Patents by Inventor Yawei Jia

Yawei Jia 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).

  • Method and device for input prediction
    Patent number: 11409374
    Abstract: A method and apparatus for input prediction. The method includes: obtaining an input current text; obtaining a first state parameter of a first text from a cache; inputting the current text and the first state parameter into the recurrent neural network, determining a state parameter of the current text through the recurrent neural network according to the first state parameter; and determining a predicted text of the current text from the word library according to the state parameter of the current text. The first text is a previous text of the current text; the first state parameter is determined through a preset recurrent neural network according to the first text and a state parameter of a previous text of the first text; the recurrent neural network is trained with a preset word library; the word library is used to store words. Through the method and apparatus, time for determining a predicted text is reduced.
    Type: Grant
    Filed: June 18, 2019
    Date of Patent: August 9, 2022
    Assignee: Beijing Kingsoft Internet Security Software Co., Ltd.
    Inventors: Yawei Jia, Xiaoqiang Wu
  • Method and Device for Input Prediction
    Publication number: 20210405765
    Abstract: A method and apparatus for input prediction. The method includes: obtaining an input current text; obtaining a first state parameter of a first text from a cache; inputting the current text and the first state parameter into the recurrent neural network, determining a state parameter of the current text through the recurrent neural network according to the first state parameter; and determining a predicted text of the current text from the word library according to the state parameter of the current text. The first text is a previous text of the current text; the first state parameter is determined through a preset recurrent neural network according to the first text and a state parameter of a previous text of the first text; the recurrent neural network is trained with a preset word library; the word library is used to store words. Through the method and apparatus, time for determining a predicted text is reduced.
    Type: Application
    Filed: June 18, 2019
    Publication date: December 30, 2021
    Inventors: Yawei Jia, Xiaoqiang Wu