Patents by Inventor Zhengda Zhao

Zhengda Zhao 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).

  • Attribute extraction
    Patent number: 11768888
    Abstract: Disclosed are systems and methods for autonomously extracting attributes from domains of a vertical. The disclosed implementations train a deep neural network (“DNN”) based on one or more domains of a vertical using labeled embedding vectors generated for nodes of those one or more domains. The trained DNN may then be used to autonomously label nodes of other domains within the same vertical such that attributes corresponding to those labels can be extracted.
    Type: Grant
    Filed: August 11, 2021
    Date of Patent: September 26, 2023
    Assignee: Pinterest, Inc.
    Inventors: Jinfeng Zhuang, Zhengda Zhao, Vijai Mohan
  • ATTRIBUTE EXTRACTION
    Publication number: 20220327168
    Abstract: Disclosed are systems and methods for autonomously extracting attributes from domains of a vertical. The disclosed implementations train a deep neural network (“DNN”) based on one or more domains of a vertical using labeled embedding vectors generated for nodes of those one or more domains. The trained DNN may then be used to autonomously label nodes of other domains within the same vertical such that attributes corresponding to those labels can be extracted.
    Type: Application
    Filed: August 11, 2021
    Publication date: October 13, 2022
    Inventors: Jinfeng Zhuang, Zhengda Zhao, Vijai Mohan