吴 昊

基本信息

吴 昊

  •   职称:副教授
  •   单位:手机赌博
  •   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号手机赌博电子楼503
 

教育背景及科研基础

  2006年9月起就读于北京交通大学思源班(理科实验班,核心课程按照北京大学的理学培养模式进行),培养了较为扎实的理论基础。2010年9月被推免直接攻读博士学位,重点参与了3项科技部973课题、国家自然基金等国家级课题。2013年10月至2015年11月在美国劳伦斯伯克利国家实验室进行深造学习、合作研究,并作为项目负责人承担了2项美国劳伦斯伯克利国家实验室开放项目。依托上述科研项目及相关成果,博士就读期间以第一作者身份发表了11篇SCI检索论文,其中3篇论文曾入选高被引论文或实现了重要的成果转化。获得国家奖学金、北京市优秀毕业生、智瑾奖学金、一等学习奖学金等荣誉三十多次,并作为优秀毕业生代表在毕业典礼上发言。

  入职手机赌博以来,依托国家自然基金、美国劳伦斯伯克利国家实验室开放项目等科研项目,对计算机视觉、模式识别等领域进行了持续、深入研究,每年稳定地发表多篇高水平期刊、会议论文,并成功指导了多位同学发表高水平期刊、会议论文。担任Software: Practice and Experience等国际期刊或会议的特邀编委,并作为审稿人常年为IEEE Transactions on Image Processing, Pattern Recognition, Neurocomputing, Journal of Visual Communication and Image Representation, IEEE Access, Multimedia Tools and Applications, Machine Vision and Applications, The Visual Computer, IET Image Processing 等知名期刊审稿。同时,作为美国劳伦斯伯克利国家实验室的客座项目负责人,和美国劳伦斯伯克利国家实验室保持稳定、高效地合作,平均每年承担1-2项该实验室的开放项目。已经将图像修复、图像去噪、三维重建等技术较好地应用于生命科学领域,并在劳伦斯伯克利国家实验室、南京大学进行了多次报告,多位顶级的科学家高度评价了相关科研成果。除此之外,将计算机视觉、模式识别的研究成果成功应用到了教育、文化、心理等其它领域。

讲授课程

信息论基础、数字音视频技术、深度学习、计算智能、文献阅读与科研规范

招生说明

主要招收计算机相关专业的同学,也重点考虑具备良好工程实践能力的理工科背景(电子、通讯等)的同学。工程实践能力较强、有前期科研积累、英文读写水平较好的同学优先考虑。注:推免或报考的时候必须是计算机相关专业(计算机科学与技术一级学科)才能招收。

承担项目(项目负责人身份)

  • 国家自然科学基金面上项目:基于海量多源素材优选的多选择图像修复研究,2021-01-01--2024-12-31(项目负责人)
  • 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)
  • 手机赌博青年教师基金项目: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)
  • 手机赌博发展基金项目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—2019-06-17(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—2019-11-30(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 Electron Tomographic 3D Reconstruction” 2019-03-31—2020-03-30(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)