张洪刚

 学历: 工学博士

出生年月:1974.5

籍贯:山东省临朐县

单位:北京邮电大学网络搜索中心

职务职称:博士生导师,副教授,网络搜索教研中心主任

电话:010-62283059-1003

Mail: zhhg@bupt.edu.cn

 教育经历

2009.5至今        北京邮电大学信息与通信工程学院    博士生导师,副教授

2007.7-2008.7     卡耐基梅隆大学计算机科学学院           访问学者

2005.6- 现在      北京邮电大学 信息工程学院        副教授

2003.3- 2005.6     北京邮电大学 信息工程学院        讲师

1999.9-2003.3      北京邮电大学 信号与信息处理专业  工学博士

1996.9-1999.3      北京邮电大学 信号与信息处理专业  工学硕士

1992.9-1996.7      山东大学     通信与电子学系统专业  学士

成员 \Membership

IEEE 高级会员,中国计算机学会(CCF)计算机视觉专业委员会委员

科研经历:

科研经历:
1. 冠脉造影图像的智能识别与辅助诊断系统的研发,北京市科委重点项目,2018.1-2021.12,项目负责人,项目编号:Z181100001918005
2. 基于深度学习的邮箱数据平台升级研究,横向课题,2017.9-2018.9,项目负责人,项目编号:S2017106;
3. 弱监督谱聚类学习及其在百万级面部表情自动检测技术中的应用,国家自然基金项目,2017.9-2021.12,项目主研人,项目编号:61701032;
4. 基于深度学习的心血管造影图像的识别与判读,横向课题,2016.9-2019.9,项目负责人,项目编号:A2016137;
5. 草图的文本描述及其图像检索算法,国家自然基金项目,2016.9-2019.12,项目主研人,项目编号:61601042
6. 基于认知的图像不变特征提取,国家自然基金项目,2012-2016,项目负责人,项目编号:61175011;
7. 基于非高斯跨域分析的多视角深度图增强方法研究,北京市自然科学基金项目,2016.4-2018.12,项目主研人,项目编号:4162044;
8. 基于非高斯概率模型的跨域视觉分析 ,国家自然科学基金国际(地区)合作与交流项目,2015.7-2017.3,项目主研人,项目编号:61511130081;
9. 视频摘要及应用系统,横向课题,2015.1-2017.1,项目负责人,项目编号:A2015008;
10. 层次化海量图像型垃圾邮件过滤体系中的关键问题研究,2012-2015,项目主研人,项目编号:61171193;
11. 草图的文本描述及其图像检索算法,国家自然基金青年科学基金,2017.1-2019.12,项目主研人,项目编号:61601042;
12. 违法停车检测系统,NEC中国研究院,2012.8-2013.8,项目负责人;
13. 自动场景分类系统开发,华为基金,2012.3-2013.2,项目负责人;
14. 智能视频内容综合处理系统,横向课题,2012.3-2013.2,项目负责人;
15. 互联网商品图像检索,北京邮电大学青年科研创新项目,2011.6-2012.6,项目负责人;
16. 交通视频中车辆目标检测系统,横向课题,2011.3-2013.3,项目负责人;
17. 基于机器视觉的车辆自动导向系统,横向课题,2011.3-2013.3,项目负责人;
18. 移动互联网中网络安全与信息安全技术研究,2011.1-2013.1,项目主研人,项目编号:2011ZX03002-005-01。
19. 基于3G手机拍照模式的图片检索,高通公司研究基金,2011.1-2011.12, 项目负责人;
20. 基于流形学习的脱机汉字识别新方法,教育部项目,2010.3-2011.3, 项目负责人
21. 基于图像识别的移动搜索技术,北京邮电大学青年科研创新项目,2009.12-2011.7, 项目负责人
22. WAP图片内容过滤系统,横向课题,2010.5-2011.5,项目负责人
23. 基于3G手机的远程人脸比对系统,横向课题,2009.6-2010.6,项目负责人
24. DSP环境下视频检测系统,横向课题,2009.3-2010.3,项目负责人
25. 演进型网络多媒体过滤器EMF,863项目,2008.1-2009.12,主要成员,项目编号:2007AA01Z417
26. 交通视频智能处理系统,横向课题,2006.3-2007.3,项目负责人
27. 广播语音声学建模中的主动学习演进,国家自然基金项目,2006.3-2009.3,主要成员,项目编号:60705019;

 

