Patents by Inventor Xunchao Hu

Xunchao 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).

  • Patent number: 11080236
    Abstract: A novel high-throughput embedding generation and comparison system for executable code is presented in this invention. More specifically, the invention relates to a deep-neural-network based graph embedding generation and comparison system. A novel bi-directional code graph embedding generation has been proposed to enrich the information extracted from code graph. Furthermore, by deploying matrix manipulation, the throughput of the system has significantly increased for embedding generation. Potential applications such as executable file similarity calculation, vulnerability search are also presented in this invention.
    Type: Grant
    Filed: March 11, 2021
    Date of Patent: August 3, 2021
    Assignees: DEEPBITS TECHNOLOGY INC., THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Heng Yin, Xunchao Hu, Sheng Yu, Yu Zheng
  • Publication number: 20210216500
    Abstract: A novel high-throughput embedding generation and comparison system for executable code is presented in this invention. More specifically, the invention relates to a deep-neural-network based graph embedding generation and comparison system. A novel bi-directional code graph embedding generation has been proposed to enrich the information extracted from code graph. Furthermore, by deploying matrix manipulation, the throughput of the system has significantly increased for embedding generation. Potential applications such as executable file similarity calculation, vulnerability search are also presented in this invention.
    Type: Application
    Filed: March 11, 2021
    Publication date: July 15, 2021
    Applicants: DEEPBITS TECHNOLOGY INC., THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Heng YIN, Xunchao HU, Sheng YU, Yu ZHENG
  • Publication number: 20210056076
    Abstract: A novel high-throughput embedding generation and comparison system for executable code is presented in this invention. More specifically, the invention relates to a deep-neural-network based graph embedding generation and comparison system. A novel bi-directional code graph embedding generation has been proposed to enrich the information extracted from code graph. Furthermore, by deploying matrix manipulation, the throughput of the system has significantly increased for embedding generation. Potential applications such as executable file similarity calculation, vulnerability search are also presented in this invention.
    Type: Application
    Filed: May 12, 2020
    Publication date: February 25, 2021
    Inventors: Heng Yin, Xunchao Hu, Sheng Yu, Yu Zheng