溫州大學數(shù)學與信息科學學院導師:張笑欽

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溫州大學數(shù)學與信息科學學院導師:張笑欽

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溫州大學數(shù)學與信息科學學院導師:張笑欽 正文


  個人簡介:
  張笑欽:1982年11月出生,博士,副教授,碩士生導師,2005年-2010年接受中科院自動化所模式識別國家重點實驗室與英國倫敦大學聯(lián)合指導,獲博士學位。已在國際著名學術(shù)期刊和頂級學術(shù)會議上發(fā)表學術(shù)論文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,以及國際計算機視覺大會(ICCV),國際計算機視覺和模式識別大會(CVPR),歐洲計算機視覺大會(ECCV)和國際數(shù)據(jù)挖掘大會(ICDM)。申請國家發(fā)明專利10項,授權(quán)3項。2008年被微軟授予“微軟學者”稱號。2010年獲得了中國科學院朱李月華優(yōu)秀博士獎。2011年獲得中國計算機學會優(yōu)秀博士論文獎。2012年入選溫州市551人才第二層次和微軟“鑄星計劃”。 歡迎有統(tǒng)計、矩陣計算、優(yōu)化背景,并且具備良好英語讀寫能力的學生報考研究生xqzhang@wzu.edu.cn

  擔任課程:優(yōu)化理論基礎,數(shù)學軟件,C語言,高等數(shù)學

  社會兼職:
  1.國際學術(shù)期刊神經(jīng)計算(Neurocomputing,SCI收錄),編委(Associate Editor)
  2.國際計算機視覺會議(ICCV),程序委員(Program Committee)
  3.國際計算智能會議(ICACI),程序委員(Program Committee)
  4.亞洲計算機視覺會議(ACCV),程序委員(Program Committee)

  研究方向:統(tǒng)計學習(數(shù)據(jù)降維、結(jié)構(gòu)分析),數(shù)據(jù)挖掘(壓縮感知、稀疏表示)

  獲獎情況:
  1.溫州市“551人才工程”第二層次,2012
  2.微軟鑄星計劃(StarTrack),2012
  3.中國計算機學會CCF優(yōu)秀博士論文獎,2011
  4.中國科學院 朱李月華優(yōu)秀博士獎,2010
  5.北京市科技獎二等獎,2009(排名第三)
  6.微軟學者,2008

  課題項目:
  1.國家自然科學基金青年項目,面向低幀率視頻的目標跟蹤研究(主持)
  2.浙江省自然科學基金,基于移動攝像機的復雜場景下目標跟蹤的研究(參與)
  3.國家自然科學基金青年項目,圖像與視頻的紋理風格遷移關(guān)鍵技術(shù)研究(參與)
  4.浙江省統(tǒng)計局學術(shù)項目,非線性數(shù)據(jù)的分形維研究(主持)
  5.國家重點實驗室開放課題,基于多信息源融合的智能人機交互(主持)
  6.國家重點實驗室開放課題,基于流形學習的圖像特征選擇問題研究(主持)
  7.省重中之重學科開放課題,基于移動攝像機的復雜場景下目標跟蹤的研究(主持)
  8.省重點實驗室開放課題,基于在線張量子空間學習的視覺跟蹤研究(主持)

  論文清單
  部分論文
  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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