Patents by Inventor Xiaotian LIU

Xiaotian 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).

  • Publication number: 20240176958
    Abstract: A pre-trained natural language processing machine learning model is received. The pre-trained natural language processing machine learning model is tuned. A workflow to be implemented by a chatbot to complete a task-oriented dialog is received. A representation of one or more plan steps based on a current progression state of the workflow is dynamically determined. At least the representation of the one or more plan steps is provided as an input to the pre-trained natural language processing machine learning model to guide the pre-trained natural language processing machine learning model. An output action and/or an utterance for the task-oriented dialog is received from the pre-trained natural language processing machine learning model.
    Type: Application
    Filed: November 30, 2022
    Publication date: May 30, 2024
    Inventors: Stefania Evelina Raimondo, Christopher Joseph Pal, Hector Luis Palacios Verdes, David María Vázquez Bermúdez, Xiaotian Liu
  • Patent number: 11481380
    Abstract: Scanning and rescanning detect state inconsistencies between data entities in repositories or other components of a distributed computing environment. First, entities are scanned based on a cutoff time TO. Entities for which state comparison is undesired are placed in a skipped entity list. Any inconsistencies found in other entities is reported. Then subsequent rescanning fetches state and attempts to pare down the skipped entity list. Rescanning may be capped. Inconsistencies may be detected without requiring downtime from services that update data entity state, and false reports of inconsistency may be avoided.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: October 25, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Xiaotian Liu, Wei Xiao, Sheng Liang, Chunfeng Chen, Zhan Li, Fan Zhang
  • Publication number: 20190384758
    Abstract: Scanning and rescanning detect state inconsistencies between data entities in repositories or other components of a distributed computing environment. First, entities are scanned based on a cutoff time TO. Entities for which state comparison is undesired are placed in a skipped entity list. Any inconsistencies found in other entities is reported. Then subsequent rescanning fetches state and attempts to pare down the skipped entity list. Rescanning may be capped. Inconsistencies may be detected without requiring downtime from services that update data entity state, and false reports of inconsistency may be avoided.
    Type: Application
    Filed: March 31, 2017
    Publication date: December 19, 2019
    Inventors: Xiaotian LIU, Wei XIAO, Sheng LIANG, Chunfeng CHEN, Zhan LI, Fan ZHANG
  • Patent number: 7391381
    Abstract: The present invention relates to a vehicle mountable satellite antenna as defined in the claims which is operable while the vehicle is in motion. The satellite antenna of the present invention can be installed on top of (or embedded into) the roof of a vehicle. The antenna is capable of providing high gain and a narrow antenna beam for aiming at a satellite direction and enabling broadband communication to vehicle. The present invention provides a vehicle mounted satellite antenna which has low axial ratio, high efficiency and has low grating lobes gain. The vehicle mounted satellite antenna of the present invention provides two simultaneous polarization states. In one embodiment, a hybrid mechanic and electronic steering approach provides a more reasonable cost and performance trade-off. The antenna aiming in the elevation direction is achieved via control of an electronic beamforming network.
    Type: Grant
    Filed: January 7, 2004
    Date of Patent: June 24, 2008
    Assignee: Motia
    Inventors: James June-Ming Wang, Chau Chin Yang, Franklin Xiaotian Liu, Youren Chen, Wenzhang Wang