Patents by Inventor Lisa Lijia Jiang

Lisa Lijia Jiang 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).

  • Processing an incomplete message with a neural network to generate suggested messages
    Patent number: 11216510
    Abstract: Text of an incomplete message entered by a user may be processed using a neural network to suggest messages similar to the message the user is in the process of entering. Word embeddings may be obtained for the words of the text that represent the words in a first vector space. The word embeddings may then be processed by the neural network to compute an input message feature vector that represents the incomplete message in a second vector space. The input message feature vector may be used to select a first designated message as a suggestion from a set of designated messages, and the first designated message may be selected using a similarity score computed from the input message feature vector and a first designated message feature vector corresponding to the first designated message. The first designated message may then be presented as a suggestion to the user.
    Type: Grant
    Filed: August 3, 2018
    Date of Patent: January 4, 2022
    Assignee: ASAPP, INC.
    Inventors: Lisa Lijia Jiang, Tao Lei, Shawn Henry
  • PROCESSING AN INCOMPLETE MESSAGE WITH A NEURAL NETWORK TO GENERATE SUGGESTED MESSAGES
    Publication number: 20200042613
    Abstract: Text of an incomplete message entered by a user may be processed using a neural network to suggest messages similar to the message the user is in the process of entering. Word embeddings may be obtained for the words of the text that represent the words in a first vector space. The word embeddings may then be processed by the neural network to compute an input message feature vector that represents the incomplete message in a second vector space. The input message feature vector may be used to select a first designated message as a suggestion from a set of designated messages, and the first designated message may be selected using a similarity score computed from the input message feature vector and a first designated message feature vector corresponding to the first designated message. The first designated message may then be presented as a suggestion to the user.
    Type: Application
    Filed: August 3, 2018
    Publication date: February 6, 2020
    Inventors: Lisa Lijia Jiang, Tao Lei, Shawn Henry