Patents by Inventor Yantao Qiao

Yantao Qiao 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: 11537615
    Abstract: Methods and apparatus are provided for using machine learning to estimate query resource consumption in a massively parallel processing database (MPPDB). In various embodiments, the machine learning may jointly perform query resource consumption estimation for a query and resource extreme events detection together, utilize an adaptive kernel that is configured to learn most optimal similarity relation metric for data from each system settings, and utilize multi-level stacking technology configured to leverage outputs of diverse base classifier models. Advantages and benefits of the disclosed embodiments include providing faster and more reliable system performance and avoiding resource issues such as out of memory (OOM) occurrences.
    Type: Grant
    Filed: April 23, 2018
    Date of Patent: December 27, 2022
    Assignee: Futurewei Technologies, Inc.
    Inventors: Lei Liu, Mingyi Zhang, Yu Dong, Huaizhi Li, Yantao Qiao
  • Patent number: 10622804
    Abstract: The present disclosure relates to a method for preventing a maloperation of differential protection of an optical fiber caused by saturation of a single Current Transformer (CT) of 3/2 connection. By applying a combination of the differential judgment and the sub-CT current judgment, reliable identification of internal and external faults is ensured, and the problem of misjudging of the internal fault as the external fault can be prevented as well.
    Type: Grant
    Filed: November 15, 2016
    Date of Patent: April 14, 2020
    Assignees: XJ GROUP CORPORATION, XJ ELECTRIC CO., LTD., XUCHANG XJ SOFTWARE TECHNOLOGY CO., LTD., STATE GRID CORPORATION OF CHINA
    Inventors: Baowei Li, Chuankun Ni, Wenzheng Li, Xu Li, Ziqiang Jiang, Yanmei Tang, Huizhen Hao, Xin Shi, Jiansong Zhao, Xintao Dong, Yingying Xi, Quanxia Ma, Yantao Qiao, Yu Tang, Liping Meng
  • Publication number: 20180314735
    Abstract: Methods and apparatus are provided for using machine learning to estimate query resource consumption in a massively parallel processing database (MPPDB). In various embodiments, the machine learning may jointly perform query resource consumption estimation for a query and resource extreme events detection together, utilize an adaptive kernel that is configured to learn most optimal similarity relation metric for data from each system settings, and utilize multi-level stacking technology configured to leverage outputs of diverse base classifier models. Advantages and benefits of the disclosed embodiments include providing faster and more reliable system performance and avoiding resource issues such as out of memory (OOM) occurrences.
    Type: Application
    Filed: April 23, 2018
    Publication date: November 1, 2018
    Inventors: Lei Liu, Mingyi Zhang, Yu Dong, Huaizhi Li, Yantao Qiao
  • Publication number: 20170163024
    Abstract: The present disclosure relates to a method for preventing a maloperation of differential protection of an optical fiber caused by saturation of a single Current Transformer (CT) of 3/2 connection. By applying a combination of the differential judgment and the sub-CT current judgment, reliable identification of internal and external faults is ensured, and the problem of misjudging of the internal fault as the external fault can be prevented as well.
    Type: Application
    Filed: November 15, 2016
    Publication date: June 8, 2017
    Inventors: Baowei Li, Chuankun Ni, Wenzheng Li, Xu Li, Ziqiang Jiang, Yanmei Tang, Huizhen Hao, Xin Shi, Jiansong Zhao, Xintao Dong, Yingying Xi, Quanxia Ma, Yantao Qiao, Yu Tang, Liping Meng