Patents by Inventor Liujie ZHANG

Liujie ZHANG 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: 12217150
    Abstract: A data processing method and apparatus based on a recurrent neural network and a device are provided. The recurrent neural network includes multiple recurrent units, each recurrent unit includes multiple data processing nodes and a start node, at least one recurrent unit includes an end node, and at least one data processing node is included between the start node and the end node. During the processing of the first target processing object in a first recurrent unit, in a case that the first target processing object does not satisfy the first preset condition, the start node in the first recurrent unit is run to add a tag to the data processing nodes subsequent to the start node and stop addition of the tag in response to reaching the end node, and no processing is performed by the data processing nodes with the tag.
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: February 4, 2025
    Assignee: Beijing Baidu Netcom Science and Technology Co., LTD
    Inventors: Huihuang Zheng, Xiang Lan, Yamei Li, Liujie Zhang, Fei Guo, Yanjun Ma, Dianhai Yu
  • Patent number: 11604774
    Abstract: A method and apparatus of converting a schema in a deep learning framework, an electronic device, and a computer storage medium are provided. The method of converting the schema in the deep learning framework includes: updating a first schema, based on first syntax elements in the first schema and a context relationship between the first syntax elements in the first schema, so as to obtain an updated first schema; generating second syntax elements corresponding to updated first syntax elements in the updated first schema, based on a mapping relationship between the updated first syntax elements in the updated first schema and second syntax elements in a second schema system; and combining the second syntax elements according to a context relationship between the updated first syntax elements, so as to generate a second schema.
    Type: Grant
    Filed: September 21, 2021
    Date of Patent: March 14, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Liujie Zhang, Yamei Li, Huihuang Zheng, Hongyu Liu, Xiang Lan, Dianhai Yu, Yanjun Ma, Tian Wu, Haifeng Wang
  • Patent number: 11531529
    Abstract: The present disclosure discloses a method, an apparatus and an electronic device for deploying an operator in a deep learning framework and relates to the field of artificial intelligence technology such as deep learning. And the solution is: acquiring a source file of the operator; compiling the source file of the operator to form a dynamic link library of the operator; generating an interface file transferred from the dynamic link library of the operator; generating an installable library file according to the dynamic link library and the interface file; installing the installable library file to a target programming language library.
    Type: Grant
    Filed: October 13, 2021
    Date of Patent: December 20, 2022
    Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Liujie Zhang, Xiang Lan, Huihuang Zheng, Hongyu Liu, Wei Zhou, Yanjun Ma, Dianhai Yu, Haifeng Wang
  • Publication number: 20220035614
    Abstract: The present disclosure discloses a method, an apparatus and an electronic device for deploying an operator in a deep learning framework and relates to the field of artificial intelligence technology such as deep learning. And the solution is: acquiring a source file of the operator; compiling the source file of the operator to form a dynamic link library of the operator; generating an interface file transferred from the dynamic link library of the operator; generating an installable library file according to the dynamic link library and the interface file; installing the installable library file to a target programming language library.
    Type: Application
    Filed: October 13, 2021
    Publication date: February 3, 2022
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Liujie ZHANG, Xiang LAN, Huihuang ZHENG, Hongyu LIU, Wei ZHOU, Yanjun MA, Dianhai YU, Haifeng WANG
  • Publication number: 20220004526
    Abstract: According to exemplary embodiments of the present disclosure, there is provided a method and apparatus of converting a schema in a deep learning framework, and a computer storage medium.
    Type: Application
    Filed: September 21, 2021
    Publication date: January 6, 2022
    Inventors: Liujie ZHANG, Yamei LI, Huihuang ZHENG, Hongyu LIU, Xiang LAN, Dianhai YU, Yanjun MA, Tian WU, Haifeng WANG
  • Publication number: 20210406641
    Abstract: A data processing method and apparatus based on a recurrent neural network and a device are provided. The recurrent neural network includes multiple recurrent units, each recurrent unit includes multiple data processing nodes and a start node, at least one recurrent unit includes an end node, and at least one data processing node is included between the start node and the end node. During the processing of the first target processing object in a first recurrent unit, in a case that the first target processing object does not satisfy the first preset condition, the start node in the first recurrent unit is run to add a tag to the data processing nodes subsequent to the start node and stop addition of the tag in response to reaching the end node, and no processing is performed by the data processing nodes with the tag.
    Type: Application
    Filed: January 11, 2021
    Publication date: December 30, 2021
    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Huihuang ZHENG, Xiang LAN, Yamei LI, Liujie ZHANG, Fei GUO, Yanjun MA, Dianhai YU
  • Publication number: 20210365767
    Abstract: The disclosure provides a method and a device for operator registration processing based on deep learning, an electronic device, and a storage medium. Description information and logic operation information of a registered operator are obtained. An operator type of the registered operator is determined based on the logic operation information. Configuration information corresponding to the operator type and preset in a deep learning framework is obtained. It is detected whether the registered operator is registered completely based on the description information and the configuration information.
    Type: Application
    Filed: August 10, 2021
    Publication date: November 25, 2021
    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Liujie ZHANG, Xiang LAN, Tao LUO, Huihuang ZHENG