Patents by Inventor Yirui Hu

Yirui Hu 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).

  • Future network condition predictor for network time series data utilizing a hidden Markov model for non-anomalous data and a gaussian mixture model for anomalous data
    Patent number: 10911318
    Abstract: System and method embodiments are provided for adaptive anomaly detection based predictor for network data. In an embodiment, a computer-implemented method in a network component for predicting values of future network time series data includes receiving, with one or more receivers, network time series data; determining, with one or more processors, whether an anomaly is detected in the network time series data; generating, with the one or more processors, a prediction associated with the network data according to a primary predictor when no anomaly is detected in the network time series data; generating, with the one or more processors, the prediction associated with the network data according to an alternative predictor when an anomaly in the network time series data is detected; and sending, with one or more transmitters, the prediction to a network controller, wherein the network controller uses the prediction to adjust network parameters.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: February 2, 2021
    Assignee: Futurewei Technologies, Inc.
    Inventors: Nandu Gopalakrishnan, Yirui Hu
  • Anomaly detection apparatus, method, and computer program using a probabilistic latent semantic analysis
    Patent number: 10255554
    Abstract: An anomaly detection apparatus, method, and computer program product are provided using a probabilistic latent semantic analysis (PLSA). In use, data is received, and a PLSA is performed, based on the data. Further, one or more anomalies are detected in the data, based on the PLSA. Still yet, information identifying the one or more anomalies is stored and/or displayed.
    Type: Grant
    Filed: July 28, 2015
    Date of Patent: April 9, 2019
    Assignee: Futurewei Technologies, Inc.
    Inventors: Nandu Gopalakrishnan, Yirui Hu
  • System and method for anomaly root cause analysis
    Patent number: 10193780
    Abstract: A method includes receiving an anomaly data point and comparing the anomaly data point to a magnitude bounding box to produce a first comparison. The method also includes comparing the anomaly data point to a principal component analysis (PCA) bounding box to produce a second comparison and classifying the anomaly data point in accordance with the first comparison and the second comparison to produce a classification.
    Type: Grant
    Filed: October 9, 2015
    Date of Patent: January 29, 2019
    Assignee: Futurewei Technologies, Inc.
    Inventors: Nandu Gopalakrishnan, Yirui Hu
  • System and Method for Anomaly Root Cause Analysis
    Publication number: 20170104657
    Abstract: A method includes receiving an anomaly data point and comparing the anomaly data point to a magnitude bounding box to produce a first comparison. The method also includes comparing the anomaly data point to a principal component analysis (PCA) bounding box to produce a second comparison and classifying the anomaly data point in accordance with the first comparison and the second comparison to produce a classification.
    Type: Application
    Filed: October 9, 2015
    Publication date: April 13, 2017
    Inventors: Nandu Gopalakrishnan, Yirui Hu
  • ANOMALY DETECTION APPARATUS, METHOD, AND COMPUTER PROGRAM USING A PROBABILISTIC LATENT SEMANTIC ANALYSIS
    Publication number: 20170032266
    Abstract: An anomaly detection apparatus, method, and computer program product are provided using a probabilistic latent semantic analysis (PLSA). In use, data is received, and a PLSA is performed, based on the data. Further, one or more anomalies are detected in the data, based on the PLSA. Still yet, information identifying the one or more anomalies is stored and/or displayed.
    Type: Application
    Filed: July 28, 2015
    Publication date: February 2, 2017
    Applicant: Futurewei Technologies, Inc.
    Inventors: Nandu Gopalakrishnan, Yirui Hu
  • Adaptive, Anomaly Detection Based Predictor for Network Time Series Data
    Publication number: 20160285700
    Abstract: System and method embodiments are provided for adaptive anomaly detection based predictor for network data. In an embodiment, a computer-implemented method in a network component for predicting values of future network time series data includes receiving, with one or more receivers, network time series data; determining, with one or more processors, whether an anomaly is detected in the network time series data; generating, with the one or more processors, a prediction associated with the network data according to a primary predictor when no anomaly is detected in the network time series data; generating, with the one or more processors, the prediction associated with the network data according to an alternative predictor when an anomaly in the network time series data is detected; and sending, with one or more transmitters, the prediction to a network controller, wherein the network controller uses the prediction to adjust network parameters.
    Type: Application
    Filed: March 22, 2016
    Publication date: September 29, 2016
    Inventors: Nandu Gopalakrishnan, Yirui Hu