Patents by Inventor Yuetong Wang

Yuetong Wang 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).

  • Online user behavior analysis service backed by deep learning models trained on shared digital information
    Patent number: 11539716
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for online fraud protection. One of the methods includes receiving a query associated with a user account of an online service provider; providing the query to a deep neural network model to generate a prediction of whether the user account is fraudulent, wherein the deep neural network model is trained using anonymized event data for a collection of users received from one or more online service providers; and providing the prediction to the online service provider.
    Type: Grant
    Filed: July 30, 2019
    Date of Patent: December 27, 2022
    Assignee: DataVisor, Inc.
    Inventors: Cong A. Meng, Yuetong Wang, Yang Xu, Buodo Li, Ting-Fang Yen, Fang Yu, Yinglian Xie
  • USES OF NAD+ AND/OR NAD+ INHIBITORS AND/OR NAD+ AGONISTS AND COMBINATION PREPARATION THEREOF
    Publication number: 20220401465
    Abstract: Disclosed are uses of NAD+ and/or NAD+ agonists and/or NAD+ inhibitors for preparing a preparation or a kit, and a combination preparation including T cells and NAD+ and/or NAD+ agonists and/or NAD+ inhibitors. The preparation or kit is used for regulating T cell activity, regulating the expression level of CD69 on the surface of T cells, and/or regulating the phosphorylation level in T cells, and/or treating diseases related to T cell activity.
    Type: Application
    Filed: June 4, 2019
    Publication date: December 22, 2022
    Applicant: ShanghaiTech University
    Inventors: Gaofeng FAN, Haopeng WANG, Yuetong WANG, Fei WANG
  • ONLINE USER BEHAVIOR ANALYSIS SERVICE BACKED BY DEEP LEARNING MODELS TRAINED ON SHARED DIGITAL INFORMATION
    Publication number: 20200045066
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for online fraud protection. One of the methods includes receiving a query associated with a user account of an online service provider; providing the query to a deep neural network model to generate a prediction of whether the user account is fraudulent, wherein the deep neural network model is trained using anonymized event data for a collection of users received from one or more online service providers; and providing the prediction to the online service provider.
    Type: Application
    Filed: July 30, 2019
    Publication date: February 6, 2020
    Inventors: Cong A. Meng, Yuetong Wang, Yang Xu, Buodo Li, Ting-Fang Yen, Fang Yu, Yinglian Xie