Patents by Inventor Lijia JIANG

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).

  • Publication number: 20230159959
    Abstract: The present application discloses a Bacillus sp. producing a bioflocculant and a biosurfactant. The microbial classification of the Bacillus sp. is named Bacillus sp. SS15, which has been preserved in China Center for Type Culture Collection on Mar. 29, 2021, and its preservation number is CCTCC M2021295; the 16S rRNA sequence of SS15 is shown as SEQ ID NO.1. Bacillus sp. SS15 obtained by the present application has the function of simultaneously producing a bioflocculant and a biosurfactant. The bioflocculant and biosurfactant produced by Bacillus sp. SS15 of the present application not only have high activity, but also show strong tolerance in the ranges of pH (2-12), temperature (4° C.-100° C.) and salinity (0-100 g/L). Meanwhile, they can be applied to the remediation of a fracturing flowback liquid and can effectively promote the removal of chroma, suspended solids, COD, n-alkanes and polycyclic aromatic hydrocarbons at the same time.
    Type: Application
    Filed: January 16, 2023
    Publication date: May 25, 2023
    Inventors: Chunfang ZHANG, Feng ZENG, Hanghai ZHOU, Lijia JIANG, Dongdong ZHANG, Yanhong LI, Shichen LI
  • 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
  • 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