吴 昊

基本信息

吴 昊

  •   职称:副教授
  •   单位:北京师范大学人工智能学院
  •   电子邮件:wuhao@bnu.edu.cn
  •   通讯地址:北京市海淀区新街口外大街19号北京师范大学电子楼503
 

教育背景

  • 2006.9-2010.6 北京交通大学学士(思源班)
  • 2010.9-2015.12 北京交通大学博士(直博)
  • 2013.10-2015.12 美国劳伦斯伯克利国家实验室博士期间联合培养

工作经历

  • 2013.10-2015.12 美国劳伦斯伯克利国家实验室科研助理、项目研究员
  • 2015.12-至今 北京师范大学科研岗教师
  • 2015.12-至今 美国劳伦斯伯克利国家实验室客座项目负责人

授课内容

信息论、数字音视频技术、深度学习、计算智能、文献阅读与科研规范

研究(招生)方向

计算机视觉,模式识别(图像检索、图像分类、图像修复、图像融合、图像分割、目标检测、视频理解等现代数字媒体技术)

承担项目(项目负责人身份)

  • 国家自然科学基金青年项目:基于修复素材优选的图像修复研究,2017-01-01--2019-12-31(项目负责人)
  • 博士后基金面上项目:面向小样本模型的海量图像检索研究,2016-05-04-2017-12-31(项目负责人)
  • 北京师范大学青年教师基金项目:基于稀疏编码的海量图像检索研究,2016-11-01-2018-10-31(项目负责人)
  • 北京师范大学发展基金项目Ⅰ:现代技术和传统理论的结合式授课方法研究,2018年春季学期(项目负责人)
  • 美国劳伦斯伯克利国家实验室开放项目:“Developing the deep learning algorithm for high-resolution eletron tomographic 3D reconstruction”2017-06-08—2018-06-07(项目负责人)
  • 美国劳伦斯伯克利国家实验室开放项目:“Improving cryo-ET 3D reconstruction resolution based on the algorithm of the going deeper with convolutions (GoogLeNet )”2018-06-18至今(项目负责人)
  • 美国劳伦斯伯克利国家实验室开放项目:“Improving cryo-ET 3D reconstruction resolution based on the algorithm of generative adversative nets”2018-12-01至今(项目负责人)

发表SCI检索论文(第一作者或通讯作者)

  • Hao Wu, Rongfang Bie, Junqi Guo,Xin Meng and Shenling Wang Sparse coding based few learning instances for image retrieval[J]. Multimedia Tools and Applications, 2019: 1-15. (Online, SCI index)
  • Hao Wu, Yueli Li, Jie Xiong, Xiaohan Bi, Linna Zhang, Rongfang Bie and Junqi Guo. Weighted-learning-instance-based retrieval model using instance distance[J]. Machine Vision and Applications, 2019,30:163-176(SCI index)
  • Linbin Jiao, Hao Wu(*), Haodi Wang and Rongfang Bie(*).Multi-scale semantic image inpainting with residual learning and GAN[J]. Neurocomputing, 2019, 331: 199-212.(SCI index)
  • Hao Wu, Yueli Li, Xiaohan Bi, Linna Zhang, Rongfang Bie and Yingzhuo Wang. Joint entropy based learning model for image retrieval[J]. Journal of Visual Communication and Image Representation, 2018, 55: 415-423.(SCI index)
  • Hao Wu, Rongfang Bie, Junqi Guo, Xin Meng and Shenling Wang. Optimized CNN Based Image Recognition Through Target Region Selection[J]. Optik-International Journal for Light and Electron Optics, 2018, 156: 772-777. (SCI index)
  • Hao Wu, Rongfang Bie, Junqi Guo, Xin Meng and Shenling Wang. Semantic Constraint Based Target Object Recognition[J]. Optik-International Journal for Light and Electron Optics, 2018, 156: 791-796. (SCI index)
  • Hao Wu, Xiaobo Zhai, Dongsheng Lei, Jianfang Liu, Yadong Yu, Rongfang Bie and Gary Ren. An Algorithm for Enhancing the Image Contrast of Electron Tomography[J]. Scientific reports, 2018, 8(1): 16711. (SCI index)
  • Chao Zhang, Hao Wu(*),Rongfang Bie, RASHID MEHMOOD and ANTON KOS. Dynamic Modeling of Failure Events in Preventative Pipe Maintenance[J]. IEEE Access, 2018, 6: 12539-12550. (SCI index)
  • Chao Zhang, Junchi Yan, Changsheng Li ,Hao Wu(*) and Rongfang Bie. End-to-end learning for image-based air quality level estimation[J]. Machine Vision and Applications, 2018, 29(4): 601-615. (SCI index)
  • Hao Wu, Rongfang Bie, Junqi Guo, Xin Meng, Zhangchen Yun. CNN refinement based object recognition through optimized segmentation[J]. Optik-International Journal for Light and Electron Optics, 2017, 150: 76-82. (SCI index)
  • Yueli Li,Rongfang Bie,Chenyun Zhang,Zhenjiang Miao,Yuqi Wang,Jiajing Wang and Hao Wu(*), Optimized learning instance-based image retrieval[J]. Multimedia Tools and Applications, 2017, 76(15): 16749-16766. (SCI index)
  • Hao Wu(#), Yueli Li, Zhenjiang Miao, Rongfang Bie and Yi Wang. A new sampling algorithm for high-quality image matting[J]. Journal of Visual Communication and Image Representation, 2016, 38: 573-581. (SCI index)
  • Hao Wu(#), Yueli Li, Zhenjiang Miao, Rongfang Bie and Yi Wang. Creative and high-quality image composition based on a new criterion[J]. Journal of Visual Communication and Image Representation, 2016, 38: 100-114. (SCI index)
  • Hao Wu, Zhenjiang Miao, Yi Wang and JingYue Chen. Recognition improvement through optimized spatial support methodology[J]. Multimedia Tools and Applications, 2016, 75(10): 5603-5618. (SCI index)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)