PDF《张笑钦教师简介》

张笑钦教师简介

一、 个人基本情况: 姓名: 张笑钦 性别: 男 出生年月: 1982.

11 民族: 汉 职称职务: 教授/副院长 政治面貌: 中共党员 最后学历: 博士研究生 最高学位: 博士 工作单位: 温州大学/数理与电子信息工程学院 通信地址: 茶山高教园区温州大学南校区 1A509# 邮政编码:

325035

电话: 0577-86689213 E―Mail : [email protected]

二、 从事研究的专业领域及主要研究方向 研究的专业领域:人工智能、计算机科学与技术 主要研究方向:模式识别、机器学习、数据挖掘、计算机视觉

三、 主要工作经历 1. 2001.09―2005.06,中南大学,电子信息科学与技术,学士 2. 2005.09―2010.07,中国科学院自动化研究所,模式识别与智能系统,博士 3. 2008.03―2008.07,英特尔中国研究院,实习生 4. 2010.07―至今,温州大学,教师 5. 2013.02―2013.08,微软亚洲研究院(铸星计划),访问研究员 6. 2015.03―2015.06,美国约翰霍普金斯大学,访问学者 7. 2016.01―2016.12,德国慕尼黑工业大学(洪堡学者),访问学者

四、 近年来主持的主要教学科研项目 1. 国家自然科学基金面上项目,基于多特征联合稀疏表示和低秩张量恢复的视觉跟踪研 究,主持 2. 国家自然科学基金国际合作项目,医学图像的非刚性配准与去噪研究,主持 3. 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 4. 浙江省杰出青年科学基金项目,基于 Lp 范数-多任务稀疏表示的目标跟踪研究,主持 5. 德国洪堡基金项目,基于 Lp 范数正则化的压缩感知研究及应用,主持 6. 浙江省公益技术应用研究计划项目,面向智能交通的基于联合稀疏表示的目标跟踪关键 技术研究,主持 7. 浙江省高等教育教学改革项目,创业教育与信算专业教育深度融合的人才培养模式研 究,主持 8. 温州市重大科技专项,视频监控中人体行为模式分析的关键技术研发及应用,主持 9. 温州市重点创新团队,视觉信息智能计算与应用创新团队,主持

