Patents by Inventor Zichen GU

Zichen GU 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: 20250061346
    Abstract: A method of determining interaction information, an electronic device and a storage medium are provided, which relates to a field of artificial intelligence technology, in particular to a large model, a generative model, an NLP, an intelligent search and other fields. An implementation is to determine a plurality of questioning dimensions according to query information of a subject and historical query information, where each questioning dimension includes a dimension name and a plurality of options; determine a target questioning dimension from the plurality of questioning dimensions according to evaluation values of the plurality of questioning dimensions and whether semantic information of the plurality of questioning dimensions are consistent with semantic information of a query result associated with the query information; and determine the interaction information according to the dimension name and the plurality of options in the target questioning dimension.
    Type: Application
    Filed: October 31, 2024
    Publication date: February 20, 2025
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Xiao LI, Xin JIA, Simiu GU, Junfeng WANG, Haibo SHI, Yu LU, Sheng XU, Liang ZHANG, Wenjie ZHOU, Yijun LIU, Mei LU, Zichen WU, Min YANG, Huanjie WANG, Qiao TANG, Mengmeng CUI
  • Publication number: 20170228618
    Abstract: A video classification method and apparatus are provided in embodiments of the present invention. The method includes: establishing a neural network classification model according to a relationship between features of video samples and a semantic relationship of the video samples; obtaining a feature combination of a to-be-classified video file; and classifying the to-be-classified video file by using the neural network classification model and the feature combination of the to-be-classified video file The neural network classification model is established according to the relationship between the features of the video samples and the semantic relationship of the video samples, and the relationship between the features and the semantic relationship are fully considered. Therefore, video classification accuracy are improved.
    Type: Application
    Filed: April 24, 2017
    Publication date: August 10, 2017
    Inventors: Yugang JIANG, Zuxuan WU, Xiangyang XUE, Zichen GU, Zhenhua CHAI
  • Patent number: 9659233
    Abstract: The present invention provides a method and an apparatus for detecting a salient region of an image. Classification processing is obtained by means of pre-training, so as to obtain a classification label, where the classification label is used to indicate a salience detection algorithm for detecting a salient region of the test image. Salience detection is performed on the test image by using the salience detection algorithm indicated by the classification label, so as to obtain the salient region of the test image. Because a salience detection algorithm with the best detection effect is acquired by using the image feature vector of the test image, to detect the salient region of the test image, accuracy of salience detection is improved.
    Type: Grant
    Filed: December 23, 2014
    Date of Patent: May 23, 2017
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventors: Xinyu Du, Dong Wang, Zichen Gu, Daiyu Wei
  • Publication number: 20150227816
    Abstract: The present invention provides a method and an apparatus for detecting a salient region of an image. Classification processing is performed on a test image according to an image feature vector of the test image by using a classifier obtained by means of pre-training, so as to obtain a classification label, where the classification label is used to indicate a salience detection algorithm for detecting a salient region of the test image. Salience detection is performed on the test image by using the salience detection algorithm indicated by the classification label, so as to obtain the salient region of the test image. Because a salience detection algorithm with the best detection effect is acquired by using the image feature vector of the test image, to detect the salient region of the test image, accuracy of salience detection is improved.
    Type: Application
    Filed: December 23, 2014
    Publication date: August 13, 2015
    Inventors: Xinyu DU, Dong WANG, Zichen GU, Daiyu WEI