gao Zengan*, Mao Ye*, A framework for Data Mining-Based Anti-Money Laundering Research, Journal of Money Laundering Control, Vol. 10, No.2, 2007. [38]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 [39]Mao Ye*, Xu-Qian Fan, Xue Li, A class of self-stabilizing MCA Learning Algorithms, IEEE Trans. Neural Networks, Vol 17. No.6,，pp. 1634-1638. 2006 [40]Mao Ye*, Global convergence analysis of a ‘Non-negative ICA’ algorithm, IEEE Trans. Neural Networks. Vol. 17, No. 1, pp.523-526. JANUARY. 2006 [41]Mao Ye*, Global convergence analysis of a self-stabilized MCA learning algorithm, Neurocomputing. Vol. 67C pp 321-327. 2005 [42]Mao Ye*, Zhang Yi, Complete Convergence of Competitive Neural Networks with Different Time Scales , Neural processing letters. Vol. 21, No. 1, pp. 53 - 60. 2005 [43]Mao Ye*, Zhang Yi, Jianchen Lv, A globally convergent PCA learning algorithm, Neural Computing and Applications. Vol. 14, No. 1, pp. 18-24. 2005 [44]Mao Ye*, Existence and asymptotic stability of relaxation discrete shock profiles, Mathematics of Computation, Vol.73, pp.1261-1296. 2004 [45]Mao Ye*, Numerical boundary layers of conservation laws with relaxation extension, Applied Numerical Mathematics, Vol. 51(2-3), pp. 385-405. 2004