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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
2018–2019, Professor, Graduate School at Shenzhen, TsinghuaUniversity
2014–2015, Visiting Scholar major in EE&CS of University of California, Berkeley, US
2011–2018, Associate Professor, Graduate School at Shenzhen, Tsinghua University
2008-2011, Assistant Professor, Graduate School at Shenzhen, TsinghuaUniversity
2005–2007, Postdoctor, Department of Automation,TsinghuaUniversity
Professional Experience
Additional Positions
Opening
Personal Webpage
Computational photography, Artificial Intelligence
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Current Courses
Master’s & Ph.D. Advising
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Research Interests
Research Interests: Computational photography, Artificial Intelligence
Projects
Research Output
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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)
Books
Patents
Others
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Awards and Honors