Patents by Inventor Yangdi Lu

Yangdi Lu 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: 20250085952
    Abstract: The present disclosure provides a method for facilitating provisioning of software solutions. Further, the method includes obtaining input data. Further, the input data includes natural language input data. Further, the method includes analyzing the input data using each of a prompt model and a large language model. Further, the prompt model is coupled with the large language model. Further, the large language model is trained on a training data. Further, the prompt model interprets input data for generating requirements of the users. Further, the large language model processes the requirements for designing the software solutions. Further, the method includes generating software solution information for the provisioning of software solutions based on the analyzing of the input data. Further, the method includes transmitting the software solution information to devices. Further, the method includes storing the software solution information and each of the prompt model and the large language model.
    Type: Application
    Filed: September 9, 2024
    Publication date: March 13, 2025
    Inventors: David Dong Lin, Yangdi Lu, Yunfan Ma
  • Patent number: 11106708
    Abstract: System and method of partitioning a plurality of data objects that are each represented by a respective high dimensional feature vector is described, including performing a hashing function on each high dimensional feature vector to generate a respective lower dimensional binary compact feature vector for the data object that is represented by the high dimensional feature vector; performing a further hashing function on each compact feature vector to assign a sub-index ID to the compact feature vector; and partitioning the compact feature vectors into respective partition groups that correspond to the sub-index IDs assigned to the compact feature vectors.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: August 31, 2021
    Assignee: HUAWEI TECHNOLOGIES CANADA CO., LTD.
    Inventors: Yangdi Lu, Wenbo He, Amirhosein Nabatchian
  • Patent number: 10949467
    Abstract: System and method of generating an index structure for indexing a plurality of unstructured data objects, including: generating a set of compact feature vectors, the set including a compact feature vector for each of the data objects, the compact feature vector for each data object including a sequence of hashed values that represent the data object; generating a plurality of twisted compact feature vector sets for each of set of compact feature vectors, each of the twisted compact feature vector sets being generated by applying a respective random shuffling permutation to the set of compact feature vectors; and for each twisted compact feature vector set, generating an index for the data objects in which the data objects are slotted based on sequences of hashed values in the twisted compact feature vector set.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: March 16, 2021
    Assignee: Huawei Technologies Canada Co., Ltd.
    Inventors: Yangdi Lu, Wenbo He, Amirhosein Nabatchian
  • Publication number: 20190272341
    Abstract: System and method of partitioning a plurality of data objects that are each represented by a respective high dimensional feature vector is described, including performing a hashing function on each high dimensional feature vector to generate a respective lower dimensional binary compact feature vector for the data object that is represented by the high dimensional feature vector; performing a further hashing function on each compact feature vector to assign a sub-index ID to the compact feature vector; and partitioning the compact feature vectors into respective partition groups that correspond to the sub-index IDs assigned to the compact feature vectors.
    Type: Application
    Filed: July 24, 2018
    Publication date: September 5, 2019
    Inventors: Yangdi Lu, Wenbo He, Amirhosein Nabatchian
  • Publication number: 20190272344
    Abstract: System and method of generating an index structure for indexing a plurality of unstructured data objects, including: generating a set of compact feature vectors, the set including a compact feature vector for each of the data objects, the compact feature vector for each data object including a sequence of hashed values that represent the data object; generating a plurality of twisted compact feature vector sets for each of set of compact feature vectors, each of the twisted compact feature vector sets being generated by applying a respective random shuffling permutation to the set of compact feature vectors; and for each twisted compact feature vector set, generating an index for the data objects in which the data objects are slotted based on sequences of hashed values in the twisted compact feature vector set.
    Type: Application
    Filed: July 24, 2018
    Publication date: September 5, 2019
    Inventors: Yangdi Lu, Wenbo He, Amirhosein Nabatchian