Patents by Inventor Bryan G. Ng

Bryan G. Ng 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).

  • Model-based matching for removing selection bias in quasi-experimental testing of mobile applications
    Patent number: 10372599
    Abstract: The disclosed embodiments provide a system for evaluating a performance of a mobile application. During operation, the system obtains a first set of data associated with adopters of a new version of a mobile application in a partial rollout of the new version and a second set of data associated with non-adopters of the new version in the partial rollout. Next, the system applies a statistical model to the first and second sets of data to select a subset of the non-adopters as potential adopters of the new version. The system then reduces a bias in a quasi-experimental design associated with the mobile application by using the first set of data and a third set of data associated with the potential adopters to estimate an average treatment effect (ATE) between the new version and an older version of the mobile application.
    Type: Grant
    Filed: April 27, 2016
    Date of Patent: August 6, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ya Xu, Nanyu Chen, Bryan G. Ng, Weitao Duan
  • Model validation and bias removal in quasi-experimental testing of mobile applications
    Patent number: 10304067
    Abstract: The disclosed embodiments provide a system for evaluating a performance of a mobile application. During operation, the system obtains, for a statistical model used in a quasi-experimental design, a first predicted outcome produced from a first set of data that is collected from two substantially identical versions of a mobile application. Next, the system uses the first predicted outcome to assess a bias of the statistical model. The system then improves an accuracy of the statistical model by using the assessed bias to normalize a second predicted outcome of the statistical model.
    Type: Grant
    Filed: April 27, 2016
    Date of Patent: May 28, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ya Xu, Nanyu Chen, Bryan G. Ng, Weitao Duan
  • MODEL VALIDATION AND BIAS REMOVAL IN QUASI-EXPERIMENTAL TESTING OF MOBILE APPLICATIONS
    Publication number: 20170316123
    Abstract: The disclosed embodiments provide a system for evaluating a performance of a mobile application. During operation, the system obtains, for a statistical model used in a quasi-experimental design, a first predicted outcome produced from a first set of data that is collected from two substantially identical versions of a mobile application. Next, the system uses the first predicted outcome to assess a bias of the statistical model. The system then improves an accuracy of the statistical model by using the assessed bias to normalize a second predicted outcome of the statistical model.
    Type: Application
    Filed: April 27, 2016
    Publication date: November 2, 2017
    Applicant: LinkedIn Corporation
    Inventors: Ya Xu, Nanyu Chen, Bryan G. Ng, Weitao Duan
  • MODEL-BASED MATCHING FOR REMOVING SELECTION BIAS IN QUASI-EXPERIMENTAL TESTING OF MOBILE APPLICATIONS
    Publication number: 20170316122
    Abstract: The disclosed embodiments provide a system for evaluating a performance of a mobile application. During operation, the system obtains a first set of data associated with adopters of a new version of a mobile application in a partial rollout of the new version and a second set of data associated with non-adopters of the new version in the partial rollout. Next, the system applies a statistical model to the first and second sets of data to select a subset of the non-adopters as potential adopters of the new version. The system then reduces a bias in a quasi-experimental design associated with the mobile application by using the first set of data and a third set of data associated with the potential adopters to estimate an average treatment effect (ATE) between the new version and an older version of the mobile application.
    Type: Application
    Filed: April 27, 2016
    Publication date: November 2, 2017
    Applicant: LinkedIn Corporation
    Inventors: Ya Xu, Nanyu Chen, Bryan G. Ng, Weitao Duan
  • Anticurl backing layer dispersion
    Patent number: 8399063
    Abstract: An anticurl backing layer dispersion, including: a volatile carrier liquid, solid organic or inorganic particles, and a surfactant, wherein the dispersion does not include a binder. An anitcurl backing layer composition including the above-described dispersion, a binder solution comprising a binder and a volatile carrier liquid, and optionally a resin, is also disclosed.
    Type: Grant
    Filed: February 10, 2006
    Date of Patent: March 19, 2013
    Assignee: Xerox Corporation
    Inventors: Cindy C. Chen, Bryan G. Ng, Lanhui Zhang, Man Kit Yip