Patents by Inventor Jingya Jiang

Jingya Jiang 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).

  • Publication number: 20220198212
    Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.
    Type: Application
    Filed: March 9, 2022
    Publication date: June 23, 2022
    Inventors: Li Wen, Zhanpeng Huo, Jingya Jiang
  • Patent number: 11308365
    Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.
    Type: Grant
    Filed: June 13, 2019
    Date of Patent: April 19, 2022
    Assignee: Expedia, Inc.
    Inventors: Li Wen, Zhanpeng Huo, Jingya Jiang
  • Publication number: 20200394441
    Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.
    Type: Application
    Filed: June 13, 2019
    Publication date: December 17, 2020
    Inventors: Li Wen, Zhanpeng Huo, Jingya Jiang