Patents by Inventor Youran Qi

Youran Qi 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: 12367384
    Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.
    Type: Grant
    Filed: April 4, 2024
    Date of Patent: July 22, 2025
    Assignee: Sanofi
    Inventors: Qi Tang, Youran Qi
  • Publication number: 20240265246
    Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.
    Type: Application
    Filed: April 4, 2024
    Publication date: August 8, 2024
    Inventors: Qi Tang, Youran Qi
  • Patent number: 11977972
    Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.
    Type: Grant
    Filed: March 7, 2023
    Date of Patent: May 7, 2024
    Assignee: Sanofi
    Inventors: Qi Tang, Youran Qi
  • Publication number: 20230260606
    Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for estimating treatment effect of medical treatments.
    Type: Application
    Filed: April 27, 2023
    Publication date: August 17, 2023
    Inventors: Qi Tang, Wodan Ling, Youran Qi
  • Publication number: 20230222330
    Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.
    Type: Application
    Filed: March 7, 2023
    Publication date: July 13, 2023
    Inventors: Qi Tang, Youran Qi
  • Patent number: 11694773
    Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for estimating treatment effect of medical treatments.
    Type: Grant
    Filed: February 13, 2020
    Date of Patent: July 4, 2023
    Assignee: Sanofi
    Inventors: Qi Tang, Wodan Ling, Youran Qi
  • Patent number: 11625589
    Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: April 11, 2023
    Assignee: Sanofi
    Inventors: Qi Tang, Youran Qi
  • Publication number: 20200311527
    Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.
    Type: Application
    Filed: March 23, 2020
    Publication date: October 1, 2020
    Inventors: Qi Tang, Youran Qi
  • Publication number: 20200275885
    Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for estimating treatment effect of medical treatments.
    Type: Application
    Filed: February 13, 2020
    Publication date: September 3, 2020
    Inventors: Qi Tang, Wodan Ling, Youran Qi