Patents by Inventor Albert Cui

Albert Cui 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).

  • Hybrid entity matching to drive program execution
    Patent number: 10970325
    Abstract: In an embodiment, the disclosed technologies include receiving a set of digital inputs; where the set of digital inputs includes a candidate entity-member entity pair that includes candidate entity data and member entity data; where the member entity data has been extracted from a node of an online service; where an exact match has not been found between the candidate entity data and the member entity data; in response to the set of digital inputs, outputting models of the candidate entity data and the member entity data, respectively; where the models indicate weight values assigned to text in the candidate entity data and weight values assigned to text in the member entity data, respectively; calculating a similarity score using the models; in response to the similarity score matching a threshold, inputting the candidate entity-member entity pair to a classifier to produce a classification; where the classifier uses a machine learning model that has been trained using features derived from previously-analyz
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: April 6, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Qiannan Yin, Songtao Guo, Yi Wang, Albert Cui, Joonhyung Lim, Qunzeng Liu, Lizabeth Li, Carrie Peng, Yang Zhou
  • HYBRID ENTITY MATCHING TO DRIVE PROGRAM EXECUTION
    Publication number: 20200210466
    Abstract: In an embodiment, the disclosed technologies include receiving a set of digital inputs; where the set of digital inputs includes a candidate entity-member entity pair that includes candidate entity data and member entity data; where the member entity data has been extracted from a node of an online service; where an exact match has not been found between the candidate entity data and the member entity data; in response to the set of digital inputs, outputting models of the candidate entity data and the member entity data, respectively; where the models indicate weight values assigned to text in the candidate entity data and weight values assigned to text in the member entity data, respectively; calculating a similarity score using the models; in response to the similarity score matching a threshold, inputting the candidate entity-member entity pair to a classifier to produce a classification; where the classifier uses a machine learning model that has been trained using features derived from previously-analyz
    Type: Application
    Filed: December 26, 2018
    Publication date: July 2, 2020
    Inventors: Qiannan Yin, Songtao Guo, Yi Wang, Albert Cui, Joonhyung Lim, Qunzeng Liu, Lizabeth Li, Carrie Peng, Yang Zhou
  • SYSTEM FOR DETERMINING FORMATION STRESSES USING DRILL CUTTINGS
    Publication number: 20170370193
    Abstract: Utilizing multiple rock cores samples obtained while drilling a well to determine the mechanical properties of the rock constituting the wellbore and formation zones within the wellbore. A geomechanical model is created from the samples by nanoindentation testing to provide the raw data from which the geomechanical model is then created.
    Type: Application
    Filed: June 27, 2017
    Publication date: December 28, 2017
    Applicant: Trican Well Service, Ltd.
    Inventors: Kenneth Glover, Troy Bozarth, Albert Cui