Patents by Inventor Liyang Hao

Liyang Hao 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: 12619829
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Grant
    Filed: April 21, 2024
    Date of Patent: May 5, 2026
    Assignee: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Publication number: 20260010731
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Application
    Filed: September 16, 2025
    Publication date: January 8, 2026
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Publication number: 20250355951
    Abstract: A search engine leverages a neural translation model to provide diverse and multiple query reformulations. Two decoders are injected and a diversity inducing optimization function is introduced. After a query input is received from a user, a number of items are retrieved from a database in response to the query input. In response to a determination the query input is a null and low query based on a number of responsive items, a plurality of decoders is injected and a diversity inducing optimization function is leveraged to generate a plurality of diverse reformulated queries. A plurality of query results corresponding to the plurality of diverse reformulated queries is provided as output.
    Type: Application
    Filed: December 23, 2024
    Publication date: November 20, 2025
    Inventors: Jayanth Kumar YETUKURI, Yuyan WANG, Ishita Kamal KHAN, Liyang HAO, Zhe Wu
  • Publication number: 20250077779
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Application
    Filed: April 21, 2024
    Publication date: March 6, 2025
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Patent number: 12086549
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: September 10, 2024
    Assignee: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Publication number: 20210279421
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Application
    Filed: January 27, 2021
    Publication date: September 9, 2021
    Applicant: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Patent number: 10909323
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Grant
    Filed: March 9, 2020
    Date of Patent: February 2, 2021
    Assignee: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Publication number: 20200293718
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Application
    Filed: March 9, 2020
    Publication date: September 17, 2020
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Patent number: 10585990
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: March 10, 2020
    Assignee: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng