Patents by Inventor Gaoyu WANG

Gaoyu 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).

  • Patent number: 11121045
    Abstract: The present invention provides a method for detecting an ultra-small defect on a wafer surface, film layer having ultra-small defect that causes abnormalities on the surface of the film layer; form a photoresist pattern with a pattern defect; etching the film layer according to the photoresist pattern to form a film layer pattern with an enlarged defect; and scanning the film layer pattern by using a defect scanner to capture the enlarged defect. In this method, enlarging the size of the ultra-fine particle defect through the exposure defocusing principle; or by adding the photomask consisting of the repeating units, using the repetition pattern as the exposure pattern and combing with the repeating cell to cell comparison method, the capture ability of the detection machine is further improved. Therefore, it can be detected by amplifying the defects of ultrafine particles which cannot be detected by conventional methods.
    Type: Grant
    Filed: November 21, 2019
    Date of Patent: September 14, 2021
    Assignee: Shanghai Huali Microelectronics Corporation
    Inventors: Xianghua Hu, Gaoyu Wang, Guangzhi He, Xiaofang Gu, Qiliang Ni
  • Patent number: 11052316
    Abstract: A method for generating an image parameter for a reproducible virtual character includes: receiving a trigger signal for generating a virtual character; acquiring a generation rule of an image parameter of the virtual character, the image parameter comprising n characteristic parameters configured to indicate an image of the virtual character; and generating a gene sequence of an ith characteristic parameter in the n characteristic parameters according to the generation rule.
    Type: Grant
    Filed: March 13, 2020
    Date of Patent: July 6, 2021
    Assignee: BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.
    Inventors: Gaoyu Wang, Maohua Zhou, Hong Zhu, Lei Xiong, Di Pan, Chan Liu
  • Publication number: 20210057289
    Abstract: The present invention provides a method for detecting an ultra-small defect on a wafer surface, film layer having ultra-small defect that causes abnormalities on the surface of the film layer; form a photoresist pattern with a pattern defect; etching the film layer according to the photoresist pattern to form a film layer pattern with an enlarged defect; and scanning the film layer pattern by using a defect scanner to capture the enlarged defect. In this method, enlarging the size of the ultra-fine particle defect through the exposure defocusing principle; or by adding the photomask consisting of the repeating units, using the repetition pattern as the exposure pattern and combing with the repeating cell to cell comparison method, the capture ability of the detection machine is further improved. Therefore, it can be detected by amplifying the defects of ultrafine particles which cannot be detected by conventional methods.
    Type: Application
    Filed: November 21, 2019
    Publication date: February 25, 2021
    Applicant: Shanghai Huali Microelectronics Corporation
    Inventors: Xianghua Hu, Gaoyu Wang, Guangzhi He, Xiaofang Gu, Qiliang Ni
  • Publication number: 20200298120
    Abstract: A method for generating an image parameter for a reproducible virtual character includes: receiving a trigger signal for generating a virtual character; acquiring a generation rule of an image parameter of the virtual character, the image parameter comprising n characteristic parameters configured to indicate an image of the virtual character; and generating a gene sequence of an ith characteristic parameter in the n characteristic parameters according to the generation rule.
    Type: Application
    Filed: March 13, 2020
    Publication date: September 24, 2020
    Applicant: BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.
    Inventors: Gaoyu WANG, Maohua ZHOU, Hong ZHU, Lei XIONG, Di PAN, Chan LIU