Patents by Inventor Zhun Cai

Zhun Cai 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: 11830064
    Abstract: A method and system for credit risk identification. The disclosed embodiments include receiving a loan request to a credit business system from a user; in response to the loan request, obtaining operation data by the user on the credit business system within a period of time before the loan request; performing risk identification on the user using a neuronal network according to the loan request and the operation data to generate a result, and determining a response to the loan request based on the result of the risk identification.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: November 28, 2023
    Assignee: Beijing Trusfort Technology Co., Ltd.
    Inventors: Hao Guo, Wengang Wang, Zhun Cai, Yue Sun, Xiaopeng Guo
  • Publication number: 20220207604
    Abstract: A method and system for credit risk identification. The disclosed embodiments include receiving a loan request to a credit business system from a user; in response to the loan request, obtaining operation data by the user on the credit business system within a period of time before the loan request; performing risk identification on the user using a neuronal network according to the loan request and the operation data to generate a result, and determining a response to the loan request based on the result of the risk identification.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 30, 2022
    Applicant: Beijing Trusfort Technology Co., Ltd.
    Inventors: Hao GUO, Wengang WANG, Zhun CAI, Yue SUN, Xiaopeng GUO
  • Patent number: 10572885
    Abstract: Training method and apparatus for loan fraud detection model and a computer device are provided, wherein the training method for loan fraud detection model includes: acquiring identity information and user's bank statement information of a plurality of sample users, and fraud label information corresponding to each user; constructing an identity feature vector and a behavior pattern vector according to the identity information; constructing a statement feature vector according to the behavior pattern vector, a second vector transformation matrix and the user's bank statement information; generating a target feature vector according to the behavior pattern vector and the statement feature vector; feeding a target neural network with the target feature vector to acquire a fraud detection result of the target feature vector; and training the target neural network, the first vector transformation matrix and the second vector transformation matrix to obtain a loan fraud detection model.
    Type: Grant
    Filed: April 3, 2019
    Date of Patent: February 25, 2020
    Assignee: BEIJING TRUSFORT TECHNOLOGY CO., LTD.
    Inventors: Hao Guo, Shanping Sun, Yumeng Chen, Zhun Cai, Yue Sun, Xiaopeng Guo