Patents by Inventor Libin Yu

Libin 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: 12261967
    Abstract: A blockchain sharding method combining spectral clustering and a reputation value mechanism includes: obtaining, every other account grouping cycle Ta, account transaction data recorded during operation of a blockchain to generate an account transaction graph; obtaining an adjacency similarity matrix W and a degree matrix D based on the account transaction graph; generating a Normalized Laplace matrix L based on the adjacency similarity matrix W and the degree matrix D, performing dimension reduction on L to obtain a feature matrix F, and then clustering the feature matrix F with a clustering dimension of k by row through a K-means clustering method; and dividing blockchain accounts into k groups based on an obtained clustering result, and allocating accounts in the k groups to k blockchain shards.
    Type: Grant
    Filed: October 25, 2022
    Date of Patent: March 25, 2025
    Assignee: GUANGDONG UNIVERSITY OF TECHNOLOGY
    Inventors: Rong Yu, Libin Cai, Siming Wang, Beihai Tan
  • Publication number: 20250086460
    Abstract: Disclosed are a method and apparatus for compressing a topology recognition model, an electronic device, and a medium. The method includes: pruning a to-be-compressed model to obtain a pruned model, and training the pruned model to obtain a trained pruned model; quantifying a bit quantity of a weight parameter of each neural network layer in the trained pruned model from a first bit quantity to a second bit quantity to obtain a highly-quantified pruned model, and training the highly-quantified pruned model to obtain a trained highly-quantified pruned model; using the trained highly-quantified pruned model as the to-be-compressed model, continuously pruning and quantifying the to-be-compressed model until a compressed topology recognition model is obtained, and deploying the compressed topology recognition model on an Internet of Things in Power Systems (IOTIPS) terminal, to reduce a size of the topology recognition model while ensuring the topology recognition model meets an accuracy requirement.
    Type: Application
    Filed: August 9, 2023
    Publication date: March 13, 2025
    Inventors: Jianan Yuan, Chao Huo, Huifeng Bai, Ganghong Zhang, Jian Gao, Libin Zheng, Huadong Yu, Zhibin Yin, Anqin Luo, Fan Xie, Yifan Shen, Shuangshuang Yang, Xiao Ding
  • Patent number: 12161970
    Abstract: A CO2 desorption system suitable for limited space in a complex sailing region comprises an exhaust boiler, a compact CO2 absorber, a compact CO2 lean-rich liquid heat exchanger, a compact CO2 desorber, a compact CO2 rich liquid preheating device, a compact CO2 rich liquid reboiling pre-desorption device and an intelligent control platform. Further, a global optimization control method for the CO2 desorption system suitable for limited space in a complex sailing region is further established based through a knowledge and data-driven exhaust extraction flow accurate-prediction model for a heat source of a CO2 rich liquid preheating device and a steam extraction flow accurate-prediction model for a heat source on an upper section of a CO2 rich liquid reboiling pre-desorption device to realize flexible control of operation parameters of the desorption system under different operating conditions of an engine.
    Type: Grant
    Filed: August 9, 2024
    Date of Patent: December 10, 2024
    Assignees: Jiaxing Research Institute, Zhejiang University, Zhejiang University
    Inventors: Chenghang Zheng, Xiang Gao, Can Zhou, Yongxin Zhang, Qihao Chen, Weihong Wu, Zhiying Zhou, Haitao Shen, Haidong Fan, Qingyi Li, Yifan Wang, Peng Liu, Libin Yu, Tao Wang