Patents by Inventor Dong-Jin Yu

Dong-Jin Yu 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: 12254420
    Abstract: The disclosure discloses a point-of-interest recommendation method based on a temporal knowledge graph. Based on the historical behavior trajectory of the user and multimodal information, the disclosure constructs a dynamic temporal knowledge graph and a static group knowledge graph, which are used to learn interest preferences of the user that change over time and stable features that do not change over time, respectively. At the same time, the disclosure uses deep learning methods to build a point-of-interest recommendation model, which can extract a point-of-interest fusion feature representation and a user fusion feature representation from the two knowledge graphs in combination with a user review sentiment embedding sequence to accurately predict a point of interest most likely to be visited by the target user at a next moment. The disclosure has the characteristics of high precision and strong scalability, and can provide support for personalized user behavior trajectory prediction.
    Type: Grant
    Filed: November 12, 2024
    Date of Patent: March 18, 2025
    Assignees: Hangzhou Dianzi University Binjiang Institute Co., Ltd., Hangzhou Dianzi University
    Inventors: Xiao Xiao Sun, Dong Jin Yu, Bo Yi Huang, Si Xuan Wang, Dong Jing Wang, Yao Wang Chen
  • Publication number: 20230169652
    Abstract: Systems and methods for chest condition determination can leverage one or more machine-learned models to process radiograph data to determine risk data (e.g., a preliminary diagnosis). For example, systems and methods can utilize a pathology model to process a chest x-ray to generate a tuberculosis diagnosis. The one or more machine-learned models can segment the lungs, can detect features in the data, and can pool the segmentation and located features to determine the diagnosis.
    Type: Application
    Filed: May 12, 2022
    Publication date: June 1, 2023
    Inventors: Sahar Kazemzadeh, Dong Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Isam Nabulsi, Andrew Beckmann Sellergren, Yun Liu, Shruthi Prabhakara, Atilla Peter Kiraly
  • Patent number: 7815753
    Abstract: Disclosed is a Fe-based bulk amorphous alloy composition which forms a bulk amorphous substance due to its excellent amorphous formability when it is cooled to a temperature lower than its glass transition temperature from the liquid state at a relatively low cooling rate of 1000 K/s or less, has high warm processability in a low temperature range owing to its supercooled liquid region of 20K or higher and has excellent fluidity in the liquid state and thereby good castability.
    Type: Grant
    Filed: August 11, 2005
    Date of Patent: October 19, 2010
    Assignee: Kyungpook National University Industry-Academic Cooperation Foundation
    Inventors: Seong-Hoon Yi, Hong-Xiang Li, Myung-Il Heo, Jong-Chul Yi, Dong-Jin Yu, Sang-Hum Kwon, Chul-Woo Kim, Jong-Won Kim, In-Seok Hwang
  • Publication number: 20070295429
    Abstract: Disclosed is a Fe-based bulk amorphous alloy composition which forms a bulk amorphous substance due to its excellent amorphous formability when it is cooled to a temperature lower than its glass transition temperature from the liquid state at a relatively low cooling rate of 1000 K/s or less, has high warm processability in a low temperature range owing to its supercooled liquid region of 20K or higher and has excellent fluidity in the liquid state and thereby good castability.
    Type: Application
    Filed: August 11, 2005
    Publication date: December 27, 2007
    Applicant: Kyungpook National University Industry-Academic Cooperation Foundation
    Inventors: Seong-Hoon Yi, Hong-Xiang Li, Myung-II Heo, Jong-Chul Yi, Dong-Jin Yu, Sang-Hum Kwon, Chul-Woo Kim, Jong-Won Kim, In-Seok Hwang