温州大学数学与信息科学学院导师:张笑钦

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温州大学数学与信息科学学院导师:张笑钦

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温州大学数学与信息科学学院导师:张笑钦 正文


  个人简介:
  张笑钦:1982年11月出生,博士,副教授,硕士生导师,2005年-2010年接受中科院自动化所模式识别国家重点实验室与英国伦敦大学联合指导,获博士学位。已在国际著名学术期刊和顶级学术会议上发表学术论文30余篇,如IEEE Trans. on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Trans.on Image Processing, IEEE Trans. on Industrial Electronics, IEEE Trans. on Systems, Man and Cybernetics: Part A, IEEE Trans. on Circuits and Systems for Video Technology和Pattern Recognition等,以及国际计算机视觉大会(ICCV),国际计算机视觉和模式识别大会(CVPR),欧洲计算机视觉大会(ECCV)和国际数据挖掘大会(ICDM)。申请国家发明专利10项,授权3项。2008年被微软授予“微软学者”称号。2010年获得了中国科学院朱李月华优秀博士奖。2011年获得中国计算机学会优秀博士论文奖。2012年入选温州市551人才第二层次和微软“铸星计划”。 欢迎有统计、矩阵计算、优化背景,并且具备良好英语读写能力的学生报考研究生xqzhang@wzu.edu.cn

  担任课程:优化理论基础,数学软件,C语言,高等数学

  社会兼职:
  1.国际学术期刊神经计算(Neurocomputing,SCI收录),编委(Associate Editor)
  2.国际计算机视觉会议(ICCV),程序委员(Program Committee)
  3.国际计算智能会议(ICACI),程序委员(Program Committee)
  4.亚洲计算机视觉会议(ACCV),程序委员(Program Committee)

  研究方向:统计学习(数据降维、结构分析),数据挖掘(压缩感知、稀疏表示)

  获奖情况:
  1.温州市“551人才工程”第二层次,2012
  2.微软铸星计划(StarTrack),2012
  3.中国计算机学会CCF优秀博士论文奖,2011
  4.中国科学院 朱李月华优秀博士奖,2010
  5.北京市科技奖二等奖,2009(排名第三)
  6.微软学者,2008

  课题项目:
  1.国家自然科学基金青年项目,面向低帧率视频的目标跟踪研究(主持)
  2.浙江省自然科学基金,基于移动摄像机的复杂场景下目标跟踪的研究(参与)
  3.国家自然科学基金青年项目,图像与视频的纹理风格迁移关键技术研究(参与)
  4.浙江省统计局学术项目,非线性数据的分形维研究(主持)
  5.国家重点实验室开放课题,基于多信息源融合的智能人机交互(主持)
  6.国家重点实验室开放课题,基于流形学习的图像特征选择问题研究(主持)
  7.省重中之重学科开放课题,基于移动摄像机的复杂场景下目标跟踪的研究(主持)
  8.省重点实验室开放课题,基于在线张量子空间学习的视觉跟踪研究(主持)