近期发表的与本项目相关的主要论著目录

(1) 国际期刊

  1. Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang, Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-based Image Retrieval, IEEE Transactions on Image Processing, in press
  2. Jianlou Si, Honggang Zhang, Chunguang Li, Jun Guo, Spatial Pyramid based Statistical Features for Person Re-Identification: A Comprehensive Evaluation, IEEE Trans. Systems, Man, and Cybernetics: Systems, 48 (7) :1140-1154, 2018.
  3. Shuai Di, Honggang Zhang, Chun-Guang Li, Xue Mei, Danil Prokhorov, and Haibin Ling. Cross-domain traffic scene understanding: a dense correspondence based transfer learning approach, IEEE Transactions on Intelligent Transportation Systems, 19 (3) :745-757, 2018
  4. Kaili Zhao, Wen-sheng Chu, Fernando De la Torre, Jeff F. Cohn, Honggang Zhang, Joint Patch and Multi-Label Learning for Facial Action Unit Detection and Holitic Facial Expression, IEEE Trans. Image Processing, 25(8):3931-3946, 2016.
  5. Zhanyu Ma, Andrew E. Teschendorff, Arne Leijon, Yuanyuan Qiao, Honggang Zhang, and Jun Guo,Variational Bayesian Matrix Factorization for Bounded Support Data, IEEE trans. Pattern Analysis and Machine intelligence, 37(4):876-889, 2015.
  6. Kaili Zhao, Honggang Zhang, Zhanyu Ma, Yi-Zhe Song, Jun Guo. Multi-label learning with prior knowledge for facial expression analysis. Neurocomputing,157:280–289, 201
  7. Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang, and Zheng-hua Tan. Im2Sketch: Sketch Generation by Unconflicted Perceptual Grouping. Neurocomputing,165:338-349, 2015.
  8. Wenting Lu, Lei Li, Jingxuan Li, Tao Li, Honggang Zhang, Jun Guo, A multimedia information fusion framework for web image categorization, MULTIMEDIA TOOLS AND APPLICATIONS, 70(3): 1453-1486, Jun 2014
  9. Le Li, Jianjun Yang, Kaili Zhao, Yang Xu, Honggang Zhang, Zhuoyi Fan, Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy, Journal of Computers, 9(6): 2570-2579, 2014.
  10. Honggang Zhang, Kaili Zhao, Yizhe Song, Jun Guo, Text Extraction from Natural Scene Image : A Survey, Neurocomputing, 122(25):310-323, 2013.. SCI:233SQ
  11. Wenting Lu, Jia Li, Tao Li, Honggang Zhang, Jun Guo. Web Multimedia Object Classification using Cross-Domain Correlation Knowledge, IEEE Trans. Mulitimedia, 15(8):1920-1929 2013.
  12. Qun Li, Honggang Zhang, Jun Guo, Bir Bhanu, Le An. Reference-based scheme combined with K-SVD for scene image categorization. IEEE Signal Process. Lett., 20(1):67-70. 2013. SCI: 050AS
  13. Qun Li, Honggang Zhang, Jun Guo, Bir Bhanu. Learning reference-based representation for Image categorization. Journal of Information and Computational Science, 9(15),:4261-4269, 2012.
  14. Qun Li, Honggang Zhang, Jun Guo, Bir Bhanu, Le An. Improving Bag-of-Words Scheme for Scene Categorization. Journal of China Universities of Posts and Telecommunications, 19 (supplement 2):166-171, 2012,
  15. Honggang Zhang, Weihong Deng, Jun Guo, Yang Jie, Locality Preserving and Global Discriminant Projection with Prior Information, Machine Vision and Applications, 21(4):577-585, 2010. SCI: 592XR
  16. Weihong Deng, Jun Guo, Jiani Hu, Honggang Zhang, Comment on “100% accuracy in automatic face recognition”, SCIENCE, Vol. 321 , Issue: 5891, AUG 15 200SCI: 337LD
  17. Weihong Deng, Jiani Hu, Jun Guo, Honggang Zhang, Comments on “Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Application to Face and Palm Biometrics”, IEEE trans. Pattern Analysis and Machine intelligence, 30(8):1503-1504, 2008. SCI: 312OC, EI :082811356850.
  18. Yanyan Gao, Honggang Zhang, Jun Guo, Yudong Cao, “Empirical comparison between CENTRIST and LBP for CBIR”, International Journal of Advancements in Computing Technology (IJACT), 2012,  4(1):42-49. (EI: 20120614757926).
  19. Yanyan Gao, Honggang Zhang, Jun Guo. A novel keypoint detection in wavelet pyramid space. International Journal of Digital Content Technology and its Applications, Vol. 5, No. 6, pp. 55-62, 2011. EI:20112814133875

(2) 国际会议

 

