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  • 个人简历
  • 教学
  • 研究领域
  • 研究成果
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  • Biography

    Aug 2019 - present     Professor, Tsinghua Shenzhen International Graduate School 

    Dec 2018 - Aug 2019    Professor, Graduate School at Shenzhen, Tsinghua University 

    Feb 2014 - Feb 2015     Visiting Scholar, University of California, Berkeley, US 

    Dec 2011 - Dec 2018    Associate Professor, Graduate School at Shenzhen, Tsinghua University

    Jan 2008 - Nov 2011     Lecturer, Graduate School at Shenzhen, Tsinghua University 

    Oct 2005 - Jan 2008     Postdoctoral fellow, Tsinghua University 


    Education

    2019至今, Professor, Shenzhen International Graduate School, TsinghuaUniversity

    20182019, Professor, Graduate School at Shenzhen, TsinghuaUniversity

    20142015, Visiting Scholar major in EE&CS of University of California, Berkeley, US

    20112018, Associate Professor, Graduate School at Shenzhen, Tsinghua University

    2008-2011, Assistant Professor, Graduate School at Shenzhen, TsinghuaUniversity

    20052007, Postdoctor, Department of Automation,TsinghuaUniversity


    Professional Experience

    Additional Positions

    Opening

    Personal Webpage

    Computational photography, Artificial Intelligence

    Download CV

  • Current Courses

    Master’s & Ph.D. Advising

  • Research Interests

    Research Interests: Computational photography, Artificial Intelligence

    Projects

    Research Output

  • Selected Publications

    1.    Li K(&), Wang J, Wang HQ*, Dai QH. Structuring Lecture Videos by Automatic Projection Screen Localization and Analysis, IEEE Transactions on Pattern Analysis & Machine Intelligence (TPAMI), 37(6):1233-1246, 2015. (Corresponding author)

    2.    Zhang Y, Lv H, Liu Y, Wang HQ*, Wang X, Huang Q, Xiang X, Dai QH. Light Field Depth Estimation via Epipolar Plane Image Analysis and Locally Linear Embedding, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 27(4):739-747, 2017. (Corresponding author)

    3.    W. An, Wang HQ, Q.Sun, J.Xu, Dai, Qionghai, L. Zhang. A PID Controller Approach for Stochastic Optimization of Deep Networks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR spotlight paper), p 8522-8531, 2018. 

    4.    Song L (&), Lin JZ, Wang Jane, Peng YB, Zhang YB, Wang HQ*. An End-to-end Multi-task Deep Learning Framework for Skin Lesion Analysis, IEEE Journal of B iomedical and Health Infortmatics (JBHI), 2020.(Corresponding author)

    5.    Wang Haoqian*, Luo Y, An W, Sun Q, Xu J, and Zhang L. PID controller based stochastic optimization acceleration for deep neural networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (Corresponding author)

    6.    Y. Zhang, Y. Feng, X. Liu, D. Zhai, X. Ji, Wang Haoqian*, and Q. Dai, Color-Guided Depth Image Recovery with Adaptive Data Fidelity and Transferred Graph Laplacian Regularization, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020. (Corresponding author)

    7.    J. Xu, Y. Hou, D. Ren, L. Liu, F. Zhu, M. Yu , Wang HQ*, and L. Shao. STAR: A Structure and Texture Aware Retinex Model, IEEE Transactions on Image Processing (TIP), Vol. 29, pp. 5022-5037, 2020. (Corresponding author)



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  • Awards and Honors