黄雅平

博士、教授

基本信息

办公电话:51688516 电子邮件: yphuang@bjtu.edu.cn
通讯地址:北京交通大学9号教学楼北510 邮编:100044

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;

工作经历

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。

研究方向

  • 机器学习与认知计算
  • 人工智能及应用
  • 应用安全
  • 计算机技术
  • 软件工程
  • 人工智能
  • 网络与信息安全

招生专业

  • 计算机科学与技术硕士
  • 网络空间安全硕士
  • 计算机技术硕士
  • 软件工程硕士
  • 人工智能硕士
  • 计算机科学与技术博士
  • 网络空间安全博士
  • 网络与信息安全硕士
  • 计算机技术博士

科研项目

  • 北京交通大学: 高铁动车组故障数据挖掘与分析技术服务, 2021-2022
  • 北京交通大学: 接触网1C波形数据预处理及支柱识别算法, 2020-2021
  • 北京交通大学: 轨道设施外观状态的三维数据分析算法, 2021-2023
  • 北京交通大学: 限界数据采集与分析软件功能扩展开发, 2020-2023
  • 北京交通大学: 限界数据采集与分析功能扩展与平台升级开发, 2019-2022
  • 北京交通大学: 借助眼动仪研究大熊猫视觉通讯行为, 2019-2020
  • 基本科研业务费重点项目: 基于计算机视觉的高速铁路运行环境感知与安全监测, 2019-2024
  • 北京交通大学: 轨道板裂缝自动检测算法和标注平台开发服务, 2019-2021
  • 北京交通大学: 铁路扣件缺损在线学习识别算法研究, 2016-2021
  • 北京交通大学: 限界数据采集与分析软件开发, 2015-2018
  • 北京市自然基金“面上”: 面向图像分类任务的特征选择问题研究, 2015-2017
  • 北京市自然基金“面上”: 钢轨表面缺陷检测的稀疏分析方法研究, 2014-2016
  • 北京市科委: 基于大数据的交通计算若干问题研究, 2013-2014
  • 北京交通大学: 钢轨表面擦伤识别算法研究及测试, 2013-2014
  • 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, 2013-2016
  • 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, 2013-2016
  • 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, 2011-2013
  • 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, 2011-2014
  • 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, 2010-2012
  • 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, 2009-2011
  • 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, 2009-2011
  • 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, 2008-2008
  • 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, 2007-2009
  • 国家自然科学基金“面上”: 视知觉组织的神经计算模型, 2008-2010
  • 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, 2004-2006
  • 国家自然科学基金: 知识可增殖人工神经网络并行模型, 2000-2000
  • 教育部: 视觉神经处理模式的信息有效编码研究, 2003-2005
  • 博士点基金: 知觉组织感知机理和算法研究, 2006-2008

教学工作

      主讲本科生课程“数据结构


论文/期刊

近年来在TPAMITIP、TMM、TCSVT等期刊,以及ICCVECCVACM MM等会议上发表多篇高水平论文。

微软学术主页: https://academic.microsoft.com/author/2102780747/publication/search?q=Yaping%20Huang&qe=Composite(AA.AuId%253D2102780747)&f=&orderBy=0

DBLP主页: https://dblp.org/pid/62/6615.html

2021-2019

[1]     Mengyang Pu, Yaping Huang, Qingji Guan, and Haibin Ling. “RINDNet: Edge Detection for Discontinuity inReflectance, Illumination, Normal and Depth”. In International Conference on Computer Vision (ICCV), 2021. (Oral)

[2]     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, 43(4): 1239-1253, 2021.

[3]     Qingji Guan, Yaping Huang, Yawei Luo, Ping Liu, Mingliang Xu, and Yi Yang, “Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray images”, IEEE Transactions on Image Processing, 30: 2476-2487, 2021.

[4]     Rumeng Yi and Yaping Huang, "TC-Net: Detecting Noisy Labels via Transfom", IEEE Transactions on MultimediaDOI: 10.1109/TMM.2021.3115635, 2021.

[5]     Yanting Pei, Yaping Huang and Xinyuan Zhang, "Consistency Guided Network for Degraded Image Classification," IEEE Transactions on Circuits and Systems for Video Technology, 31(6): 2231-2246, 2021.

[6]     Xue Lin, Qi Zou, Xixia Xu, Yaping Huang and Yi Tian, “Motion-Aware Feature Enhancement Network for Video Prediction”, IEEE Transactions on Circuits and Systems for Video Technology, 31(2): 688-700, 2021.

[7]     Yi Tian, Yaping Huang, Wanru Xu, and Yu Kong, “Coupling Adversarial Graph Embedding for Transductive Zero-Shot Action Recognition”, Neurocomputing, 452: 239-252 2021.

[8]     Chunxue Shi and Yaping Huang, “Cap-Count Guided Weakly Supervised Insulator Cap Missing Detection in Aerial Images”, IEEE Sensors Journal, 21(1): 685-691, 2021.

