Patents by Inventor Chuxu Zhang

Chuxu Zhang 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).

  • Unsupervised anomaly detection, diagnosis, and correction in multivariate time series data
    Patent number: 11169514
    Abstract: Methods and systems for anomaly detection and correction include generating original signature matrices that represent a state of a system of multiple time series. The original signature matrices are encoded using convolutional neural networks. Temporal patterns in the encoded signature matrices are modeled using convolutional long-short term memory neural networks for each respective convolutional neural network. The modeled signature matrices using deconvolutional neural networks. An occurrence of an anomaly is determined using a loss function based on a difference between the decoded signature matrices and the original signature matrices. A corrective action is performed responsive to the determination of the occurrence of the anomaly.
    Type: Grant
    Filed: August 23, 2019
    Date of Patent: November 9, 2021
    Inventors: Dongjin Song, Yuncong Chen, Cristian Lumezanu, Haifeng Chen, Chuxu Zhang
  • UNSUPERVISED ANOMALY DETECTION, DIAGNOSIS, AND CORRECTION IN MULTIVARIATE TIME SERIES DATA
    Publication number: 20200064822
    Abstract: Methods and systems for anomaly detection and correction include generating original signature matrices that represent a state of a system of multiple time series. The original signature matrices are encoded using convolutional neural networks. Temporal patterns in the encoded signature matrices are modeled using convolutional long-short term memory neural networks for each respective convolutional neural network. The modeled signature matrices using deconvolutional neural networks. An occurrence of an anomaly is determined using a loss function based on a difference between the decoded signature matrices and the original signature matrices. A corrective action is performed responsive to the determination of the occurrence of the anomaly.
    Type: Application
    Filed: August 23, 2019
    Publication date: February 27, 2020
    Inventors: Dongjin Song, Yuncong Chen, Cristian Lumezanu, Haifeng Chen, Chuxu Zhang