Patents by Inventor Weidan Zhou

Weidan Zhou 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).

  • DETERMINING DATA CATEGORIZATIONS BASED ON AN ONTOLOGY AND A MACHINE-LEARNING MODEL
    Publication number: 20230081737
    Abstract: Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.
    Type: Application
    Filed: November 15, 2022
    Publication date: March 16, 2023
    Inventors: Kai-Wen Chen, Brian Donohue, Xuemei Pan, Nirmal Kumar Raajan, Bethany Sehon, Naresh Singh, Xiaofei Wang, Albert T. Zellers, Weidan Zhou
  • Determining data categorizations based on an ontology and a machine-learning model
    Patent number: 11531703
    Abstract: Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: December 20, 2022
    Assignee: Capital One Services, LLC
    Inventors: Kai-Wen Chen, Brian Donohue, Xuemei Pan, Nirmal Kumar Raajan, Bethany Sehon, Naresh Singh, Xiaofei Wang, Albert T. Zellers, Weidan Zhou
  • DETERMINING DATA CATEGORIZATIONS BASED ON AN ONTOLOGY AND A MACHINE-LEARNING MODEL
    Publication number: 20200410000
    Abstract: Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.
    Type: Application
    Filed: June 26, 2020
    Publication date: December 31, 2020
    Inventors: Kai-Wen Chen, Brian Donohue, Xuemei Pan, Nirmal Kumar Raajan, Bethany Sehon, Naresh Singh, Xiaofei Wang, Albert T. Zellers, Weidan Zhou