Patents by Inventor Chenye GUAN

Chenye GUAN 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).

  • Method and device for optimizing simulation data, and computer-readable storage medium
    Patent number: 12014258
    Abstract: A method, device and a computer-readable storage medium for optimizing simulation data are provided. The method for optimizing simulation data can include: inputting the simulation data generated by a simulator to a first generative adversarial network comprising a migration model; and optimizing the simulation data generated by the simulator with the migration model to generate optimized simulation data. In an embodiment of the present application, the simulation data is optimized by the generative adversarial network to enable the simulation data closer to the real data in representation. Therefore, the quality and accuracy of the simulation data can be ensured, the validity and reliability of the simulation data can be improved at least to some extent, and the cost for constructing the simulator can also be reduced.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: June 18, 2024
    Assignee: Baidu Online Network Technology (Beijing) Co. Ltd.
    Inventors: Chenye Guan, Feihu Zhang, Ruigang Yang, Liang Wang, Yu Ma
  • METHOD AND DEVICE FOR OPTIMIZING SIMULATION DATA, AND COMPUTER-READABLE STORAGE MEDIUM
    Publication number: 20200082250
    Abstract: A method, device and a computer-readable storage medium for optimizing simulation data are provided. The method for optimizing simulation data can include: inputting the simulation data generated by a simulator to a first generative adversarial network comprising a migration model; and optimizing the simulation data generated by the simulator with the migration model to generate optimized simulation data. In an embodiment of the present application, the simulation data is optimized by the generative adversarial network to enable the simulation data closer to the real data in representation. Therefore, the quality and accuracy of the simulation data can be ensured, the validity and reliability of the simulation data can be improved at least to some extent, and the cost for constructing the simulator can also be reduced.
    Type: Application
    Filed: July 11, 2019
    Publication date: March 12, 2020
    Inventors: Chenye GUAN, Feihu ZHANG, Ruigang YANG, Liang WANG, Yu MA