Patents by Inventor Yanxiang Wu

Yanxiang Wu 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: 11993582
    Abstract: This application relates to various crystalline forms of (S)-3-amino-4-(5-(4-((5-chloro-3-fluoropyridin-2-yl)oxy)phenyl)-2H-tetrazol-2-yl)butanoic acid in its free form, as well as compositions, method of making and methods of using the same. In some embodiments the crystalline forms also contain water (“hydrates”). These materials are useful in the treatment of diseases and disorders which are typically ameliorated by the inhibition of LTA4H. Such diseases and disorders may include inflammatory and autoimmune disorders and pulmonary and respiratory tract inflammation.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: May 28, 2024
    Assignee: Novartis AG
    Inventors: Andreas Kordikowski, Yanxiang Wu
  • Publication number: 20230367809
    Abstract: In one example embodiment, a computer-implemented method for extracting information from imagery includes obtaining data representing a sequence of images, at least one of the sequence of images depicting an object. The method includes inputting the sequence of images into a machine-learned information extraction model that is trained to extract location information from the sequence of images. The method includes obtaining as an output of the information extraction model in response to inputting the sequence of images, data representing a real-world location associated with the object depicted in the sequence of images.
    Type: Application
    Filed: May 16, 2023
    Publication date: November 16, 2023
    Inventors: Alexander Gorban, Yanxiang Wu
  • Patent number: 11693901
    Abstract: In one example embodiment, a computer-implemented method for extracting information from imagery includes obtaining data representing a sequence of images, at least one of the sequence of images depicting an object. The method includes inputting the sequence of images into a machine-learned information extraction model that is trained to extract location information from the sequence of images. The method includes obtaining as an output of the information extraction model in response to inputting the sequence of images, data representing a real-world location associated with the object depicted in the sequence of images.
    Type: Grant
    Filed: January 10, 2019
    Date of Patent: July 4, 2023
    Assignee: GOOGLE LLC
    Inventors: Alexander Gorban, Yanxiang Wu
  • Publication number: 20220262032
    Abstract: In one example embodiment, a computer-implemented method for extracting information from imagery includes obtaining data representing a sequence of images, at least one of the sequence of images depicting an object. The method includes inputting the sequence of images into a machine-learned information extraction model that is trained to extract location information from the sequence of images. The method includes obtaining as an output of the information extraction model in response to inputting the sequence of images, data representing a real-world location associated with the object depicted in the sequence of images.
    Type: Application
    Filed: January 10, 2019
    Publication date: August 18, 2022
    Inventors: Alexander Gorban, Yanxiang Wu
  • Publication number: 20210300897
    Abstract: This application relates to various crystalline forms of (S)-3-amino-4-(5-(4-((5-chloro-3-fluoropyridin-2-yl)oxy)phenyl)-2H-tetrazol-2-yl)butanoic acid in its free form, as well as compositions, method of making and methods of using the same. In some embodiments the crystalline forms also contain water (“hydrates”). These materials are useful in the treatment of diseases and disorders which are typically ameliorated by the inhibition of LTA4H. Such diseases and disorders may include inflammatory and autoimmune disorders and pulmonary and respiratory tract inflammation.
    Type: Application
    Filed: July 29, 2019
    Publication date: September 30, 2021
    Inventors: Andreas Kordikowski, Yanxiang Wu