Patents by Inventor Yinuo ZHANG

Yinuo ZHANG 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: 12008029
    Abstract: In some examples, a system performs a delimiter identification process that includes identifying candidate record delimiters and candidate field delimiters in the input data, and providing different pairs of candidate record delimiters and candidate field delimiters. For each respective pair of the different pairs, the system identifies records using the corresponding candidate record delimiter of the respective pair, and computes a collection of measures including a measure indicating a quantity of unique fields observed in the records identified using the corresponding field delimiter of the respective pair. The system selects, based on values of the collection of measures computed for corresponding pairs of the different pairs, a record delimiter and a field delimiter in a pair of the different pairs.
    Type: Grant
    Filed: December 29, 2022
    Date of Patent: June 11, 2024
    Assignee: Teradata US, Inc.
    Inventors: Sung Jin Kim, Yinuo Zhang, Rehana Rahiman, Eugene Szedenits
  • Patent number: 11967497
    Abstract: A method for cleaning semiconductor substrate without damaging patterned structure on the semiconductor substrate using ultra/mega sonic device comprises applying liquid into a space between a substrate and an ultra/mega sonic device; setting an ultra/mega sonic power supply at frequency f1 and power P1 to drive the ultra/mega sonic device; before bubble cavitation in the liquid damaging patterned structure on the substrate, setting the ultra/mega sonic power supply at zero output; after temperature inside bubble cooling down to a set temperature, setting the ultra/mega sonic power supply at frequency f1 and power P1 again; detecting power on time at power P1 and frequency f1 and power off time separately or detecting amplitude of each waveform output by the ultra/mega sonic power supply; comparing the detected power on time with a preset time ?1, or comparing the detected power off time with a preset time ?2, or comparing detected amplitude of each waveform with a preset value, if the detected power on time
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: April 23, 2024
    Assignee: ACM Research (Shanghai) Inc.
    Inventors: Jun Wang, Hui Wang, Fufa Chen, Fuping Chen, Jian Wang, Xi Wang, Xiaoyan Zhang, Yinuo Jin, Zhaowei Jia, Liangzhi Xie, Xuejun Li
  • Publication number: 20240126771
    Abstract: A multi-parameter data type framework can, among other things, provide a more comprehensive, systematic, and/or formal mechanisms for determining an appropriate data type for a data set. For example, the multi-parameter data type framework can be used to allow analytic tools to virtually automatically figure out an appropriate data type for a set of data values.
    Type: Application
    Filed: October 13, 2022
    Publication date: April 18, 2024
    Applicant: Teradata US, Inc.
    Inventors: Sung Jin Kim, Yinuo Zhang, Wellington Marcos Cabrera Arevalo, Rehana Rahiman, Mohamed Mahmoud Hafez Mahmoud Abdelrahman, Venkat Swamy Godi
  • Patent number: 11911808
    Abstract: A system for controlling damages in cleaning a semiconductor wafer comprising features of patterned structures, the system comprising: a wafer holder for temporary restraining a semiconductor wafer during a cleaning process; an inlet for delivering a cleaning liquid over a surface of the semiconductor wafer; a sonic generator configured to alternately operate at a first frequency and a first power level for a first predetermined period of time and at a second frequency and a second power level for a second predetermined period of time, to impart sonic energy to the cleaning liquid, the first predetermined period of time and the second predetermined period of time consecutively following one another; and a controller programmed to provide the cleaning parameters, wherein at least one of the cleaning parameters is determined such that a percentage of damaged features as a result of the imparting sonic energy is lower than a predetermined threshold.
    Type: Grant
    Filed: March 9, 2023
    Date of Patent: February 27, 2024
    Assignee: ACM Research (Shanghai) Inc.
