Patents by Inventor Xiaoyi YU

Xiaoyi YU 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).

  • Publication number: 20240346399
    Abstract: The present application relates to the field of network information technology. In response to a problem of designing and manufacturing a product solely based on a user profile in the existing technology, a resource scheduling method and system are provided, so as to achieve a goal that a user satisfies with the products, an enterprise performs efficient production and a resource supplier timely provide resources. The present application ensures efficient production of user personalized products and personalized procurement of the resources by tripartite coordinating the user profile, a product profile and a resource profile; at the same time, forms resource requirements based on a personalized product design; and establishes the resource profile and transmitted it to the resource suppliers, so as to provide resource scheduling references to the resource suppliers for a quick supply.
    Type: Application
    Filed: June 27, 2024
    Publication date: October 17, 2024
    Inventors: Lucheng CHEN, Xiaoyi YU, Ming SUN, Xiaoping LU, Weifeng LIU, Yumei WANG, Yaqiong GAO
  • Patent number: 11455525
    Abstract: A method and apparatus of open set recognition, and a computer-readable storage medium are disclosed. The method comprises acquiring auxiliary data and training data of known categories for open set recognition, training a neural network alternately using the auxiliary data and the training data, until convergence; extracting a feature of data to be recognized for open set recognition, using the trained neural network; and recognizing a category of data to be recognized, based on the feature of the data to be recognized.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: September 27, 2022
    Assignee: FUJITSU LIMITED
    Inventors: Xiaoyi Yu, Jun Sun
  • 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
  • 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
  • Publication number: 20190147336
    Abstract: A method and apparatus of open set recognition, and a computer-readable storage medium are disclosed. The method comprises acquiring auxiliary data and training data of known categories for open set recognition, training a neural network alternately using the auxiliary data and the training data, until convergence; extracting a feature of data to be recognized for open set recognition, using the trained neural network; and recognizing a category of data to be recognized, based on the feature of the data to be recognized.
    Type: Application
    Filed: November 5, 2018
    Publication date: May 16, 2019
    Applicant: FUJITSU LIMITED
    Inventors: Xiaoyi YU, Jun Sun