Patents by Inventor Shuzhan Bi

Shuzhan Bi 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: 11294675
    Abstract: A method for accessing a memory of a multi-core system, a related apparatus, a system, and a storage medium involve obtaining data from a system memory according to a prefetch instruction, and sending a message to a core that carries the to-be-accessed data. Each segment of data is stored in an intra-core cache based on the prefetch instruction.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: April 5, 2022
    Assignee: HUAWEI TECHNOLGOIES CO., LTD.
    Inventors: Jun Yao, Yasuhiko Nakashima, Tao Wang, Wei Zhang, Zuqi Liu, Shuzhan Bi
  • Patent number: 11151182
    Abstract: A classification model training method includes obtaining a positive training set and a first negative training set, where the positive training set includes samples of a positive sample set in a corpus, where the first negative training set includes samples of an unlabeled sample set in the corpus, training, using the positive training set and the first negative training set, to obtain a first classification model, determining, using the first classification model, a pseudo negative sample in the first negative training set, removing the pseudo negative sample from the first negative training set, updating the first negative training set to a second negative training set, and training, using the positive training set and the second negative training set, to obtain a target classification model.
    Type: Grant
    Filed: October 9, 2019
    Date of Patent: October 19, 2021
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventors: Yasheng Wang, Yang Zhang, Shuzhan Bi, Youliang Yan
  • Publication number: 20200073665
    Abstract: A method for accessing a memory of a multi-core system, a related apparatus, a system, and a storage medium involve obtaining data from a system memory according to a prefetch instruction, sending a message to a core that carries the to-be-accessed data. Each segment of data is stored in an intra-core cache based on the prefetch instruction.
    Type: Application
    Filed: November 8, 2019
    Publication date: March 5, 2020
    Inventors: Jun Yao, Yasuhiko Nakashima, Tao Wang, Wei Zhang, Zuqi Liu, Shuzhan Bi
  • Publication number: 20200042829
    Abstract: A classification model training method includes obtaining a positive training set and a first negative training set, where the positive training set includes samples of a positive sample set in a corpus, where the first negative training set includes samples of an unlabeled sample set in the corpus, training, using the positive training set and the first negative training set, to obtain a first classification model, determining, using the first classification model, a pseudo negative sample in the first negative training set, removing the pseudo negative sample from the first negative training set, updating the first negative training set to a second negative training set, and training, using the positive training set and the second negative training set, to obtain a target classification model.
    Type: Application
    Filed: October 9, 2019
    Publication date: February 6, 2020
    Inventors: Yasheng Wang, Yang Zhang, Shuzhan Bi, Youliang Yan