Patents by Inventor Zhanzhong PANG

Zhanzhong PANG 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 apparatus for training classification model, method and apparatus for classifying
    Patent number: 10902296
    Abstract: Disclosed are a method and apparatus for training a classification model and a method and apparatus for classifying. A method for classifying comprises: extracting a feature from to-be-tested information inputted to a classification model having been trained; compressing the extracted feature into a low dimensional hidden feature capable of representing the to-be-tested information; performing decompression on the hidden feature to obtain a decompressed feature; performing rebuilding on the to-be-tested information based on the decompressed feature, to obtain reconstructed to-be-tested information; judging, based on a rebuild loss between the to-be-tested information and the reconstructed to-be-tested information, whether the to-be-tested information belongs to a known class or an unknown class; and performing classification on the to-be-tested information, via the classification model having been trained, in a case where it is determined that the to-be-tested information belongs to a known class.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: January 26, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Zhanzhong Pang, Xiaoyi Yu, Jun Sun
  • METHOD AND APPARATUS FOR TRAINING CLASSIFICATION MODEL, METHOD AND APPARATUS FOR CLASSIFYING
    Publication number: 20190392260
    Abstract: Disclosed are a method and apparatus for training a classification model and a method and apparatus for classifying. A method for classifying comprises: extracting a feature from to-be-tested information inputted to a classification model having been trained; compressing the extracted feature into a low dimensional hidden feature capable of representing the to-be-tested information; performing decompression on the hidden feature to obtain a decompressed feature; performing rebuilding on the to-be-tested information based on the decompressed feature, to obtain reconstructed to-be-tested information; judging, based on a rebuild loss between the to-be-tested information and the reconstructed to-be-tested information, whether the to-be-tested information belongs to a known class or an unknown class; and performing classification on the to-be-tested information, via the classification model having been trained, in a case where it is determined that the to-be-tested information belongs to a known class.
    Type: Application
    Filed: June 19, 2019
    Publication date: December 26, 2019
    Applicant: FUJITSU LIMITED
    Inventors: Zhanzhong PANG, Xiaoyi YU, Jun SUN