Patents by Inventor Yangye FU

Yangye FU 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).

  • Model and method for multi-source domain adaptation by aligning partial features
    Patent number: 11960568
    Abstract: A multi-source domain adaptation model by aligning partial features includes a general feature extraction module, a feature selection module for partial feature extraction with the dedicated loss function, three partial feature alignment losses, and two classifiers for adversarial training, where the three partial feature alignment losses include an intra-class partial feature alignment loss, an inter-domain partial feature alignment loss, and an inter-class partial feature alignment loss. With the partial features extracted by the general feature extraction module and the feature selection module following three different partial feature alignment losses, the model is capable of clustering the samples from the identical categories and isolating samples from distinct classes.
    Type: Grant
    Filed: November 5, 2021
    Date of Patent: April 16, 2024
    Assignee: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Xing Xu, Yangye Fu, Yang Yang, Jie Shao, Zheng Wang
  • MODEL AND METHOD FOR MULTI-SOURCE DOMAIN ADAPTATION BY ALIGNING PARTIAL FEATURES
    Publication number: 20220138495
    Abstract: A multi-source domain adaptation model by aligning partial features includes a general feature extraction module, a feature selection module for partial feature extraction with the dedicated loss function, three partial feature alignment losses, and two classifiers for adversarial training, where the three partial feature alignment losses include an intra-class partial feature alignment loss, an inter-domain partial feature alignment loss, and an inter-class partial feature alignment loss. With the partial features extracted by the general feature extraction module and the feature selection module following three different partial feature alignment losses, the model is capable of clustering the samples from the identical categories and isolating samples from distinct classes.
    Type: Application
    Filed: November 5, 2021
    Publication date: May 5, 2022
    Inventors: Xing XU, Yangye FU, Yang YANG, Jie SHAO, Zheng WANG