Patents by Inventor Kai AD Yang

Kai AD Yang 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: 11100399
    Abstract: Systems and methods for training a neural network model are disclosed. In the method, training data is obtained by a deep neural network (DNN) first, the deep neural network comprising at least one hidden layer. Then features of the training data are obtained from a specified hidden layer of the at least one hidden layer, the specified hidden layer being connected respectively to a supervised classification network for classification tasks and an autoencoder based reconstruction network for reconstruction tasks. And at last the DNN, the supervised classification network and the reconstruction network are trained as a whole based on the obtained features, the training being guided by the classification tasks and the reconstruction tasks.
    Type: Grant
    Filed: November 21, 2017
    Date of Patent: August 24, 2021
    Assignee: International Business Machines Corporation
    Inventors: Wei Shan Dong, Peng Gao, Chang Sheng Li, Chun Yang Ma, Kai AD Yang, Ren Jie Yao, Ting Yuan, Jun Zhu
  • Publication number: 20190156211
    Abstract: Systems and methods training a model are disclosed. In the method, training data is obtained by a deep neural network (DNN) first, the deep neural network comprising at least one hidden layer. Then features of the training data are obtained from a specified hidden layer of the at least one hidden layer, the specified hidden layer being connected respectively to a supervised classification network for classification tasks and an autoencoder based reconstruction network for reconstruction tasks.
    Type: Application
    Filed: November 21, 2017
    Publication date: May 23, 2019
    Inventors: Wei Shan Dong, Peng Gao, Chang Sheng Li, Chun Yang Ma, Kai AD Yang, Ren Jie Yao, Ting Yuan, Jun Zhu