[9]     Xingyuan Zhang, Yaping Huang, Yang Mi, Yanting Pei, Qi Zou and Song Wang. “Video Sketch: A Middle-level Representation for Action Recognition”, Applied Intelligence, 51(4): 2589-2608, 2021.

[10]     Runsheng Zhang, Yaping Huang, Mengyang Pu, Jian Zhang, Qingji Guan, Qi Zou and Haibin Ling, "Object Discovery From a Single Unlabeled Image by Mining Frequent Itemsets With Multi-scale Features," IEEE Transactions on Image Processing, 29: 8606-8621, 2020.

[11]   Qingji Guan and Yaping Huang, “Multi-label Chest X-ray Image Classification via Category-wise Residual Attention Learning”, Pattern Recognition Letters, 130: 259-266, 2020.

[12]   Xingyuan Zhang, Yaping Huang, Qi Zou, Yanting Pei, Runsheng Zhang and Song Wang, “A Hybrid Convolutional Neural Network for Sketch Recognition”, Pattern Recognition Letters, 130: 73-82, 2020.

[13]   Qingji Guan, Yaping Huang, Zhun Zhong, Zhedong Zheng, Liang Zheng, and Yi Yang, “Thorax disease classification with attention guided convolutional neural network”, Pattern Recognition Letters, 131: 38-45, 2020.

[14]   Dianzhuan Jiang, Shengsheng Zhang, Yaping Huang, Qi Zou, Xingyuan Zhang, Mengyang Pu and Junbo Liu, “Detecting Dense Text in Natural Images”, IET Computer Vision, 14(8): 597-604, 2020.

[15]   Xixia Xu, Qi Zou, Xue Lin, Yaping Huang, and Yi Tian. “Integral Knowledge Distillation for Multi-Person Pose Estimation”, IEEE Signal Processing Letters, 27: 436-440, 2020.

[16]   张兴园,黄雅平,邹琪,裴艳婷,基于草图纹理和形状特征融合的草图识别,自动化学报,doi: 10.16383/j.aas.c200070, 2020.

[17]   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.

[18]   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.

[19]   刘丽英,田媚,黄雅平,邹琪,融合双向注意的全卷积编解码显著区域检测,计算机辅助设计与图形学学报,31(7): 1139-1147, 2019.


2018-2016

[20]   Mengyang Pu, Yaping Huang, Qingji Guan, and Qi Zou, “GraphNet: Learning Image Pseudo Annotations for Weakly-Supervised Semantic Segmentation”, In ACM International Conference on Multimedia (ACM MM), pages 483-491, 2018. (Oral)

[21]   Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu and Song Wang, “Does Haze Removal Help CNN-based Image Classification?”, In European Conference on Computer Vision (ECCV), pages 697-712, 2018.

[22]   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 Transactions on Intelligent Transportation Systems, 19(6): 1950-1961, 2018.

[23]   Xingyuan Zhang, Yaping Huang, Qi Zou, Qingji Guan, and Junbo Liu, "Making better use of edges for sketch generation," Journal of Electronic Imaging, 27(6): 063006, 2018.

[24]   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.


2015-2013

[25]   Qi Zou, Haibin Ling, Siwei Luo, Yaping Huang, and Mei Tian, “Robust Nighttime Vehicle Detection by Tracking and Grouping Headlights", IEEE Transactions on Intelligent Transportation Systems, 16(5): 2838 – 2849, 2015.

[26]   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.

[27]   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, 5(6): 835-844, 2014.

[28]   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.

[29]   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.

[30]   吕国豪,黄雅平,罗四维,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.

[31]   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.

[32]   Shengchun Wang, Siwei Luo, Yaping Huang, Jiang-Yu Zheng, Dai Peng, and Han Qiang, “Rending Railway Scenes in Cyberspace Based on Route Panoramas”, In International Conference on Cyberworlds, pages 12-19, 2013.

[33]   Shengchun Wang, Jiang-Yu Zheng, Siwei Luo, Xiaoyue Luo, Yaping Huang, and Dalong Gao. “Route Panorama Acquisition and Rendering for High-speed Railway Monitoring”, In IEEE International Conference on Multimedia and Expo (ICME), pages 1-6, 2013.


2012-2010

[34]   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.

[35]   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,35(4): 817-826, 2012.

[36]   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,32(9): 1-8,2012. 

[37]   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.

[38]   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.

[39]   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.

[40]   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.

[41]   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.

[42]   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.

[43]   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.


2009-2008

[44]   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.

[45]   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.

[46]   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.

[47]   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

  1. 视觉信息认知计算理论,科学出版社,2010,第二完成人;
  2. 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。

专利

软件著作权

获奖与荣誉

  1. 2010-11,北京交通大学“青年科技之星” ;
  2. 2010-9,智谨奖教金“优秀青年教师”奖;
  3. 2010-6,红果园“双百”人才(D 类);
  4. 2009-9,优秀主讲教师 。

社会兼职

IEEE 会员。担任IEEE Trans. on Multimedia、IEEE Trans. on CSVT、IEEE Trans. on Medical Imaging、 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AAAI、ICPR、ICME 等国际会议审稿人。