Dr. Hao Wu is currently a lecturer in School of Artificial Intelligence, Beijing Normal University. He received the B.E. and Ph.D.degree from Beijing Jiaotong University, Beijing, China, in 2010 and 2015, respectively. From October 2013 to April 2015, he worked as a research associate in Lawrence Berkeley National Laboratory. Until now, he still takes charge of some related research projects in Lawrence Berkeley National Laboratory. He joined Center for Big Data Mining & Knowledge Engineering in December in 2015. He has published about 20 papers including many international journals or magazines, such as neuro computing, the visual computer, multimedia tools and applications, journal of visual communication and image representation, IET computer vision and so on.

Professional Experience

December, 2015 – 2016.12  Postdoctoral research fellow, College of Information Science and Technology, Beijing Normal University.
October,2013–April,2015 research associate, Molecular Foundry, Lawrence Berkeley National Laboratory
Education

September, 2006 – July, 2010 Bachelor’s degree in Communication Engineering (Science Experimental Class) from Beijing Jiaotong University
October, 2013 to April, 2015 Joint PhD student, Molecular Foundry, Lawrence Berkeley National Laboratory
September, 2010 – December, 2015 PhD degree in Signal and Information Processing from Beijing Jiaotong University

Research Interests

Pattern Recognition(image retrieval, image classification), Computer Vision(image processing, image composition, image completion)

Contact

Email: wuhao@bnu.edu.cn
Address: Room 503, College of Information Science and Technology, Beijing Normal University, Beijing 100875, P.R.China

Papers

[1] Hao Wu, Zhenjiang Miao, Yi Wang, JingYue Chen, Cong Ma and Tianyu Zhou. Image completion with multi-image based on entropy reduction[J]. Neurocomputing, 2015, 159: 157-171. (SCI index)

[2] Hao Wu, Zhenjiang Miao, Yi Wang and Manna Lin. Optimized recognition with few instances based on semantic distance[J]. The Visual Computer, 2014, 31(4): 367-375. (SCI index,ESI highly cited paper)

[3] Hao Wu, Zhenjiang Miao, JingYue Chen, Qiang Zhang and Wanru Xu. Image completion based on creative design of massive images[J]. Optik-International Journal for Light and Electron Optics, 2014, 125(16): 4374-4378. (SCI index)

[4] Hao Wu, Zhenjiang Miao, Qiang Zhang and Wanru Xu. Image composition optimization based on feature match and detail preserved[J]. Optik-International Journal for Light and Electron Optics, 2014, 125(16): 4370-4373. (SCI index)

[5] Hao Wu, Zhenjiang Miao. Multi-option image completion based on semantic matching image[J]. Optik-International Journal for Light and Electron Optics, 2014, 125(17): 4985-4989. (SCI index)

[6] Hao Wu, Zhenjiang Miao, JingYue Chen,Jie Yang and Xing Gao. Recognition improvement through the optimisation of learning instances[J]. IET Computer Vision, 2015, 9(3): 419-427. (SCI index)

[7] Hao Wu, Yueli Li, Zhenjiang Miao, Rongfang Bie and Yi Wang. (2016). A new sampling algorithm for high-quality image matting. Journal of Visual Communication and Image Representation, 38, 573-581. (SCI index)

[8] Hao Wu, Zhenjiang Miao, Yi Wang and JingYue Chen. Recognition improvement through optimized spatial support methodology. Multimedia tools and applications. (SCI index)

[9] Hao Wu, Zhenjiang Miao, Jingyue Chen,Qiang Zhang ,Wanru Xu and Tianyu Zhou. Optimized image segmentation based on OLS operator[J]. Optik-International Journal for Light and Electron Optics, 2015, 126(3): 305-308. (SCI index)

[10] HaoWu, Yueli Li, Zhenjiang Miao, Rongfang Bie and Yi Wang .Creative and High-Quality Image Composition Based on a New Criterion. (2016). Creative and high-quality image composition based on a new criterion. Journal of Visual Communication and Image Representation, 38, 100-114. (SCI index)

[11] Hao Wu, Zhenjiang Miao, Qiang Zhang, Wanru Xu and Tianyu Zhou. Image recognition with no or few instances by sharing attributes[J]. Optik-International Journal for Light and Electron Optics, 2015, 126(7): 744-748. (SCI index)

Awards

Excellent University Graduates of Beijing,2016
Special Fellowship in Laurence Berkeley National Laboratory,2015
National Scholarship of China,2014
“Zhi-Jin” Scholarship, 2014

Projects

Topic：Completion Material Optimized Retrieval Based Image Completion

Source: National Science Foundation of China (NSFC)
Duration: 01-01-2017 to 12-31-2019
Principal Investigator: Hao Wu
Topic：Small Instance Model For Massive Image Retrieval

Source: China Postdoctoral Science Foundation
Duration: 01-01-2016 to 12-31-2017
Principal Investigator: Hao Wu
Topic：Sparse Coding Based Massive Images Retrieval

Source: Fundamental Research Funds for the Central Universities
Duration: 11-01-2016 to 12-31-2018
Principal Investigator: Hao Wu
Topic：Computer Algorithm Development for Enhancement of Low-Dose TEM Image Contrast by Fields of Experts Method

Source: Lawrence Berkeley National Laboratory
Duration: 2015-09-01—2016-08-30
Principal Investigator: Hao Wu
Topic：Deep learning algorithm for high-quality 3D reconstruction

Source: Lawrence Berkeley National Laboratory
Duration: 2016-09-01—2017-08-30
Principal Investigator: Hao Wu