Patents by Inventor Wubai Zhou

Wubai Zhou 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: 10762544
    Abstract: A method for providing a resolution to an open issue is described. The method includes utilizing structured corresponding learning to determine pivots from a database having historical data records to determine data records having similar open issues and providing their resolution. The method further includes providing a recommended resolution for the open issue based on the historical data records.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: September 1, 2020
    Assignees: INTERNATIONAL BUSINESS MACHINES CORPORATION, ST. JOHN'S UNIVERSITY, THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
    Inventors: Genady Grabarnik, Tao Li, Larisa Shwartz, Wubai Zhou
  • Publication number: 20200124430
    Abstract: The disclosed embodiments relate to detecting sidewalk riding by a personal mobility vehicle (e.g., an electric scooter). For example, a method includes collecting sensor data (e.g., vibration data of an accelerometer) generated by the scooter while traveling on a surface of a travel pathway. The method further includes identifying a surface type by processing the collected sensor data with a computer model that can distinguish among different surface types, and determining that the travel pathway is unsuitable (e.g., a sidewalk) for the scooter based at least in part on the identified surface type (e.g., a pattern of concrete sections). In response to determining that the travel pathway is a sidewalk, causing the personal mobility vehicle to assist the user in navigating the personal mobility vehicle, alter a mobility operation of the personal mobility vehicle, or notify a surrounding area of a presence of the personal mobility vehicle.
    Type: Application
    Filed: October 21, 2019
    Publication date: April 23, 2020
    Inventors: Henry Weston Bradlow, Punit Nitin Shah, Wubai Zhou, Jinsong Tan, Emad El-Haraty, Li Jiang
  • Patent number: 10217153
    Abstract: A method for providing a resolution to an open issue is described. The method includes utilizing structured corresponding learning to determine pivots from a database having historical data records to determine data records having similar open issues and providing their resolution. The method further includes providing a recommended resolution for the open issue based on the historical data records.
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: February 26, 2019
    Assignees: INTERNATIONAL BUSINESS MACHINES CORPORATION, ST. JOHN'S UNIVERSITY, THE FLORIDA INTERNATIONAL UNIVERSITY
    Inventors: Genady Grabarnik, Tao Li, Larisa Shwartz, Wubai Zhou
  • Publication number: 20190026805
    Abstract: A method for providing a resolution to an open issue is described. The method includes utilizing structured corresponding learning to determine pivots from a database having historical data records to determine data records having similar open issues and providing their resolution. The method further includes providing a recommended resolution for the open issue based on the historical data records.
    Type: Application
    Filed: September 26, 2018
    Publication date: January 24, 2019
    Inventors: Genady GRABARNIK, Tao LI, Larisa SHWARTZ, Wubai ZHOU
  • Publication number: 20180005286
    Abstract: A method for providing a resolution to an open issue is described. The method includes utilizing structured corresponding learning to determine pivots from a database having historical data records to determine data records having similar open issues and providing their resolution. The method further includes providing a recommended resolution for the open issue based on the historical data records.
    Type: Application
    Filed: June 29, 2016
    Publication date: January 4, 2018
    Inventors: Genady Grabarnik, Tao Li, Larisa Shwartz, Wubai Zhou