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个人简介

教育背景 1991.9‐1995.7:北京交通大学计算机科学技术系计算机软件专业,本科; 1995.9‐1998.4:北京交通大学计算机科学技术系计算机应用专业,硕士; 2000.9‐2004.3:北京交通大学计算机科学技术系信号与信息处理专业,博士; 1998.4 - 现在:北京交通大学计算机与信息技术学院任教; 2012 - 现在:教授,博士生导师。

研究领域

机器学习与认知计算 人工智能及应用 计算机技术(专业学位) 软件工程(专业学位) 人工智能技术(专业学位) 应用安全

科研项目 国家自然科学基金“面上”:深度学习理论及在图像识别中的应用研究,2013-01-01--2016-12-31,81.0万元,主持 北京市自然科学基金:“面向图像分类任务的特征选择问题研究”,2015-01-01--2017-12-31,18.0万元,主持 国家自然科学基金“面上”:基于人类感知机理的不变特征表示及其应用,2010-01-01--2012-12-31,31.0万元,主持 科技部“863”:基于视觉感知的智能计算模型及其关键技术研究,2007-07-12--2009-12-31,86.0万元,主持 基本科研业务费:基于视觉感知的高速铁路运行环境安全检测与预警,2011-07-01--2014-06-30,55.0万元,主持 北京市教委:北京市高等学校“青年英才计划”—缺陷检测理论及应用研究,2013-11-01--2015-12-31,15.0万元,参加 基本科研业务费:铁路安全运行环境检测中的图像增强技术研究,2014-01-01--2015-12-31,8.0万元,参加 北京市科委:基于大数据的交通计算若干问题研究,2013-11-01--2014-10-31,50.0万元,参加 北京交通大学:钢轨表面擦伤识别算法研究及测试,2013-09-06--2014-12-31,9.0万元,参加 其它:轨道交通基础设施服役状态监控的物联网技术研究,2013-01-01--2014-12-31,2.0万元,参加 国家自然科学基金“面上”:基于高速前向运动视频的运行环境检测模型,2013-01-01--2016-12-31,80.0万元,参加 博士点基金:以用户为中心的网格系统与服务,2012-01-01--2012-12-31,8.0万元,参加 北京市自然基金“面上”:模拟初级视皮层的视觉表象模型与验证,2011-01-01--2013-12-31,11.0万元,参加 北京交通大学:基于空间统计特性的云图视觉特征抽取算法开发与测试,2011-09-20--2013-09-20,12.0万元,参加 其它部市:缺陷检测算法及其在高速铁路轨道部件检测中的应用研究,2011-01-01--2012-12-31,4.0万元,参加 红果园:增强演示系统集成,2010-09-21--2011-05-21,15.0万元,参加 基本科研业务费:京沪高铁先导段基础设施监测信息管理、预测及辅助决策系统研究,2009-12-01--2012-12-31,14.0万元,参加 红果园:盔载感知增强系统样机研制,2009-12-01--2009-05-31,50.0万元,参加 北京市自然基金“面上”:人脑记忆机制启发下的视觉信息的表达与存储,2009-01-01--2011-12-31,11.0万元,参加 红果园:盔载感知增强系统研发,2008-07-01--2009-07-31,30.0万元,参加 国家自然科学基金“面上”:图像识别的多特征判别流形学习方法研究,2009-01-01--2011-12-31,32.0万元,参加 博士点基金:基于“中国科技论文在线”模式的科技论文网络发表,2008-01-01--2008-12-31,4.5万元,参加 国家自然科学基金“面上”:视知觉组织的神经计算模型,2008-01-01--2010-12-31,26.0万元,参加 博士点基金:知觉组织感知机理和算法研究,2006-01-01--2008-12-31,6.0万元,参加 北京交通大学:中国学术会议在线,2004-11-30--2005-11-30,10.0万元,参加 国家自然科学基金:基于人类视觉感知系统的有效编码模型,2004-01-01--2006-12-31,23.0万元,参加 北京交通大学:嵌入式软件开发,2003-11-01--2004-12-31,20.0万元,参加 教育部:在线期刊,2002-12-12--2003-12-12,15.0万元,参加 教育部:视觉神经处理模式的信息有效编码研究,2003-01-01--2005-12-30,8.0万元,参加 北京交大科技发展中心:《初高中基础知识同步训练》软件升级及开发,2002-01-30--2003-01-30,25.0万元,参加 北京交通大学:中央银行集中会计核算系统和后台程序实现,2001-11-06--2002-05-30,26.0万元,参加 北京交通大学:齐车公司生产经营信息发布系统软件设计与开发,2001-06-28--2002-12-30,26.0万元,参加 国家自然科学基金:知识可增殖人工神经网络并行模型,2000-01-12--2000-12-12,11.0万元,参加 教育部:教育部基金管理系统,2000-01-12--2000-12-12,6.0万元,参加 北京交通大学:支付业务接口部分程序编制及调试,1999-10-01--2000-12-01,25.0万元,参加 北京交通大学:小学生语文、数学思维训练课件制作,1999-04-01--2000-12-01,6.0万元,参加 北京交通大学:武汉铁路中心医院计算机管理系统软件,1999-03-01--2000-12-01,10.0万元,参加 北京交通大学:改进传奇电子教室,1999-01-01--2000-01-01,3.0万元,参加

