叶茂
电子科技大学教授
叶茂,男,博士,1973年9月出生,毕业于四川师范大学,现为电子科技大学教授。
2008年破格提升为博士生指导教师。2009年破格晋升为正教授。中国工程物理研究院客座教授,电子科技大学机器人中心副主任。计算机学会计算机视觉专委会,多媒体计算专委会委员。2002年从香港中文大学获得计算数学哲学博士学位并加入电子科技大学至今。
人物经历
教育经历
工作经历
1998年4月-1999年7月信息产业部电子第二十九研究所软件组,高级程序员,从事信息与数据融合方面的研究和软件编制工作。7月-1999年7月在中电第29研究所任助理工程师
2002年7月-2005年7月在电子科技大学任讲师。
2005年7月-2009年7月在电子科技大学任副教授。11月-2006年8月任昆士兰大学信息科学与技术工程学院访问学者,从事高维数据流挖掘方面的理论研究。
2009年7月-至今在电子科技大学任教授。
主要成就
科研成就
研究方向
机器学习与计算机视觉
目前主要的科学研究兴趣为:视听觉信息特征提取,视频检索,模式识别与计算机视觉,非刚体匹配。
研究项目
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。
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。
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。
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。
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省部级四川省科学技术厅
数字免疫网络研究2006.1-2007.12省部级四川省科技厅。
论文列表
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
Xudong Li, Mao Ye*, Min Fu, Pei Xu and Tao Li, Domain Adaption of Vehicle Detector Based on Convolutional Neural Networks, Volume 13, Number 4, August 2015
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
Pei Xu, Mao Ye*, etc, Dynamic Background Learning through Deep Auto-encoder Networks, ACM MM2014
Pei Xu, Mao Ye*, etc, Motion detection via a couple of autoencoder networks. ICME2014
Renjie Huang, Tao Li, Mao Ye* and Pei Xu, Unconstrained Face Verification by Optimally Organizing Multiple Classifiers, International Journal of Control, 自动化技术 and Systems, IJCAS Vol 12, No 4, August 2014
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
Chenxue Yang, Tao Li, Mao Ye*, Zijian Liu and Bao Jiao, A Constrained Algorithm based NMF_\alpha for Image Representation, Discrete 动力学 in Nature and Society, Volume 2014, Article ID 179129,2014
Chenxue Yang, Mao Ye*, Xudong Li, Zijian Liu, Tao Li, Robust Low Rank Image Representations by Deep Matrix Decompositions, 电子学 Letters, 50(24):1843-1845, 2014
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)
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
Chenxue Yang, Mao Ye and Zijian Liu, An impulsive periodic single-物种 Logistic system with diffusion, Journal of Applied 数学 Vol.2013,101238,2013
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)
Lishen Pei, Mao Ye*, Pei Xu, Xuezhuan Zhao, Tao Li, Multi-Class Action Recognition based on Inverted Index of Action States. ICIP 2013.
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
Tao Li, Mao Ye *, Feng Pang, Haiyang Wang and Jian Ding, An Efficient Fire Detection Method Based on Orientation Feature. International Journal of Control, 自动化技术, and Systems, vol. 11, no. 5, pp.1038-1045, 2013
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
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
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
Jinglei Zhou, Mao Ye*, etc, Rapid and Robust Traffic Accident Detection Based on Orientation Map, Optical Engineering, Vol. 51, No. 11, pp. 117201, 2012
Bo Wang, Mao Ye*, Xue Li, Fengjuan Zhao, Jian Ding, Abnormal crowd Behavior Detection using High 频率 and Spatio Temporal Features, Machine Vision and Applications. Vol 9, No 5, 905-912,2012
Ren Dongxiao,Ye Mao*,Extracting Post-Nonlinear Signal with Specific Kurtosis Range,Applied 数学 and Computation,Vol.218, No 9, 5726–5738,2012
Bo Wang, Mao Ye*, Xue Li and Fengjuan Zhao, Abnormal Crowd Behavior Detection using Size-Adapted Spatio-Temporal Features. International Journal of Control, 自动化技术, and Systems, 9(5):905-912,2011
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
Ren Dongxiao*, Ye Mao*,Extracting Post-Nonlinear Signal with reference, Computers and Electronic Engineering. Vol 37,No 6,1171-1181,2011
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
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
Gao Zengan*, Mao Ye*, A framework for Data Mining-Based Anti-Money Laundering Research, Journal of Money Laundering Control, Vol. 10, 二氧化氮, 2007.
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
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
Mao Ye*, Global convergence analysis of a‘Non-negative ICA’algorithm, IEEE Trans. Neural Networks. Vol. 17, No. 1, pp.523-526. JANUARY. 2006
Mao Ye*, Global convergence analysis of a self-stabilized MCA learning algorithm, Neurocomputing. Vol. 67C pp 321-327. 2005
Mao Ye*, Zhang Yi, Complete Convergence of Competitive Neural Networks with Different 时间 Scales , Neural processing letters. Vol. 21, No. 1, pp. 53 - 60. 2005
Mao Ye*, Zhang Yi, Jianchen Lv, A globally convergent pca learning algorithm, Neural Computing and Applications. Vol. 14, No. 1, pp. 18-24. 2005
Mao Ye*, Existence and AGB星 stability of relaxation discrete shock profiles, 数学 of Computation, Vol.73, pp.1261-1296. 2004
Mao Ye*, Numerical boundary layers of conservation laws with relaxation extension, Applied Numerical Mathematics, Vol. 51(2-3), pp 385-405. 2004.
教学成就
本科生课程:
2013-2014,秋季,数据库系统原理
2014-2016,秋季,学术规范与论文写作
社会活动
国际神经网络研讨会(ISNN2005重庆市,ISNN2007南京市)程序委员会成员(PC Member)。
2006年通讯,电路与系统国际会议(ICCCAS’06桂林)程序委员会成员(PC Member)。
第2届高级数据挖掘与应用国际会议(西安ADMA’06)程序委员会成员(PC Member)。
2006年国际神经网络研讨会(ISNN2006成都)出版委员会主席。
(b)以下期刊常期审稿人: IEEE Trans. Neural Networks, IEEE Trans. Sys. Man. Cybernetics, Part B,Neural Computing \u0026 Applications, IEEE Signal Processing Letters。
计算机学会计算机视觉专委会,多媒体计算专委会委员。中科院专业领域2区期刊Engineering Applications of Artificial Intelligence编委(AE)
参考资料
目录
概述
人物经历
教育经历
工作经历
主要成就
科研成就
教学成就
社会活动
参考资料