五、 近年完成的主要教学科研成果目录 (含论文、课题、科研获奖、教学成果) ? 部分期刊论文 1. Shaobo Lin, Jinshan Zeng, and Xiaoqin Zhang, Constructive neural network learning , IEEE Trans. on Cybernetics (IEEE TC), 2018. 2. Mingyu Fan, Xiaoqin Zhang*, Liang Chen, Liang Du, and Dacheng Tao, Semi-Supervised Learning Through Label Propagation on Geodesics , IEEE Trans. on Cybernetics (IEEE TC), 2017. 3. Huazhu Fu, Yanwu Xu, Stephen Lin, Xiaoqin Zhang, Damon Wing Kee Wong, Jiang Liu, Alejandro Frangi, Mani Baskaran, and Tin Aung, Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT , IEEE Trans. on Medical Image (IEEE TMI) , 2017. 4. Di Wang, Xiaoqin Zhang*, Mingyu Fan, Xiuzi Ye, Hierarchical Mixing Linear Support Vector Machines for Nonlinear Classification , Pattern Recognition (PR), 59: 255C267, 2016. 5. Mingyu Fan, Xiaoqin Zhang, Hong Qiao, Bo Zhang, Efficient Isometric Multi-Manifold Learning Based on the Self-Organizing Method , Information Sciences (IS), 345(2): 325-339, 2016. 6. Xiaoqin Zhang, Weiming Hu, Nianhua Xie, Hujun Bao, and Steve Maybank, A Robust Tracking System for Low Frame Rate Video , International Journal of Computer Vision (IJCV), 115(3): 279-304, 2015. 7. Weiming Hu, Wei Li, Xiaoqin Zhang, Steve Maybank, Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation , IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 37(4): 816-833, 2015. 8. Xiaoqin Zhang, Wei Li, Xiuzi Ye, Steve Maybank, Robust Hand Tracking via Novel Multi-cue Integration , Neurocomputing, 157: 296-305, 2015. 9. Di Wang, Xiaoqin Zhang*, Mingyu Fan, Xiuzi Ye, An Efficient Semi-Supervised Classifier Based on Block-Polynomial Mapping , IEEE Signal Processing Letters, 22(10): 1776-1780,2015. 10. Xiaoqin Zhang, Weiming Hu, Shengyong Chen, Steve Maybank, Graph-Embedding-Based Learning for Robust Object Tracking , IEEE Trans. on Industrial Electronics (IEEE T-IE), 61(2): 1072-1084, 2014. 11. Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weiming Hu, Steve Maybank, Y. Zhang, Human Pose Estimation and Tracking via Parsing a Tree Structure Based Human Model , IEEE Trans. on Systems,Man and Cybernetics: Systems (IEEE T-SMCS), 44(5): 580-592, 2014. 12. Mingyu Fan, Xiaoqin Zhang*, Zhouchen Lin, Zhongfei Zhang, Hujun Bao, A Regularized Approach for Geodesic Based Semi-Supervised Multi-Manifold Learning , IEEE Trans. on Image Processing (IEEE T-IP), 23(5): 2133-2147, 2014. 13. Xiaoqin Zhang, Weiming Hu, Hujun Bao, Steve Maybank, Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework , IEEE Trans. on Circuits and Systems for Video Technology(IEEE T-CSVT), 23(7): 1197-1208, 2013. 14. Xiaoqin Zhang, Wei Li, Weiming Hu, Haibin Ling, Steve Maybank, Block Covariance Based L1 Tracker with a Subtle Template Dictionary , Pattern Recognition (PR), 46(7): 1750-1761, 2013. 15. Weiming Hu, Xue Zhou, Wei Li, WenhanLuo, Xiaoqin Zhang, Steve Maybank, Active Contour-Based Visual Tracking by Integrating Colors, Shapes and Motions , IEEE Trans. on Image Processing(IEEE T-IP, 22(5): 1778-1792, 2013. 16. Mingyu Fan, Xiaoqin Zhang*, Shengyong Chen, HujunBao, Steve Maybank, Dimension estimation of image manifolds by minimal cover approximation , Neurocomputing, 105(1): 19-29, 2013. 17. 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 Trans. on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 34(12): 2420-2440, 2012. 18. 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 (IJCV), 91(3): 303-327, 2011. 19. Xiaoqin Zhang, Xingchu Shi, and Weiming Hu, Visual Tracking via Dynamic Tensor Analysis with Mean Update , Neurocomputing, 74(17): 3277-3285, 2011. 20. Yu Kong, Xiaoqin Zhang, Weiming Hu, and YundeJia, Learning Adaptive Codebook for Action Recognition , Pattern Recognition Letters, 32(8): 1178C1186, 2011. 21. Xiaoqin Zhang, Weiming Hu, Wei Qu, and Steve Maybank, Multiple Object Tracking via Species-Based Particle Swarm Optimization , IEEE Trans. on Circuits and Systems for Video Technology (IEEE T-CSVT), 20(11): 1590-1602, 2010. ? 部分会议论文 22. Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang*, Di Wang, Liang Du, Top-k Supervise Feature Selection via ADMM for Integer Programming , International Joint Conference on Artificial Intelligence (IJCAI), 2017. 23. Yanwu Xu, Lixin Duan, Huazhu Fu, Xiaoqin Zhang, Damon Wing Kee Wong,Baskaran Mani, Tin Aung, and Jiang Liu, Axial Alignment for Anterior Segment Swept SourceOptical Coherence Tomography via Robust Low-rank Tensor Recovery , International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 9902, pp. 441-449, 2016. 24. Di Wang, Xiaoqin Zhang*, Mingyu Fan, Xiuzi Ye, Semi-Supervised Dictionary Learning via Structural Sparse Preserving , AAAI Conference on Artificial Intelligence (AAAI), pp. 2137-2144, 2016. 25. Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu and Jie Zhou, Local Subspace Collaborative Tracking , International Conference on Computer Vision (ICCV), pp. 4301-4309, 2015. 26. Xiaoqin Zhang, Wei Li, Mingyu Fan, Di Wang, Xiuzi Ye, Multi-Modality Tracker Aggregation: from Generative to Discriminative , International Joint Conference on Artificial Intelligence (IJCAI), 2015. 27. DiWang, Xiaoqin Zhang*, Mingyu Fan, Xiuzi Ye, An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines , International Joint Conference on Artificial Intelligence (IJCAI), 2015. 28. Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma, Hybrid Singular Value Thresholding for Tensor Completion , AAAI Conference on Artificial Intelligence (AAAI), 2014. 29. Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma, Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors , Advances in Neural Information Processing Systems (NIPS), 2013. 30. Mingyu Fan, Hong Qiao, Bo Zhang, Xiaoqin Zhang, Isometric multi-manifold learning for feature extraction , IEEE International Conference on Data Mining (ICDM), 2012. 31. Mingyu Fan, Xiaoqin Zhang*, Zhouchen Lin, Zhongfei Zhang,HujunBao, Geodesic based semi-supervised multi-manifold feature extraction , IEEE International Conference on Data Mining (ICDM), 2012. 32. Liang Chen, Ling Yan, Yonghuai Liu, LixinGao, Xiaoqin Zhang, Displacement Template with Divide-&