Patents by Inventor Zihan Gao

Zihan Gao 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: 11748919
    Abstract: A method of image reconstruction for a cross-modal communication system is disclosed. The method reconstructs a damaged, lost, or delayed image signal during transmission by using complete haptic signals received by a receiving end in the cross-modal communication system, and further constructs a cross-modal interaction network with reference to an attention mechanism, thus solving the limitation of the conventional generation model that it can only be trained on paired samples. An image reconstruction device for a cross-modal communication system is also disclosed. By fully utilizing semantic correlation between different-modality data and realizing cross-modal generation from haptic signals to image signals for unpaired data, the present invention overcomes the difficulty in acquiring haptic-image signal pairs in the practical cross-modal communication system, and significantly improves the quality and class accuracy of generated image signals.
    Type: Grant
    Filed: July 1, 2022
    Date of Patent: September 5, 2023
    Assignee: NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
    Inventors: Liang Zhou, Xin Wei, Meng Zhang, Jianxin Chen, Zihan Gao
  • Publication number: 20230196633
    Abstract: A method of image reconstruction for a cross-modal communication system is disclosed. The method reconstructs a damaged, lost, or delayed image signal during transmission by using complete haptic signals received by a receiving end in the cross-modal communication system, and further constructs a cross-modal interaction network with reference to an attention mechanism, thus solving the limitation of the conventional generation model that it can only be trained on paired samples. An image reconstruction device for a cross-modal communication system is also disclosed. By fully utilizing semantic correlation between different-modality data and realizing cross-modal generation from haptic signals to image signals for unpaired data, the present invention overcomes the difficulty in acquiring haptic-image signal pairs in the practical cross-modal communication system, and significantly improves the quality and class accuracy of generated image signals.
    Type: Application
    Filed: July 1, 2022
    Publication date: June 22, 2023
    Inventors: Liang ZHOU, Xin Wei, Meng Zhang, Jianxin Chen, Zihan Gao
  • Publication number: 20200333403
    Abstract: Circuits and methods for testing power electronics devices. In some examples, a reconfigurable load tester includes a power conversion circuit configured to couple to a device under test (DUT). The power conversion circuit includes a number of arms, and each arm includes submodules. Each submodule includes one or more electronically-controlled switches. The reconfigurable load tester includes a controller configured for controlling the electronically-controlled switches of the submodules. The controller is configured for emulating, by controlling the electronically-controlled switches of the submodules, a plurality of electrical load levels/types on the DUT.
    Type: Application
    Filed: January 15, 2020
    Publication date: October 22, 2020
    Inventors: Fei Wang, Zihan Gao, Robert B. Martin, Jiahao Niu, Jingxin Wang, Li Zhang, Shiqi Ji
  • Patent number: D1017469
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: March 12, 2024
    Assignee: GREAT WALL MOTOR COMPANY LIMITED
    Inventors: Weilong Wang, Kuan Kang, Ming Li, Chunquan Gao, Zihan Zhao, Yunlong Cao, Hongju Gao, Baowang Li, Qiang Guo, Fa Lu