Patents by Inventor Yuning Guo

Yuning Guo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11929871
    Abstract: The present disclosure provides a method for generating a backbone network, an apparatus for generating a backbone network, a device, and a storage medium. The method includes: acquiring a set of a training image, a set of an inference image, and a set of an initial backbone network; training and inferring, for each initial backbone network in the set of the initial backbone network, the initial backbone network by using the set of the training image and the set of the inference image, to obtain an inference time and an inference accuracy of a trained backbone network in an inference process; determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process; and obtaining a target backbone network based on the basic backbone network and a preset target network.
    Type: Grant
    Filed: April 11, 2022
    Date of Patent: March 12, 2024
    Inventors: Cheng Cui, Tingquan Gao, Shengyu Wei, Yuning Du, Ruoyu Guo, Bin Lu, Ying Zhou, Xueying Lyu, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
  • Publication number: 20240070454
    Abstract: Provided is a lightweight model training method, an image processing method, a device and a medium. The lightweight model training method includes: acquiring first and second augmentation probabilities and a target weight adopted in an e-th iteration; performing data augmentation on a data set based on the first and second augmentation probabilities respectively, to obtain first and second data sets; obtaining a first output value of a student model and a second output value of a teacher model based on the first data set; obtaining a third output value and a fourth output value based on the second data set; determining a distillation loss function, a truth-value loss function and a target loss function; training the student model based on the target loss function; and determining a first augmentation probability or target weight to be adopted in an (e+1)-th iteration in a case of e is less than E.
    Type: Application
    Filed: February 13, 2023
    Publication date: February 29, 2024
    Inventors: Ruoyu GUO, Yuning DU, Chenxia LI, Baohua LAI, Yanjun MA
  • Publication number: 20240029698
    Abstract: An acoustic device includes a three-dimensional phononic crystal having cubic symmetry. The phononic crystal includes a first region filled with a first material and a second region filled with a solid material that is different from the first material. The second region is the solid complement of the first region. A boundary between the first and second regions is shaped as a single gyroid surface that has constant mean curvature and is not pinched off. The volume of the second region is greater than or equal to that of the first region. The first material may be a gas, such as air, or a fluid. The phononic crystal supports topological surface states, has a band structure with at least one degenerate point protected by nonsymmorphic symmetry, and exhibits negative refraction where two of its external surfaces meet.
    Type: Application
    Filed: July 24, 2023
    Publication date: January 25, 2024
    Inventors: Yuning Guo, Massimo Ruzzene, Matheus Rosa
  • Patent number: 6377227
    Abstract: A printed antenna comprising a dielectric substrate, dipole elements formed on a surface of the substrate, a matching network for coupling a driving point to the antenna elements, whereby common mode currents are minimized thereby minimizing the antenna performance degradation.
    Type: Grant
    Filed: April 28, 2000
    Date of Patent: April 23, 2002
    Assignee: SuperPass Company Inc.
    Inventors: Luke Zhu, Yuning Guo, Xifan Chen