近期论文

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论文/期刊 Yanting Pei, Yaping Huang, Qi Zou, Xingyuan Zhang, and Song Wang, “Effects of Image Degradation and Degradation Removal to CNN-based Image Classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2019.2950923, 2019. Junbo Liu, Yaping Huang, Qi Zou, Mei Tian, Shengchun Wang,Xinxin Zhao and Peng Dai,"Learning Visual Similarity for Inspecting Defective Railway Fasteners", IEEE Sensors Journal, 19(16): 6844-6857, 2019. Xingyuan Zhang, Yaping Huang, Qi Zou, Yanting Pei, Runsheng Zhang and Song Wang, “A Hybrid Convolutional Neural Network for Sketch Recognition”, Pattern Recognition Letters, DOI: 10.1016/j.patrec.2019.01.006, 2019. Junbo Liu, Yaping Huang, Qi Zou, and Shengchun Wang, “Learning Representative Features via Constrictive Annular Loss for Image Classification”, Applied Intelligence, 49(8), 3082-3092, 2019. Mengyang Pu, Yaping Huang, Qingji Guan, and Qi Zou, “GraphNet: Learning Image Pseudo Annotations for Weakly-Supervised Semantic Segmentation”, ACM Multimedia, 2018. (Oral) Yanting Pei, Yaping Huang, Qi Zou, and Song Wang, “Does Haze Removal Help Image Classification?”, European Conference on Computer Vision (ECCV), 2018. Qingji Guan, Yaping Huang, “Multi-label chest X-ray image classification via category-wise residual attention learning”, Pattern Recognition Letters, 2018. Qi Zou, Haibin Ling, Yu Pang, Yaping Huang, and Mei Tian, “Joint Headlight Pairing and Vehicle Tracking by weighted Set Packing in Nighttime Traffic Videos”, IEEE Transaction on Intelligent Transportation Systems. 19(6): 1950-1961, 2018. Peng Dai, Shengchun Wang, Yaping Huang, Hao Wang, Xinyu Du, and Qiang Han, “Visual Indexing of Large Scale Train-Borne Video for Rail Condition Perceiving”. IEICE Trans. on Information and System. E100-D(9): 2017-2025, 2017. Qi Zou, Haibin Ling, Siwei Luo, Yaping Huang, and Mei Tian, “Robust Nighttime Vehicle Detection by Tracking and Grouping Headlights", IEEE Transaction on Intelligent Transportation Systems, 16(5): 2838 – 2849, 2015. Shengchun Wang, Siwei Luo, Yaping Huang, Jiang yu Zheng, Dai Peng, and Han Qiang, “Railroad Online: Acquiring and Visualizing Route Panoramas of Rail Scenes”, The Visual Computer, 30(9): 1045-1057, 2014. Jie Lin, Ling-Yu Duan, Yaping Huang, Siwei Luo, Tiejun Huang, and Wen Gao, “Rate-adaptive Compact Fisher Codes for Mobile Visual Search”, IEEE Signal Processing letters, 21(2): 195-198, 2014. Yunguang Dou, Yaping Huang, Qingyong Li, and Siwei Luo, “A fast template matching-based algorithm for railway bolts detection”, International Journal of Machine Learning and Cybernetics, Springer, 5(6): 835-844, 2014. 吕国豪,罗四维,黄雅平,蒋欣兰,基于卷积神经网络的正则化方法,计算机研究与发展,51(9): 1891-1900, 2014. 李清勇,梁正平,黄雅平,史忠植,缺陷检测的稀疏表示模型及应用,计算机研究与发展,51(9): 1929-1935, 2014. 王胜春,罗四维,黄雅平,王亮,戴鹏,移动车载视频的立体全景图生成方法,光学学报,34(12): 1215005-1-1215005-9, 2014. 王哲,黄雅平,罗四维,王亮.基于成对累计量的自然图像拓扑表示模型。计算机学报,2012-04,4(35),817:826 王胜春,黄雅平,罗四维,吕国豪,蒋欣兰.基于折线采样的高分辨率成像系统设计。