    Inventors: Hui Wang, Fufa Chen, Fuping Chen, Jian Wang, Xi Wang, Xiaoyan Zhang, Yinuo Jin, Zhaowei Jia, Liangzhi Xie, Jun Wang, Xuejun Li
  • Patent number: 10942923
    Abstract: A database query to be run against a database is received by a processor. The query includes a query predicate. The query predicate includes a condition. The condition applies to a single database table. The condition is parsed to create an input vector. The input vector is submitted to a neural network. The neural network is trained to calculate the selectivity, a number of unique values (NUV) of results of applying predicates to the single database table, and a high mode frequency (HMF) of results of applying predicates to the single database table. The neural network determines the selectivity of the query predicate, an NUV for each column in the result of applying the query predicate to the single database table, and an HMF for each column in the result of applying the query predicate to the single database table.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: March 9, 2021
    Assignee: Teradata US, Inc.
    Inventors: Yinuo Zhang, Sung Jin Kim, Grace Kwan-On Au
  • Publication number: 20180300401
    Abstract: A computer implemented method of matching ontologies is disclosed. The method includes, for each pair of entities of a first ontology and a second ontology, wherein each pair of entities includes a first entity from a first plurality of entities of the first ontology and a second entity from a second plurality of entities of the second ontology, and wherein the first entity and the second entity of each pair of entities is of a same data type: (1) determining a vector of similarities for the pair of entities; (2) determining a confidence score for the vector of similarities; (3) determining a relation score for each relation type based on the vector of similarities to measure relatedness between the first entity of the pair of entities and the second entity of the pair of entities; and (4) generating a mapping ontology based on the relation type, the relation score, and the confidence score of each pair of entities.
    Type: Application
    Filed: March 8, 2018
    Publication date: October 18, 2018
    Applicants: Chevron U.S.A. Inc., University of Southern California
    Inventors: Yinuo ZHANG, Anand V. PANANGADAN, Randall G. MCKEE, Mauritz THERON, Benjamin D. GAMBLE, Viktor K. PRASANNA
  • Patent number: 10019516
    Abstract: A computer implemented method of matching ontologies is disclosed. The method includes, for each pair of entities of a first ontology and a second ontology, wherein each pair of entities includes a first entity from a first plurality of entities of the first ontology and a second entity from a second plurality of entities of the second ontology, and wherein the first entity and the second entity of each pair of entities is of a same data type: (1) determining a vector of similarities for the pair of entities; (2) determining a confidence score for the vector of similarities; (3) determining a relation score for each relation type based on the vector of similarities to measure relatedness between the first entity of the pair of entities and the second entity of the pair of entities; and (4) generating a mapping ontology based on the relation type, the relation score, and the confidence score of each pair of entities.
    Type: Grant
    Filed: April 4, 2015
    Date of Patent: July 10, 2018
    Assignees: University of Southern California, Chevron U.S.A. Inc.
    Inventors: Yinuo Zhang, Anand V. Panangadan, Randall G. McKee, Mauritz Theron, Benjamin D. Gamble, Viktor K. Prasanna
  • Publication number: 20150286713
    Abstract: A computer implemented method of matching ontologies is disclosed. The method includes, for each pair of entities of a first ontology and a second ontology, wherein each pair of entities includes a first entity from a first plurality of entities of the first ontology and a second entity from a second plurality of entities of the second ontology, and wherein the first entity and the second entity of each pair of entities is of a same data type: (1) determining a vector of similarities for the pair of entities; (2) determining a confidence score for the vector of similarities; (3) determining a relation score for each relation type based on the vector of similarities to measure relatedness between the first entity of the pair of entities and the second entity of the pair of entities; and (4) generating a mapping ontology based on the relation type, the relation score, and the confidence score of each pair of entities.
    Type: Application
    Filed: April 4, 2015
    Publication date: October 8, 2015
    Applicants: UNIVERSITY OF SOUTHERN CALIFORNIA, CHEVRON U.S.A. INC.
    Inventors: Yinuo ZHANG, Anand V. PANANGADAN, Randall G. MCKEE, Mauritz THERON, Benjamin D. GAMBLE, Viktor K. PRASANNA