Patents by Inventor Qiankun Zhao

Qiankun Zhao 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 of characterizing a social network communication using motifs
    Patent number: 8560681
    Abstract: The present disclosure relates generally to methods for characterizing communication networks, and more particularly to methods of characterizing the propagation of information throughout communications in such networks.
    Type: Grant
    Filed: May 10, 2011
    Date of Patent: October 15, 2013
    Assignee: Telefonica, S.A.
    Inventors: Nuria Oliver Ramirez, Qiankun Zhao
  • METHOD OF CHARACTERIZING A SOCIAL NETWORK COMMUNICATION USING MOTIFS
    Publication number: 20120290649
    Abstract: The present disclosure relates generally to methods for characterizing communication networks, and more particularly to methods of characterizing the propagation of information throughout communications in such networks.
    Type: Application
    Filed: May 10, 2011
    Publication date: November 15, 2012
    Applicant: TELEFONICA, S.A.
    Inventors: Nuria Oliver Ramirez, Qiankun Zhao
  • Predicting community members based on evolution of heterogeneous networks using a best community classifier and a multi-class community classifier
    Patent number: 7624081
    Abstract: A community mining system analyzes objects of different types and relationships between the objects of different types to identify communities. The relationships between the objects have an associated time. The community mining system extracts various features related to objects of a designated type from the relationships between objects of different types that represent the evolution of the features over time. The community mining system collects training data that indicates extracted features associated with members of the communities. The community mining system then classifies an object of the designated type as being within the community based on closeness of the features of the object to the features of the training data.
    Type: Grant
    Filed: March 28, 2006
    Date of Patent: November 24, 2009
    Assignee: Microsoft Corporation
    Inventors: Qiankun Zhao, Tie-Yan Liu, Wei-Ying Ma
  • Predicting community members based on evolution of heterogeneous networks
    Publication number: 20070239677
    Abstract: A community mining system analyzes objects of different types and relationships between the objects of different types to identify communities. The relationships between the objects have an associated time. The community mining system extracts various features related to objects of a designated type from the relationships between objects of different types that represent the evolution of the features over time. The community mining system collects training data that indicates extracted features associated with members of the communities. The community mining system then classifies an object of the designated type as being within the community based on closeness of the features of the object to the features of the training data.
    Type: Application
    Filed: March 28, 2006
    Publication date: October 11, 2007
    Applicant: Microsoft Corporation
    Inventors: Qiankun Zhao, Tie-Yan Liu, Wei-Ying Ma