  1. Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang, Deep Attentive Tracking via Reciprocative Learning, in Neural Information Processing Systems(NIPS), 2018
  2. Li, K. Pang, J. Song, Y. Song, T. Xiang and Honggang Zhang, Universal Sketch Perceptual Grouping, in Proc. European Conference on Computer Vision (ECCV), Munich, Germany, September 2018
  3. Jianlou Si, Honggang Zhang, Chunguang Li, et al. Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City, USA, June. 2018.
  4. Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang, Residual Attention Network for Image Classification, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Hawaii, USA, Jul. 21-26, 2017.
  5. Shi Pu, Honggang Zhang, Kaili Zhao, Structure and Appearance Preserving Network Flow for Multi-object Tracking, Proc. of International Conference on Pattern Recognition(ICPR), Cancún, Mexico, Dec. 4-8, 2016.
  6. Junjian Zhang, Chunguang Li, Honggang Zhang, Jun Guo, Low-Rank and Structured Sparse Subspace Clustering, Visual Communication and Image Processing(VCIP), Chengdu, China, Nov. 2016.
  7. Yichuan Hu, Ke Li, Honggang Zhang, Cross-Modal Face Matching: Tackling Visual Abstraction using Fine-Grained Attributes, Visual Communication and Image Processing(VCIP), Chengdu, China, Nov. 2016.
  8. Shuai Di, Honggang Zhang, Xue Mei, Danil Prokhorov, Haibin Ling. A Benchmark for Cross-Weather Traffic Scene Understanding, in Proc. of IEEE Intelligent Transportation Systems. Brazil 2016.
  9. Yonggang Qi, Yi-Zhe Song, Honggang Zhang and Jun Liu. Sketch-based Image Retrieval via Siamese Convolutional Neural Network, in Proc. of IEEE Conference on Image Processing (ICIP), Phoenix, USA, Sep. 2016.
  10. Kaili Zhao, Wen-sheng Chu, Honggang Zhang. Deep Region and Multi-label Learning for Facial Action Unit Detection, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Les Vegas, USA, Jun. 27-30, 2016.
  11. Chun-Guang Li, Zhouchen Lin, Honggang Zhang, and Jun Guo: Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning, in Proc. of IEEE ICCV, Santiago, Chile, Dec. 13-16, 2015.
  12. Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo. Making Better Use of Edges via Perceptual Grouping. in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Boston, USA, Jun. 7-12, 2015.
  13. Kaili Zhao, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Honggang Zhang, Joint Patch and Multi-label Learning for Facial Action Unit Detection, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Boston, USA, 7-12, 2015.
  14. Zhen Qin, Chunguang Li, Honggang Zhang, Jun Guo: Improving Tag Matrix Completion for Image Annotation and Retrieval, in Proc. of IEEE Visual Communication and Image Processing(VCIP), Singapore, Dec. 13-16, 2015.
  15. Shuai Di, Honggang Zhang, Xue Mei, Danil Prokhorov and Haibin Ling:Spatial Prior for Nonparametric Road Scene Parsing, in Proc. of IEEE Intelligent Transportation Systems, Canary Islands, Spain, 15-18, 2015.
  16. Jianlou Si, Honggang Zhang, and Chun-Guang Li, Regularization in Metric Learning for Person Re-Identification, in Proc. of IEEE Conference on Image Processing(ICIP), Quebec, Canada, Sept. 27-30, 2015.
  17. Kaili Zhao, Honggang Zhang, Jun Guo, An adaptive Group Lasso based multi-label regression approach for facial expression analysis. In Proc. of International Conference on Information Processing (ICIP) , Paris, Oct. 2014.
  18. Jianlou Si, Honggang Zhang, Chun-Guang Li, Person Re-Identification via Region-of-Interest based Features, In Proc. of IEEE Visual Communications and Image Processing Conference (VCIP), Malta, Dec. 2014.
  19. Le Li, Jianjun Yang, Yang Xu, Zhen Qin, Honggang Zhang, DOCUMENTS CLUSTERING BASED ON MAX-CORRENTROPY NONNEGATIVE MATRIX FACTORIZATION, International Conference on Machine Learning and Cybernetics (ICMLC), Lanzhou, China, Jun. 2014.
