Patents by Inventor David Spenser DyTang

David Spenser DyTang 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: 20230388318
    Abstract: A computing system can receive location data from a computing device of a driver. Based at least in part on the location data, execute a location-based feasibility model to determine that one or more anomalous locational attributes are present, where the location-based feasibility model outputs a probability that the computing device of the respective driver is performing location-spoofing. Based on the probability indicating that the computing device of the driver is performing location-spoofing, the system associates a data set with a driver profile of the respective driver.
    Type: Application
    Filed: August 10, 2023
    Publication date: November 30, 2023
    Inventors: Sheng Yang, Ze Huang, Qiao Wang, David Spenser DyTang, Kiarash Amiri, Tara Michelle Mitchell, Xiao Cai
  • Patent number: 11777954
    Abstract: A computing system can receive location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service. The system can determine a set of locational attributes of a respective driver and determine whether one or more anomalous locational attributes are present in the set of locational attributes of the respective driver. In response to determining that one or more anomalous locational attributes are present, the system can associate a data set with a driver profile of the respective driver.
    Type: Grant
    Filed: March 17, 2021
    Date of Patent: October 3, 2023
    Assignee: Uber Technologies, Inc.
    Inventors: Sheng Yang, Ze Huang, Qiao Wang, David Spenser DyTang, Kiarash Amiri, Tara Michelle Mitchell, Xiao Cai
  • Publication number: 20210203672
    Abstract: A computing system can receive location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service. The system can determine a set of locational attributes of a respective driver and determine whether one or more anomalous locational attributes are present in the set of locational attributes of the respective driver. In response to determining that one or more anomalous locational attributes are present, the system can associate a data set with a driver profile of the respective driver.
    Type: Application
    Filed: March 17, 2021
    Publication date: July 1, 2021
    Inventors: Sheng Yang, Ze Huang, Qiao Wang, David Spenser DyTang, Kiarash Amiri, Tara Michelle Mitchell, Xiao Cai
  • Patent number: 10999299
    Abstract: A computing system can receive, over one or more networks, location data from the computing devices of user as the user operate throughout a region. For each user, the computing system can determine whether the user is operating a location-spoofing application on the computing device of the user based, at least in part, on the location data received from the computing device of the user.
    Type: Grant
    Filed: October 9, 2018
    Date of Patent: May 4, 2021
    Assignee: UBER TECHNOLOGIES, INC.
    Inventors: Sheng Yang, Ze Huang, Qiao Wang, David Spenser DyTang, Kiarash Amiri, Tara Michelle Mitchell, Xiao Cai
  • Publication number: 20200112570
    Abstract: A computing system can receive, over one or more networks, location data from the computing devices of user as the user operate throughout a region. For each user, the computing system can determine whether the user is operating a location-spoofing application on the computing device of the user based, at least in part, on the location data received from the computing device of the user.
    Type: Application
    Filed: October 9, 2018
    Publication date: April 9, 2020
    Inventors: Sheng Yang, Ze Huang, Qiao Wang, David Spenser DyTang, Kiarash Amiri, Tara Michelle Mitchell, Xiao Cai