  论文清单
  部分论文
  2012
  1.Xiaoqin Zhang, Weiming Hu, Hujun Bao, Steve Maybank, “Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework”, IEEE Transactions on Circuits and Systems for Video Technology, Accepted. (SCI)
  2.Xiaoqin Zhang, Wei Li, Weiming Hu, Haibin Ling, Steve Maybank, “Block Covariance Based l1 Tracker with a Subtle Template Dictionary”, Pattern Recognition, Accepted. (SCI)
  3.Weiming Hu, Xue Zhou, Wei Li, Wenhan Luo, Xiaoqin Zhang, Steve Maybank, "Active Contour-Based Visual Tracking by Integrating Colors, Shapes and Motions”, IEEE Transactions on Image Processing, Accepted. (SCI)
  4.Mingyu Fan, Xiaoqin Zhang, Shengyong Chen, Hujun Bao, Steve Maybank, “Dimension estimation of image manifolds by minimal cover approximation”, Neurocomputing, Accepted. (SCI)
  5.Weiming Hu, Xi Li, Wenhan Luo, Xiaoqin Zhang, Steve Maybank, Zhong fei Zhang,“Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-DivisionAppearance Model”,IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 12, pp. 2420-2440, 2012. (SCI)
  6.Mingyu Fan, Hong Qiao, Bo Zhang, Xiaoqin Zhang, “Isometric multi-manifold learning for feature extraction”, IEEE International Conference on Data Mining, 2012. (EI)
  7.Mingyu Fan, Xiaoqin Zhang*, Zhouchen Lin, Zhongfei Zhang, Hujun Bao, “Geodesic based semi-supervised multi-manifold feature extraction”, IEEE International Conference on Data Mining, 2012. (EI)
  8.Liang Chen, Ling Yan, Yonghuai Liu, Lixin Gao, Xiaoqin Zhang, “Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches”, European Conference on Computer Vision, 2012. (EI)
  2011
  9.Weiming Hu, Xi Li, Xiaoqin Zhang, Xingchu Shi, and Steve Maybank, “Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking”, International Journal of Computer Vision, vol. 91, no. 3, pp. 303-327, 2011. (SCI)
  10.Xiaoqin Zhang, Xingchu Shi, and Weiming Hu, “Visual Tracking via Dynamic Tensor Analysis with Mean Update”, Neurocomputing, vol. 74, pp. 3277-3285, 2011. (SCI)
  11.Yu Kong, Xiaoqin Zhang, Weiming Hu, and Yunde Jia, “Learning Adaptive Codebook for Action Recognition”, Pattern Recognition Letters, vol. 32, no. 8, pp. 1178–1186, 2011. (SCI)
  12.Xiaoqin Zhang, Wenhan Luo, Li Zhao, Wei Li, Weiming Hu, “Semantic Shape Similarity Based Contour Tracking Evaluation”, Optical Engineering, vol. 50, no. 10, pp. 107003-1-107003-7, 2011. (SCI)
  2010
  13.Xiaoqin Zhang, Weiming Hu, Wei Qu, and Steve Maybank, “Multiple Object Tracking via Species-Based Particle Swarm Optimization”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 11, pp. 1590-1602, 2010. (SCI)
  14.Nianhua Xie, Haibing Lin, Weiming Hu, Xiaoqin Zhang, “Use Bin-Ratio Information for Category and Scene Classification”, IEEE International Conference on Computer Vision and Pattern Recognition, 2010. (EI)
  2009
  15.Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, and Weiming Hu, Steve Maybank, “Efficient Human Pose Estimation via Parsing a Tree Structure Based Human Model”, IEEE International Conference on Computer Vision, 2009. (EI)
  2008
  16.Xiaoqin Zhang, Weiming Hu, Steve Maybank, Xi Li, and Mingliang Zhu, “Sequential Particle Swarm Optimization for Visual Tracking”, IEEE International Conference on Computer Vision and Pattern Recognition, 2008. (EI)
  17.Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, “Visual tracking via incremental Log-Euclidean Riemannian subspace learning”, IEEE International Conference on Computer Vision and Pattern Recognition, 2008. (EI)
  18.Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, “Robust visual tracking Based on An Effective Appearance Model”, European Conference on Computer Vision, 2008. (EI)
  19.Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, “Robust Foreground Segmentation Based on Two Effective Background Models”, ACM International Conference on Multimedia Information Retrieval, 2008. (EI)
  20.Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, “Trajectory-based Video Retrieval Using Dirichlet Process Mixture Models”, British Machine Vision Conference, 2008. (EI)
  21.Mingliang Zhu, Weiming Hu, Ou Wu, Xi Li, Xiaoqin Zhang, “User Oriented Link Function Classification”, International Conference on World Wide Web, 2008. (EI)
  2007
  22.Xiaoqing Zhang, Weiming Hu, Steve Maybank, “Graph based discriminative learning for robust and efficient object tracking”, IEEE International Conference on Computer Vision, 2007. (EI)
  23.Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, and Guan Luo, “Robust Visual Tracking Based on Incremental Tensor Subspace Learning”, IEEE International Conference on Computer Vision, 2007. (EI)
  24.Xiaoqin Zhang, Zhiyong Liu, Hong Qiao, “A Robust Multiple Cues Fusion based Bayesian Tracker”, IEEE International Conference on Robotics and Automation, pp. 4614-4619, 2007. (EI)

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