光学学报,2012-09,9(32),10031:10038 Qi Zou, Songnian Zhao, Zhe Wang, and Yaping Huang, “A neural computation model for bottom-up attention with invariant and overcomplete representation”, BMC Neuroscience, 13:145, DOI: 10.1186/1471-2202-13-145, 2012. Qi Zou, Zhe Wang, Siwei Luo,Yaping Huang and Mei Tian. “A computational coding model for saliency detection in primary visual cortex”, Chinese Science Bulletin, 57(30): 3943~3952, 2012. Yaping Huang, Siwei Luo, and Shengchun Wang, “Combining boundary and region information with bolt prior for rail surface detection”, IEICE Trans. on Information & System, E95-D(2): 690-693, 2012. Qingyong Li, and Yaping Huang.Thresholding Based on Maximum Weighted Object Correlation for Rail Defects Detection[J]。IEICE Transactions on Information and Systems,2012-10,7(E95-D),1819:1822 Zhe Wang, Yaping Huang, Siwei Luo, and Liang Wang, “Learning Topographic Representations of Nature Image with Pairwise Cumulant”, Neural Processing Letters, 34(2): 155-175, 2011. Yaping Huang, Jiali Zhao, Yunhui Liu, Siwei Luo, Qi Zou, and Mei Tian, “Nonlinear Dimensionality Reduction Using Temporal Coherence Principle”, Information Sciences, 181(16): 3284–3307, 2011. Liang Wang, Yaping Huang, Siwei Luo, Xiaoyue Luo, and Zhe Wang, “Image Deblurring with Filters Learned by Extreme Learning Machine”, Neurocomputing, 74(16): 2464-2474, 2011. Zhe Wang, Yaping Huang, Siwei Luo, and Liang Wang, “Complex Cell Descriptor Learning for Robust Object Recognition”. IEICE Trans. on Information & System, E94-D(7): 1502-1505, 2011. Shengchun Wang, Siwei Luo, Yaping Huang, Jiang-Yu Zheng, Dai Peng, and Han Qiang, “Rending Railway Scenes in Cyberspace Based on Route Panoramas”, Cyberworlds 2013, Yokohama, Japan, 2013. Shengchun Wang, Jiang-Yu Zheng, Siwei Luo, Xiaoyue Luo, Yaping Huang, and Dalong Gao. “Route Panorama Acquisition and Rendering for High-speed Railway Monitoring”, IEEE International Conference on Multimedia and Expo, San Jose, USA, 2013. Zhe Wang, Yaping Huang, Siwei Luo, and Liang Wang, “A Biologically Inspired System for Fast Handwritten Digit Recognition”, In IEEE International Conference on Image Processing (ICIP), pages 1749-1752, 2011. Yaping Huang, Jiali Zhao, Mei Tian, Qi Zou, and Siwei Luo, “Slow Feature Discriminant Analysis and its application on handwritten digit recognition”, In International Joint Conference on Neural Networks (IJCNN), pages 1294 - 1297, 2009. Zhe Wang, Siwei Luo, and Yaping Huang, “Learning adaptive correlations of independent components for complex cell modeling”, In International Conference on Artificial Intelligence and Computational Intelligence, pages 174-178, 2009. Qi Zou, Siwei Luo, Yaping Huang, and Yan Li, “Contour Grouping with Shape Manifold and Distance Transform”, In International Conference on Pattern Recognition (ICPR), pages 1-4, 2008. Jiali Zhao, Yaping Huang, Siwei Luo, Mei Tian, and Qi Zou, “Face recognition with Neighboring Discriminant Analysis”, In IEEE International Conference on Automatic Face and Gesture Recognition (FG),pages 1-6, 2008. 专著/译著 视觉信息认知计算理论,科学出版社,2010,第二完成人; 视觉感知系统信息处理理论,电子工业出版社,2006,第二完成人。

学术兼职

IEEE 会员。担任Pattern Recognition,Neural Processing Letters、Journal of Computer Science and Technology、计算机学报、自动化学报等期刊和ICPR、ICME 等国际会议审稿人。

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