Patents by Inventor Xiaojiang Cheng

Xiaojiang Cheng 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).

  • Method of forming an etched part and a method of forming a metal plated part
    Patent number: 11965045
    Abstract: A method of forming an etched part includes forming a substrate including a thermoset resin and etching a surface of the substrate. The thermoset resin includes a vat photopolymerization (VPP) thermoset resin and at least one of an etchable phase and etchable particles disposed within the VPP thermoset resin. The etching removes the etchable phase from the VPP thermoset resin at the surface of the substrate such that a plurality of micro-mechanical bonding sites are formed on an etched surface of the substrate.
    Type: Grant
    Filed: May 18, 2023
    Date of Patent: April 23, 2024
    Assignee: Ford Global Technologies, LLC
    Inventors: Xiaojiang Wang, Shannon Christine Bollin, Robert D. Bedard, Matthew Cassoli, Ellen Cheng-Chi Lee
  • Methods and systems for near real-time lookalike audience expansion in ads targeting
    Patent number: 10853847
    Abstract: A signature matrix is used to test each online event for inclusion of a user in a pre-generated lookalike audience. Locality Sensitive Hashing is used to compile the signature matrix to dramatically reduce memory storage requirements and processing time for each received online event. A technique of producing incremental signature matrices between generation of the full signature matrix helps to enable near-real time performance in processing each received event to see if a user associated with that event should be added to one of the lookalike audiences pre-generated by advertiser.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: December 1, 2020
    Assignee: Oath Inc.
    Inventors: Haiyan Luo, Datong Chen, Zhen Xia, Shiyong Cheng, Yi Mao, Shu Zhang, Jiayi Wen, Xiaojiang Cheng, Herve Marcellini
  • METHODS AND SYSTEMS FOR NEAR REAL-TIME LOOKALIKE AUDIENCE EXPANSION IN ADS TARGETING
    Publication number: 20170330239
    Abstract: A signature matrix is used to test each online event for inclusion of a user in a pre-generated lookalike audience. Locality Sensitive Hashing is used to compile the signature matrix to dramatically reduce memory storage requirements and processing time for each received online event. A technique of producing incremental signature matrices between generation of the full signature matrix helps to enable near-real time performance in processing each received event to see if a user associated with that event should be added to one of the lookalike audiences pre-generated by advertiser.
    Type: Application
    Filed: May 13, 2016
    Publication date: November 16, 2017
    Applicant: Yahoo Holdings, Inc.
    Inventors: Haiyan Luo, Datong Chen, Zhen Xia, Shiyong Cheng, Yi Mao, Shu Zhang, Jiayi Wen, Xiaojiang Cheng, Herve Marcellini