Patents by Inventor Guo Ran Sun

Guo Ran Sun 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).

  • Machine logic for performing anomaly detection
    Patent number: 11748231
    Abstract: Technology for computerized anomaly detection, where the machine logic (for example, software) utilizes a multi-layer anomaly detection method that may include three (3) layers: (a) a baseline model for each feature at a single point, (b) a dynamic time window for historical data, and/or (c) correlation analysis for different model features.
    Type: Grant
    Filed: June 15, 2021
    Date of Patent: September 5, 2023
    Assignee: International Business Machines Corporation
    Inventors: Wei Liu, Guo Ran Sun, Xiao Jing Wang, Dong Ying Jiao
  • Automatic anomaly detection
    Patent number: 11743133
    Abstract: A method includes generating a plurality of vectors representing words in a plurality of documents about an information technology (IT) system and clustering the plurality of vectors to produce a plurality of clusters. The method also includes identifying a cluster of the plurality of clusters that contains a plurality of clustered vectors, generating a feature based on a plurality of words represented by the plurality of clustered vectors, and training a machine learning model to identify an anomaly in the IT system based on the feature.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: August 29, 2023
    Assignee: International Business Machines Corporation
    Inventors: Ke Wei Wei, Wei Liu, Guo Ran Sun, Shuang YS Yu, Meichi Maggie Lin, Yi Dai
  • AUTOMATIC ANOMALY DETECTION
    Publication number: 20230078661
    Abstract: A method includes generating a plurality of vectors representing words in a plurality of documents about an information technology (IT) system and clustering the plurality of vectors to produce a plurality of clusters. The method also includes identifying a cluster of the plurality of clusters that contains a plurality of clustered vectors, generating a feature based on a plurality of words represented by the plurality of clustered vectors, and training a machine learning model to identify an anomaly in the IT system based on the feature.
    Type: Application
    Filed: September 14, 2021
    Publication date: March 16, 2023
    Inventors: Ke Wei WEI, Wei LIU, Guo Ran SUN, Shuang YS YU, Meichi Maggie LIN, Yi DAI
  • MACHINE LOGIC FOR PERFORMING ANOMALY DETECTION
    Publication number: 20220398182
    Abstract: Technology for computerized anomaly detection, where the machine logic (for example, software) utilizes a multi-layer anomaly detection method that may include three (3) layers: (a) a baseline model for each feature at a single point, (b) a dynamic time window for historical data, and/or (c) correlation analysis for different model features.
    Type: Application
    Filed: June 15, 2021
    Publication date: December 15, 2022
    Inventors: Wei Liu, Guo Ran Sun, XIAO JING WANG, Dong Ying Jiao