Patents by Inventor Wuwei Lan

Wuwei Lan 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: 12675474
    Abstract: Systems and methods are provided for natural language query processing and data visualization generation. The system can analyze the natural language query for semantic attributes and compare the semantic attributes against the semantic data of a set of data visualizations to generate context for the natural language query in the form of a personalized set of semantic data. Based on the semantic attributes and the semantic data, the system can select a set of exemplars that best match the natural language query and using the exemplars, and a library specification, generate library specification programming code for generating a structured query to resolve the natural language query. Based on the results of the structured query, the system can generate a data visualization as a response to the natural language query.
    Type: Grant
    Filed: November 27, 2024
    Date of Patent: July 7, 2026
    Assignee: Amazon Technologies, Inc.
    Inventors: Anuj Chauhan, Wuwei Lan, Rishav Chakravarti, Patrick Ng, Jerry Lin, Stephen Michael Ash, William Michael Siler, Chris Elliott
  • Patent number: 12265528
    Abstract: Techniques for handling natural language query processing are described. In some examples, a sequence-to-sequence model is used to handle a natural language query. Post-processing of a result of the sequence-to-sequence model utilizes fine-grained information from an entity linker. In some examples, the sequence-to-sequence model and aspects of a natural language query pipeline are used to handle a natural language query.
    Type: Grant
    Filed: March 21, 2023
    Date of Patent: April 1, 2025
    Assignee: Amazon Technologies, Inc.
    Inventors: Wuwei Lan, Patrick Ng, Zhiguo Wang, Ramesh M. Nallapati, Henghui Zhu, Anuj Chauhan, Sudipta Sengupta, Stephen Michael Ash, Bing Xiang, Gregory David Adams