Patents by Inventor Zhiliang Ma

Zhiliang Ma 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: 11924982
    Abstract: A curved display apparatus is provided, including one or more bending portions where the curved display apparatus is bent. At least the one or more bending portions of the curved display apparatus including a stacked structure, which includes a support layer; a display panel on the support layer; and N number of pressure sensitive adhesive layers and M number of flexible base layers between the support layer and the display panel, N is an integer equal to or greater than 3, M is an integer equal to or greater than 2. A first one of the N number of pressure sensitive adhesive layers adheres the support layer and a first one of the M number of flexible base layers together. A last one of the N number of pressure sensitive adhesive layers adheres the display panel and a last one of the M number of flexible base layers together.
    Type: Grant
    Filed: November 17, 2020
    Date of Patent: March 5, 2024
    Assignees: Chengdu BOE Optoelectronics Technology Co., Ltd., BOE Technology Group Co., Ltd.
    Inventors: Chang Liu, Chao Wang, Zhiliang Jiang, Pan Zhao, Qian Ma, Dianjie Hou
  • Patent number: 10949771
    Abstract: Systems, methods, and non-transitory computer-readable media can collect past user information and churn data for a plurality of users. A churn prediction model is trained using the past user information and churn data. A churn propensity score is calculated for a present user based on the churn prediction model, the churn propensity score indicative of the likelihood of the present user to churn.
    Type: Grant
    Filed: January 28, 2016
    Date of Patent: March 16, 2021
    Assignee: Facebook, Inc.
    Inventors: Vincent Gonguet, Aude Hofleitner, Sofus Attila Macskassy, Steven James Jarrett, Aruna Bharathi, Zhiliang Ma
  • Publication number: 20170220933
    Abstract: Systems, methods, and non-transitory computer-readable media can collect past user information and churn data for a plurality of users. A churn prediction model is trained using the past user information and churn data. A churn propensity score is calculated for a present user based on the churn prediction model, the churn propensity score indicative of the likelihood of the present user to churn.
    Type: Application
    Filed: January 28, 2016
    Publication date: August 3, 2017
    Inventors: Vincent Gonguet, Aude Hofleitner, Sofus Attila Macskassy, Steven James Jarrett, Aruna Bharathi, Zhiliang Ma