Patents by Inventor Huiying Tang

Huiying Tang 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: 20240143699
    Abstract: A consensus graph learning-based multi-view clustering method includes: S11, inputting an original data matrix to obtain a spectral embedding matrix; S12, calculating a similarity graph matrix and a Laplacian matrix based on the spectral embedding matrix; S13, applying spectral clustering to the calculated similarity graph matrix to obtain spectral embedding representations; S14, stacking inner products of the normalized spectral embedding representations into a third-order tensor and using low-rank tensor representation learning to obtain a consistent distance matrix; S15, integrating spectral embedding representation learning and low-rank tensor representation learning into a unified learning framework to obtain a objective function; S16, solving the obtained objective function through an alternative iterative optimization strategy; S17, constructing a consistent similarity graph based on the solved result; and S18, applying spectral clustering to the consistent similarity graph to obtain a clustering resul
    Type: Application
    Filed: December 7, 2021
    Publication date: May 2, 2024
    Applicant: ZHEJIANG NORMAL UNIVERSITY
    Inventors: Xinzhong ZHU, Huiying XU, Zhenglai LI, Chang TANG, Jianmin ZHAO
  • Publication number: 20240126829
    Abstract: An unsupervised feature selection method based on latent space learning and manifold constraints includes: S11, inputting an original data matrix to obtain a feature selection model; S12, embedding latent space learning into the feature selection model to obtain a feature selection model with the latent space learning; S13, adding a graph Laplacian regularization term into the feature selection model with the latent space learning to obtain an objective function; S14, solving the objective function by adopting an alternative iterative optimization strategy; and S15, sequencing each feature in the original matrix, and selecting the first k features to obtain an optimal feature subset. Feature selection is performed in a learned potential latent space, and the space is robust to noise. The potential latent space is modeled by non-negative matrix decomposition of a similarity matrix, and the matrix decomposition can unambiguously reflect relationships between data instances.
    Type: Application
    Filed: December 7, 2021
    Publication date: April 18, 2024
    Applicant: ZHEJIANG NORMAL UNIVERSITY
    Inventors: Xinzhong ZHU, Huiying XU, Xiao ZHENG, Chang TANG, Jianmin ZHAO
  • Publication number: 20230229830
    Abstract: A method for coupling hydraulic fracture network extension and production performance of a horizontal well in an unconventional oil and gas reservoir includes: establishing a complex hydraulic fracture network model of a fractured horizontal well in an unconventional oil and gas reservoir based on a fracture extension theory; constructing three-dimensional three-phase mathematical models of seepage for the fractured horizontal well based on an embedded discrete fracture model; and constructing a fully implicit numerical calculation model by a finite difference method through three-dimensional orthogonal grids, and solving iteratively, thereby accurately predicting a production performance characteristic of the fractured horizontal well in the unconventional oil and gas reservoir.
    Type: Application
    Filed: March 31, 2022
    Publication date: July 20, 2023
    Applicant: Southwest Petroleum University
    Inventors: Yulong ZHAO, Liehui ZHANG, Ruihan ZHANG, Bin ZENG, Huiying TANG, Jun PAN, Xiao HE, Zhidong YANG
  • Publication number: 20220136948
    Abstract: The invention discloses a natural gas diffusion coefficient measurement auxiliary device based on a hand-operated lifting device, comprising a core chamber, a bracket, a core preservation device, and a hand-operated lifting device; the left side of the core chamber is connected with a methane measuring chamber, and the right side of the core chamber is connected with a nitrogen measuring chamber; a rotatable bracket is installed on the lower left side of the core chamber, and the lower right side of the core chamber is connected with the hand-operated lifting device; the core chamber is rotated by the hand-operated lifting device with the support as the center; a horizontal platform at the lower part of the core chamber is provided with a revolving door that can accommodate the left end of the core chamber; a core preservation device is installed at the lower part of the revolving door.
    Type: Application
    Filed: May 18, 2020
    Publication date: May 5, 2022
    Inventors: Shuyong Hu, Tingting Qiu, Liehui Zhang, Yulong Zhao, Huiying Tang, Xindong Wang, Nana Song, Xueqiang Guo
  • Patent number: 10942105
    Abstract: An experimental device for carbon dioxide imbition, diffusion and oil discharge in a tight oil reservoir includes: a multistage rock core holder connected with a confining pressure pump and including a pair of connecting holes arranged at an upper end and a lower end thereof with an oil filler pipe connecting therebetween, a crude oil injection device and a recovery device respectively connected to the upper and lower ends, an intermediate container connected to both a high-pressure cylinder and an injection pump, a return pressure pump, a collection device and a control system. A plurality of rows of openings is arranged at a side of the multistage rock core holder to act as a gas inlet connected with the intermediate container via a pipeline, and a gas outlet connected with the recovery device; heating layers are arranged at inner walls of the multistage rock core holder and the intermediate container.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: March 9, 2021
    Assignee: Southwest Petroleum University
    Inventors: Shuyong Hu, Tao Long, Xiaobing Han, Yulong Zhao, Huiying Tang, Xindong Wang, Nana Song, Xueqiang Guo, Tingting Qiu, Bingyang Zheng, Xinyuan Long