Patents by Inventor Jiangyun Song

Jiangyun Song 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: 20240147513
    Abstract: Provided are a frequency band scheduling method, a communication node, and a computer-readable storage medium. The method includes that: a reference frequency band and at least one detection frequency band are acquired, where the reference frequency band is a frequency band in which a first system does not interfere with a second system, and the at least one detection frequency band is a frequency band in which the first system and the second system interfere with each other; frequency band configuration information is sent to a terminal device, where the frequency band configuration information includes configuration information of the reference frequency band and configuration information of all detection frequency bands; frequency band measurement information that the terminal device sends according to the frequency band configuration information is received.
    Type: Application
    Filed: January 28, 2022
    Publication date: May 2, 2024
    Inventors: Zhikang SONG, Jiangyun ZHOU, Meiying WANG, Lu LIU
  • Publication number: 20090276414
    Abstract: Search results provided by a search engine (e.g., for the Internet) are improved and/or made more accurate by addressing the limited availability of human labeled training data for certain domains (e.g., languages other than English, within certain date ranges, corresponding to queries over a certain length, etc.). More particularly, a ranking model trained on in-domain data, for which a small amount of human labeled training data (e.g., query/URL pairs) is available (e.g., languages other than English) is adjusted based upon out-domain data, for which a large amount of human labeled training data (e.g., query/URL pairs) is available (e.g., English). Thus, even though the resulting adapted in-domain ranking model is used in the context of in-domain data (e.g., non-English) to provide search results, the search results are improved because they are influenced by an abundance of, albeit out-domain, human labeled training data.
    Type: Application
    Filed: April 30, 2008
    Publication date: November 5, 2009
    Applicant: MICROSOFT CORPORATION
    Inventors: Jianfeng Gao, Qiang Wu, Jiangyun Song, Junyan Chen, Steven Yao