Patents by Inventor Jiejun Chen

Jiejun Chen 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: 11114078
    Abstract: The present disclosure proposes a keybed device, including: a keybed support; a keybed arranged on the keybed support; a key height limiting column arranged in one-to-one correspondence with each key in the keybed, and an end of the key height limiting column is fixed on a bottom surface of the corresponding key; a pressure detecting device arranged in one-to-one correspondence under each key height limiting column to detect a pressing strength of each key height limiting column; and a flexible support structure arranged below each key height limiting column and located on at least one side of each pressure detection device. The keybed device includes a flexible support structure, which can avoid false triggering of the Aftertouch effect. A same depth is pressed down from the flexible support structure to obtain a consistent Aftertouch effect, and the performance effect is controllable.
    Type: Grant
    Filed: September 22, 2020
    Date of Patent: September 7, 2021
    Assignee: Medeli Electronics (Shanghai) Co., Ltd.
    Inventors: Peng Zhou, Jiejun Chen, Xinghua Ge, Guozong Liu
  • Publication number: 20210211504
    Abstract: An acceleration method for handshake request, includes: receiving a handshake request sent by a client towards a target domain name; feeding back a target credential bound to the target domain name to the client, where the target credential includes a specified public key so as to allow the client to utilize the specified public key to encrypt a session key of a current session; receiving an encrypted session key provided by the client, and sending a decryption request to an acceleration server, where the decryption request includes the encrypted session key so as to allow the acceleration server to decrypt the encrypted session key based on a private key bound to the target domain name; receiving and storing a decrypted session key fed back by the acceleration server, thereby completing a current handshake process.
    Type: Application
    Filed: February 27, 2018
    Publication date: July 8, 2021
    Inventors: Jiejun CHEN, Jianwei DENG
  • Publication number: 20210005174
    Abstract: The present disclosure proposes a keybed device, including: a keybed support; a keybed arranged on the keybed support; a key height limiting column arranged in one-to-one correspondence with each key in the keybed, and an end of the key height limiting column is fixed on a bottom surface of the corresponding key; a pressure detecting device arranged in one-to-one correspondence under each key height limiting column to detect a pressing strength of each key height limiting column; and a flexible support structure arranged below each key height limiting column and located on at least one side of each pressure detection device. The keybed device includes a flexible support structure, which can avoid false triggering of the Aftertouch effect. A same depth is pressed down from the flexible support structure to obtain a consistent Aftertouch effect, and the performance effect is controllable.
    Type: Application
    Filed: September 22, 2020
    Publication date: January 7, 2021
    Applicants: Medeli Electronics (Shanghai) Co., Ltd., MEDELI MUSICAL INSTRUMENT (ZHUHAI) CO., LTD.
    Inventors: Peng ZHOU, Jiejun CHEN, Xinghua GE, Guozong LIU
  • Patent number: 10671288
    Abstract: A hierarchical sparse tensor compression method based on artificial intelligence devices, in DRAM, not only saves the storage space of the neuron surface, but also adds a meta-surface to the mask block. When reading data, the mask is first read, then the size of the non-zero data is calculated, and only these non-zero data are read to save DRAM bandwidth. In the cache, only non-zero data is stored, so the required storage space is reduced. When processing data, only non-zero data is used. The method uses a bit mask to determine if the data is zero. There are three levels in the hierarchical compression scheme: tiles, lines, and points, reading bitmasks and non-zero data from DRAM, and saving bandwidth by not reading zero data. When processing data, if their bit mask is zero, the tile data may be easily removed.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: June 2, 2020
    Assignee: Nanjing Iluvatar CoreX Technology Co., Ltd.
    Inventors: Pingping Shao, Jiejun Chen, Yongliu Wang
  • Publication number: 20200042189
    Abstract: A hierarchical sparse tensor compression method based on artificial intelligence devices, in DRAM, not only saves the storage space of the neuron surface, but also adds a meta-surface to the mask block. When reading data, the mask is first read, then the size of the non-zero data is calculated, and only these non-zero data are read to save DRAM bandwidth. In the cache, only non-zero data is stored, so the required storage space is reduced. When processing data, only non-zero data is used. The method uses a bit mask to determine if the data is zero. There are three levels in the hierarchical compression scheme: tiles, lines, and points, reading bitmasks and non-zero data from DRAM, and saving bandwidth by not reading zero data. When processing data, if their bit mask is zero, the tile data may be easily removed.
    Type: Application
    Filed: December 31, 2018
    Publication date: February 6, 2020
    Applicant: Nanjing Iluvatar CoreX Technology Co., Ltd. (DBA “Iluvatar CoreX Inc. Nanjing”)
    Inventors: Pingping Shao, Jiejun Chen, Yongliu Wang