张洪刚

 个人简介

现任北邮人工智能与网络搜索中心主任,IEEE高级会员,中国研究型医院学会超声医学专业委员会副主任,中国计算机学会(CCF)计算机视觉专业委员会委员,博士生导师,副教授。1996年获山东大学学士学位,1999年3月与2002年7月分别获北京邮电大学信息工程学院工学硕士和博士学位,2007年7月至2008年7月在美国卡耐基梅隆大学计算机学院做访问学者。目前研究的主要领域有:医疗图像智能识别、计算机视觉和模式识别。承担或参与国家自然基金面上项目、国家重大专项、北京市科委重点项目、横向项目40余项,发表包括国际级顶级期刊TPAMI, SCIENCE, JACC, TIP, MVA, NeurIPS, CVPR, ICCV, ECCV, AAAI 在内的论文120多篇,所指导的创业项目“小学宝”获2017年第三届中国“互联网+”大学生创新创业大赛北京赛区一等奖,2018年获第四届中国“互联网+”大学生创新创业大赛铜奖。

 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,中国研究型医院学会超声医学专业委员会副主任,中国计算机学会(CCF)计算机视觉专业委员会委员

部分科研项目:

  1. 冠脉造影的智能诊断与三维重建,国家自然基金面上项目,2021.1-2024.12,项目负责人,项目编号:62076034
  2. 跨域面部动作单元检测,国家自然基金面上项目,2021.1-2024.12,项目主研人,项目编号:62076036
  3. 基于同地点场景稠密匹配的恶劣天气道路场景解析,国家自然科学基金青年科学基金项目(合作),2019.1-2021.12,项目负责人,项目编号:61806184
  4. 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
  5. 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;
  6. 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;
  7. 草图的文本描述及其图像检索算法,国家自然基金青年基金,2016.9-2019.12,项目主研人,项目编号:61601042
  8. 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;
  9. 视频摘要及应用系统,横向课题,2016.1-2017.1,项目负责人,项目编号:A2015008;

 

近期发表的主要论著目录

(1) 部分国际期刊

  1. Xiaolin Song, Binghui Chen, Pengyu Li, Biao Wang, Honggang Zhang, PRNet++: Learning towards generalized occluded pedestrian detection via progressive refinement network, Neurocomputing, 482:98-115, 2022
  2. Xuqing Liu, Yunfei Huang, Lihua Xie, Xiaofei Wang, Changdong Guan, Tianming Du, Donghao Chen, Tongqiang Zou, Zhenpeng Shi, Ang Li, Senxiang Zhao, Yang Xu, Honggang Zhang, Bo Xu. Automatic construction of coronary artery tree structure based on vessel blood flow tracking. Catheterization and Cardiovascular Interventions, 2022; 1- 8. doi:10.1002/ ccd.30061
  3. Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan, Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k -space data interpolation, Medical Image Analysis, 72 (2021) 102098
  4. Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang, Learning Recurrent Memory Activation Networks for Visual Tracking, IEEE Transactions on Image Processing, Vol. 30 725-738, 2021
  5. Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song, Towards Practical Sketch-based 3D Shape Generation: The Role of Professional Sketches, IEEE Transactions on Circuits and Systems for Video Technology, 31(9):3518-3528, 2021
  6. Tianming Du, Lihua Xie, Honggang Zhang, Xuqing Liu, Xiaofei Wang, Donghao Chen, Yang Xu, Zhongwei Sun, Wenhui Zhou, Lei Song, Changdong Guan, A.J. Lansky, Bo Xu, Automatic and multimodal analysis for coronary angiography: training and validation of a deep learning architecture, EuroIntervention, 17(1):32-+, 2021
  7. Shuai Di, Qi Feng, Chun-Guang Li, Honggang Zhang, Chiu C. Tan, and Haibin Ling, Rainy Night Scene Understanding with Near-Scene Semantic Adaptation, IEEE Transactions on Intelligent Transportation Systems , 22(3):1594-1602, 2021
  8. Jin Feng, Peng Xu, Shi Pu, Kaili Zhao, Honggang Zhang, Robust Visual Tracking by Embedding Combination and Weighted-Gradient Optimization, Pattern Recognition, 104(2020) 107339, 2020
  9. Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales, Honggang Zhang, Towards Deep Universal Sketch Perceptual Grouper, IEEE Transactions on Image Processing, 28(7): 3219-3231, 2019
  10. 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, 26(12):4157-4167, 2017.
  11. 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.
  12. 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
  13. 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.
  14. 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.
  15. 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
  16. 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.
  17. Honggang Zhang, Kaili Zhao, Yizhe Song, Jun Guo, Text Extraction from Natural Scene Image : A Survey, Neurocomputing, 122(25):310-323, 2013.. SCI:233SQ
  18. 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

(2) 部分国际会议论文

  1. Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao, RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training, in Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, from Jul. 23-29, 2022.
  2. Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song, Finding Badly Drawn Bunnies, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), New Orleans, Louisiana, USA, Jun. 19-23, 2022
  3. Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song, SketchAA: Abstract Representation for Abstract Sketches, in Proc. of International Conference on Computer Vision (ICCV), Canada, Oct. 11-17, 2021
  4. Yang Tang, Wangding Zeng, Honggang Zhang, PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback Learning, in Proc. of International Conference on Computer Vision (ICCV), Canada, Oct. 11-17, 2021
  5. Xiaolin Song, Kaili Zhao, Wen-sheng Chu, Honggang Zhang, Jun Guo, Progressive Refinement Network for Occluded Pedestrian Detection, in Proc. European Conference on Computer Vision (ECCV), Aug. 23-28, 2020
  6. Lan Yang, Aneeshan Sain, Linpeng Li,Yonggang Qi, Honggang Zhang, Yi-Zhe Song, S3NET: Graph Representational Network for Sketch Recognition, In Proc. of IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, Jul. 6-10, 2020.
  7. Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin, Self-Supervised Convolutional Subspace Clustering Network, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Long Beach, USA, Jun. 16-20, 2019.
  8. Pang, Ke. Li, Y. Yang, Honggang Zhang, T. Hospedales, T. Xiang and Y. Song, Generalising Fine-Grained Sketch-Based Image Retrieval, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Long Beach, USA, Jun. 16-20, 2019.
  9. Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang, Deep Attentive Tracking via Reciprocative Learning, in Neural Information Processing Systems(NeurIPS), 2018
  10. 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
  11. 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.
  12. 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.
  13. 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.
  14. 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 International Conference on Computer Vision (ICCV), Santiago, Chile, Dec. 13-16, 2015.
  15. 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.
  16. 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.

(3) 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

授权发明专利

  1. 一种语音线性预测编码模型的缺失值非线性估算方法,专利号:ZL 2014 1 0054042.3
  2. 基于贝叶斯分类器的文字字体判断设备及其方法,专利号:ZL 02 1 57957.1;
  3. 用于文字识别的训练样本自动挑选装置及其方法,专利号:ZL 02 1 57956.3。

获奖情况

  1. 2018年获第四届中国“互联网+”大学生创新创业大赛铜奖;
  2. 2017年获第三届中国“互联网+”大学生创新创业大赛北京赛区一等奖;
  3. 2016年获北京邮电大学优秀博士论文指导教师奖;

学生活动

2019年6月韩国济州岛之旅

2018年日本游轮之旅

2017年坝上草原

2016年怀柔秋游

2015年1月石京龙滑雪场

2014年1月平谷渔阳滑雪场

2013年香山CS

2012年秋游

2010年漂流