Patents by Inventor Dongyang Zheng

Dongyang Zheng 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).

  • Publication number: 20240257274
    Abstract: This application discloses a trip sharing method and apparatus, a device, a storage medium, and program product, and relates to the field of computer and the Internet technologies. The method includes displaying, shared information of a first trip created by a first user account in the mini program in a display interface of the social networking application, the first trip being a trip created by a car owner and waiting for participation by a passenger; displaying a trip detail interface of the mini program in a case that the mini program determines, after receiving the trip presentation instruction, that a second user account has permission to participate in the first trip; and displaying a trip confirmation interface in the mini program in response to an operation on the trip participation control, the trip confirmation interface displaying trip information of the participated first trip.
    Type: Application
    Filed: April 9, 2024
    Publication date: August 1, 2024
    Inventors: Peng DIAO, Ke TANG, Shaobo DU, Shipeng LI, Cong ZHANG, Di DENG, Xiaodong GAO, Shufang TAO, Dongyang ZHENG
  • Publication number: 20240111956
    Abstract: Disclosed are a Nested Named Entity Recognition method based on part-of-speech awareness, system, device and storage medium therefor. The method uses a BiLSTM model to extract a feature of text word data in order to obtain a text word depth feature, and each text word of text to be recognized is initialized into a corresponding graph node, and a text heterogeneous graph of the text to be recognized is constructed according to a preset part-of-speech path, the text word data of the graph nodes is updated by an attention mechanism, and the features of all graph nodes of the text heterogeneous graph are extracted using the BiLSTM model, and a nested named entity recognition result is obtained after decoding and annotating. The present disclosure can recognize ordinary entities and nested entities accurately and effectively, and enhance the performance and advantages of the nested named entity recognition model.
    Type: Application
    Filed: November 28, 2023
    Publication date: April 4, 2024
    Inventors: Jing Qiu, Ling Zhou, Chengliang Gao, Rongrong Chen, Ximing Chen, Zhihong Tian, Lihua Yin, Hui Lu, Yanbin Sun, Junjun Chen, Dongyang Zheng, Fei Tang, Jiaxu Xing