Patents by Inventor Bonan Dong

Bonan Dong 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: 11487909
    Abstract: Systems, methods, and non-transitory computer readable media are configured to determine a likelihood of a user choosing to reveal a given content item when contents of the content item are obscured. The likelihood can be determined based at least in part on a trained machine learning model. An extent by which to obscure the content item based at least in part on the likelihood can be determined. Subsequently, an obscured version of the content item can be provided for display. The content item can be obscured based at least in part on the determined extent.
    Type: Grant
    Filed: February 1, 2021
    Date of Patent: November 1, 2022
    Assignee: Meta Platforms, Inc.
    Inventors: Fabiana Meira Pires de Azevedo, Marc Thomas Cruz, Matthew Miklasevich, Arvin Aminpour, Bonan Dong, Jason Rose
  • Publication number: 20210232714
    Abstract: Systems, methods, and non-transitory computer readable media are configured to determine a likelihood of a user choosing to reveal a given content item when contents of the content item are obscured. The likelihood can be determined based at least in part on a trained machine learning model. An extent by which to obscure the content item based at least in part on the likelihood can be determined. Subsequently, an obscured version of the content item can be provided for display. The content item can be obscured based at least in part on the determined extent.
    Type: Application
    Filed: February 1, 2021
    Publication date: July 29, 2021
    Inventors: Fabiana Meira Pires de Azevedo, Marc Thomas Cruz, Matthew Miklasevich, Arvin Aminpour, Bonan Dong, Jason Rose
  • Publication number: 20190188421
    Abstract: Systems, methods, and non-transitory computer readable media are configured to determine a likelihood of a user choosing to reveal a given content item when contents of the content item are obscured. The likelihood can be determined based at least in part on a trained machine learning model. An extent by which to obscure the content item based at least in part on the likelihood can be determined. Subsequently, an obscured version of the content item can be provided for display. The content item can be obscured based at least in part on the determined extent.
    Type: Application
    Filed: December 15, 2017
    Publication date: June 20, 2019
    Inventors: Fabiana Meira Pires de Azevedo, Marc Thomas Cruz, Matthew Miklasevich, Arvin Aminpour, Bonan Dong, Jason Rose