Patents by Inventor Qikun ZHANG

Qikun ZHANG 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: 11941526
    Abstract: Provided is a method for training spiking neuron network, including: inputting a spiking signal corresponding to a training sample into a spiking neuron network to be trained; and training the spiking neuron network based on a back propagation rule, wherein a forward propagation stage of training includes: adjusting a spiking firing threshold corresponding to a target layer in the spiking neuron network according to confidence corresponding to the target layer. Also provided are a method for processing data based on a spiking neuron network, an electronic device, and a non-transitory computer-readable medium.
    Type: Grant
    Filed: December 28, 2021
    Date of Patent: March 26, 2024
    Assignee: LYNXI TECHNOLOGIES CO., LTD.
    Inventors: Zhenzhi Wu, Qikun Zhang, Yaolong Zhu
  • Patent number: 11900243
    Abstract: A computing core circuit, including: an encoding module, a route sending module, and a control module, wherein the control module is configured to control the encoding module to perform encoding processing on a pulse sequence determined by pulses of at least one neuron in a current computing core to be transmitted, so as to obtain an encoded pulse sequence, and control the route sending module to determine a corresponding route packet according to the encoded pulse sequence, so as to send the route packet. The present disclosure further provides a data processing method, a chip, a board, an electronic device, and a computer-readable storage medium.
    Type: Grant
    Filed: April 22, 2021
    Date of Patent: February 13, 2024
    Assignee: LYNXI TECHNOLOGIES CO., LTD.
    Inventors: Zhenzhi Wu, Yaolong Zhu, Luojun Jin, Wei He, Qikun Zhang
  • Publication number: 20230196102
    Abstract: Provided is a method for training spiking neuron network, including: inputting a spiking signal corresponding to a training sample into a spiking neuron network to be trained; and training the spiking neuron network based on a back propagation rule, wherein a forward propagation stage of training includes: adjusting a spiking firing threshold corresponding to a target layer in the spiking neuron network according to confidence corresponding to the target layer.
    Type: Application
    Filed: December 28, 2021
    Publication date: June 22, 2023
    Inventors: Zhenzhi WU, Qikun ZHANG, Yaolong ZHU
  • Publication number: 20230099117
    Abstract: A computing core circuit, including: an encoding module, a route sending module, and a control module, wherein the control module is configured to control the encoding module to perform encoding processing on a pulse sequence determined by pulses to be transmitted of at least one neuron in a current computing core, so as to obtain an encoded pulse sequence, and control the route sending module to determine a corresponding route packet according to the encoded pulse sequence, so as to send the route packet. The present disclosure further provides a data processing method, a chip, a board, an electronic device, and a computer-readable storage medium.
    Type: Application
    Filed: April 22, 2021
    Publication date: March 30, 2023
    Inventors: Zhenzhi WU, Yaolong ZHU, Luojun JIN, Wei HE, Qikun ZHANG