Patents by Inventor HengJun TIAN

HengJun TIAN 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: 11620180
    Abstract: A computer-implemented method for determining whether data is anomalous includes generating a holo-entropy adaptive boosting model using, at least in part, a set of normal data. The holo-entropy adaptive boosting model includes a plurality of holo-entropy models and associated model weights for combining outputs of the plurality of holo-entropy models. The method further includes receiving additional data, and determining at least one of whether the additional data is normal or abnormal relative to the set of normal data or a score indicative of how abnormal the additional data is using, at least in part, the generated holo-entropy adaptive boosting model.
    Type: Grant
    Filed: November 29, 2018
    Date of Patent: April 4, 2023
    Assignee: VMWARE, INC.
    Inventors: Zhen Mo, Bin Zan, Vijay Ganti, Vamsi Akkineni, HengJun Tian
  • Publication number: 20200174867
    Abstract: A computer-implemented method for determining whether data is anomalous includes generating a holo-entropy adaptive boosting model using, at least in part, a set of normal data. The holo-entropy adaptive boosting model includes a plurality of holo-entropy models and associated model weights for combining outputs of the plurality of holo-entropy models. The method further includes receiving additional data, and determining at least one of whether the additional data is normal or abnormal relative to the set of normal data or a score indicative of how abnormal the additional data is using, at least in part, the generated holo-entropy adaptive boosting model.
    Type: Application
    Filed: November 29, 2018
    Publication date: June 4, 2020
    Inventors: Zhen MO, Bin ZAN, Vijay GANTI, Vamsi AKKINENI, HengJun TIAN