  20. Zhanyu Ma, Rainer Martin, Jun Guo, Honggang Zhang, NONLINEAR ESTIMATION OF MISSING △LSF PARAMETERS BY A MIXTURE OF DIRICHLET DISTRIBUTIONS, IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP’14), Florence, Italy, May. 2014
  21. Kaili Zhao, Honggang Zhang, Mingzhi Dong, Jun Guo, Yonggang Qi, Yi-Zhe Song, A MULTI-LABEL CLASSIFICATION APPROACH FOR FACIAL EXPRESSION RECOGNITION, Visual Communication and Image Processing(VCIP), Kuching, Malaysia, Nov.2013.
  22. Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song, Zheng-Hua Tan, PERCEPTUAL GROUPING VIA UNTANGLING GESTALT PRINCIPLES, Visual Communication and Image Processing(VCIP), Kuching, Malaysia, Nov.2013.
  23. Mingzhi Dong, Liang Yin, Weihong Deng, Li Shang, Jun Guo, Honggang Zhang, A Maximum K-Min Approach for Classification, In Proc. Of The Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, US, July 2013
  24. Qun Li, Zhen Qin, Lunshao Chai, Honggang Zhang, Jun Guo, Bir Bhanu. Representative referenceset and betweenness centrality for scene image categorization. In Proc. of International Conference on Information Processing (ICIP), Melbourne, Australia, Sep. 2013. 20141117461962
  25. Lunshao Chai, Zhen Qin, Qun Li, Honggang Zhang, Jun Guo. Ordered histogram of shapemes: An ordered Bag-of-Features based shape descriptor for efficient shape matching. In Proc. of International Conference on Information Processing (ICIP), Melbourne, Australia, Sep. 2013.
  26. Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song, Sketching By Perceptual Grouping, In Proc. of International Conference on Information Processing (ICIP), Melbourne, Australia, Sep. 2013.
  27. Lunshao Chai, Zhen Qin, Qun Li, Honggang Zhang, Jun Guo, Bir Bhanu. MFSC: A new shape descriptor with robustness to deformations, In Proc. Of IEEE International Conference on Multimedia and Expo Workshops (ICMEW), San Jose, Jul. 2013.
  28. Lunshao Chai, Zhen Qin, Qun Li, Honggang Zhang, Jun Guo, Bir Bhanu. A new multi-scale fuzzy model for Histogram-Based Descriptors, In Proc. Of IEEE International Conference on Multimedia and Expo Workshops (ICMEW), San Jose, Jul. 2013.
  29. Qun Li, Honggang Zhang, Jun Guo, Le An, Bir Bhanu. Codebook Optimization using word activation forces for scene categorization. In Proc. of International Conference on Information Processing (ICIP), 2012, pp.3129-3132. (EI 收录,检索号:20131116112977)
  30. Lunshao Chai, Zhen Qin, Honggang Zhang, Re-ranking using compression-based distance measure for content-based commercial product image retrieval, IEEE International Conference on Image Processing(ICIP), Orlando, Sep. 2012
  31. Kaili Zhao, Can Cao, Honggang Zhang, Yizhe Song, A DATASET FOR SCENE CLASSIFICATION BASED ON CAMERA METADATA, Proceedings of International Conference on Network Infrastructure and Digital Content( IC-NIDC), Beijing, Sep. 2012.
  32. Yixin Hou, Bo Zhao, Honggang Zhang, Hanbing Yan, A FAST IMAGE SPAM FILTER BASED ON ORB, Proceedings of International Conference on Network Infrastructure and Digital Content( IC-NIDC), Beijing, Sep. 2012.
  33. Chai Lunshao, Honggang Zhang, Yu Jie, Qi Yonggang, Multi-Feature Content-based Product Image Retrieval based on Region of Main Object, Proceedings of ICICS, Singapore, 2011.
  34. Yanyan Gao, Honggang Zhang, Jun Guo. Multiple features-based image retrieval. IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT), pp.240-244, 2011.
  35. Wang Kejia, Honggang Zhang, Ping Ziliang, Chinese Chess Character Recognition with Radial Harmonic Fourier Moments, Proceedings of International Conference on Documents Analysis and Recognition (ICDAR’11), Beijing, 2011.

(3) 国内期刊

[1]   王叶,张洪刚,方旭,郭军,基于改进的LBP的低分辨率车牌汉字识别,中文信息学报,23(5):86-91,2009.

[2]   陈光,张洪刚,郭军,基于非线性归一化的加权动态网格手写汉字特征抽取,中文信息学报,No.2,2007

[3]   张洪刚,陈光,刘刚,郭军,采用信号匹配的支票图像二值化,北京邮电大学学报, 29(2): 46-49,2006, EI: 2006279980271

[4]   陈光,张洪刚,郭军,基于余弦整形变换的手写汉字训练样本生成方法,北京邮电大学学报,29(9):118-121, 2006, EI: 20070310362290

[5]   刘刚、张洪刚、郭军,不同训练样本对识别系统的影响,计算机学报。28(11):1923-1928,2005, EI: 2005509589884

 

(4) 出版的著作

[1] 张洪刚,陈光,郭军,图像处理与识别,北京邮电大学出版社,2006.9