Patents by Inventor Jiayang Liu

Jiayang Liu 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: 11562873
    Abstract: A magnetron is provided and includes a tube body with a plurality of communicated first cavities therein, a plurality of anodes in the first cavities including a cylinder and a plurality of vanes, outer ends of the vanes are connected with an inner circumferential surface of the cylinder; a first resonant cavity and a second resonant cavity are formed between the adjacent vanes, the cylinder is provided with a plurality of coupling slots arranged at intervals and running through the cylinder to communicate the first resonant cavity with the first cavity; a plurality of cathode arranged in and coaxially with the cylinder; the cathodes and inner ends of the vanes are spaced apart; at least part of the cathodes are located inside vanes, and an output slot is defined on the tube body for communicating the first cavity with an outside.
    Type: Grant
    Filed: July 9, 2021
    Date of Patent: January 24, 2023
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Jiaru Shi, Hao Zha, Jiayang Liu, Huaibi Chen, Chuanxiang Tang
  • Patent number: 11335328
    Abstract: Methods are provided for generating training triplets that can be used to train multidimensional embeddings to represent the semantic content of non-speech sounds present in a corpus of audio recordings. These training triplets can be used with a triplet loss function to train the multidimensional embeddings such that the embeddings can be used to cluster the contents of a corpus of audio recordings, to facilitate a query-by-example lookup from the corpus, to allow a small number of manually-labeled audio recordings to be generalized, or to facilitate some other audio classification task. The triplet sampling methods may be used individually or collectively, and each represent a respective heuristic about the semantic structure of audio recordings.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: May 17, 2022
    Assignee: Google LLC
    Inventors: Aren Jansen, Manoj Plakal, Richard Channing Moore, Shawn Hershey, Ratheet Pandya, Ryan Rifkin, Jiayang Liu, Daniel Ellis
  • Publication number: 20220020553
    Abstract: A magnetron is provided and includes a tube body with a plurality of communicated first cavities therein, a plurality of anodes in the first cavities including a cylinder and a plurality of vanes, outer ends of the vanes are connected with an inner circumferential surface of the cylinder; a first resonant cavity and a second resonant cavity are formed between the adjacent vanes, the cylinder is provided with a plurality of coupling slots arranged at intervals and running through the cylinder to communicate the first resonant cavity with the first cavity; a plurality of cathode arranged in and coaxially with the cylinder; the cathodes and inner ends of the vanes are spaced apart; at least part of the cathodes are located inside vanes, and an output slot is defined on the tube body for communicating the first cavity with an outside.
    Type: Application
    Filed: July 9, 2021
    Publication date: January 20, 2022
    Inventors: Jiaru SHI, Hao ZHA, Jiayang LIU, Huaibi CHEN, Chuanxiang TANG
  • Publication number: 20200349921
    Abstract: Methods are provided for generating training triplets that can be used to train multidimensional embeddings to represent the semantic content of non-speech sounds present in a corpus of audio recordings. These training triplets can be used with a triplet loss function to train the multidimensional embeddings such that the embeddings can be used to cluster the contents of a corpus of audio recordings, to facilitate a query-by-example lookup from the corpus, to allow a small number of manually-labeled audio recordings to be generalized, or to facilitate some other audio classification task. The triplet sampling methods may be used individually or collectively, and each represent a respective heuristic about the semantic structure of audio recordings.
    Type: Application
    Filed: October 26, 2018
    Publication date: November 5, 2020
    Inventors: Aren Jansen, Manoj Plakal, Richard Channing Moore, Shawn Hershey, Ratheet Pandya, Ryan Rifkin, Jiayang Liu, Daniel Ellis