Patents by Inventor Xiao Ming

Xiao Ming 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: 20230367689
    Abstract: Disclosed are a computer-implemented method, a system and a computer program product for model exploration. Model feature importance of each model of a plurality of models can be obtained, the plurality of models can be grouped into a plurality of model clusters based on the model feature importance of each model, and the model feature importance can be presented by box-plot or confidence interval.
    Type: Application
    Filed: May 15, 2022
    Publication date: November 16, 2023
    Inventors: Jing Xu, Xue Ying Zhang, Si Er Han, Jing James Xu, Xiao Ming Ma, Jun Wang, Wen Pei Yu
  • Publication number: 20230359758
    Abstract: The present disclosure relates to privacy protection in a search process. According to a method, a target emotion vector is extracted from a search interaction, the target emotion vector representing emotional information in the search interaction. Respective emotion distances between the target emotion vector and respective emotion vectors associated with a plurality of text clusters are determined. The plurality of text clusters is clustered from a dictionary of text elements. A first number of text clusters are selected from the plurality of text clusters based on the determined respective emotion distances. The first number of text clusters have emotion distances larger than at least one unselected text cluster among the plurality of text clusters. A plurality of confused search interactions are constructed for the search interaction based on the first number of text clusters, and the plurality of confused search interactions are performed.
    Type: Application
    Filed: May 3, 2022
    Publication date: November 9, 2023
    Inventors: Jin Wang, Lei GAO, A PENG ZHANG, Kai Li, Jun Wang, Xiao Ming Ma, Xin Feng Zhu, Geng Wu Yang
  • Publication number: 20230322628
    Abstract: Disclosed are methods of forming a chamber component for a process chamber. The methods may include filling a mold with nanoparticles or plasma spraying nanoparticles, where at least a portion of the nanoparticles include a core particle and a thin film coating over the core particle. The core particle and thin film are formed of, independently, a rare earth metal-containing oxide, a rare earth metal-containing fluoride, a rare earth metal-containing oxyfluoride, or combinations thereof. The nanoparticles may have a donut-shape having a spherical form with indentations on opposite sides. The methods also may include sintering the nanoparticles to form the chamber component and materials. Further described are chamber components and coatings formed from the described nanoparticles.
    Type: Application
    Filed: April 27, 2023
    Publication date: October 12, 2023
    Inventors: Guodong Zhan, Xiaowei Wu, Xiao Ming He, Jennifer Y. Sun
  • Publication number: 20230306312
    Abstract: Examples described herein provide a computer-implemented method that includes determining a kernel width for the machine learning model. The method further includes building a local interpretable linear model using the kernel width. The method further includes computing a contribution and confidence for a feature of the local interpretable linear model. The method further includes updating the local interpretable linear model to generate a final model and computing an overall confidence for the final model.
    Type: Application
    Filed: March 21, 2022
    Publication date: September 28, 2023
    Inventors: Xiao Ming Ma, Si Er Han, Xue Ying Zhang, Wen Pei Yu, Jing Xu, Jing James Xu, Lei Gao, A Peng Zhang
  • Publication number: 20230297647
    Abstract: A method, computer program, and computer system are provided for training a machine learning model. A feature associated with training data derived from a dataset is identified. A machine learning model is generated based on the training data. At least a portion of the training data associated with maximizing an importance value associated with the identified feature is selected. The importance value corresponds to a need associated with the machine learning model. One or more weight values is assigned to the selected portion of the training data. The machine learning model is updated based on the assigned weight values.
    Type: Application
    Filed: March 18, 2022
    Publication date: September 21, 2023
    Inventors: Xiao Ming Ma, Jin Wang, Lei Gao, A PENG ZHANG, Wen Pei Yu, Xin Feng Zhu
  • Publication number: 20230297551
    Abstract: A system may port a data model into a strict schema system, translate the data model into a transformation rule definition, fit the transformation rule definition to a transform action, receive strict schema data, perform the transform action on the strict schema data based on the transformation rule definition to form rough data, and execute filtering and enriching operations on the rough data to form loose schema data.
    Type: Application
    Filed: March 15, 2022
    Publication date: September 21, 2023
    Inventors: Cheng Luo, Wen Wen Guo, Chu Yun Tong, Xiao Ming Hu, Miao Liu, YI XIN SONG
  • Publication number: 20230289693
    Abstract: A method, computer system, and a computer program product for performing an interactive outcome analysis is provided. The present invention may include generating, by a computer, a first estimation outcome from a first plurality of input conditions. The present invention may include generating, by the computer, a parallel estimation outcome from a second plurality of input conditions, wherein at least one of said input conditions in said first plurality of input conditions is different from any of said second plurality of input conditions. The present invention may include selecting, by the computer, either said first or said parallel estimation outcome by analyzing said outcomes with one another and with a target goal outcome.
    Type: Application
    Filed: March 14, 2022
    Publication date: September 14, 2023
    Inventors: Wen Pei Yu, Xiao Ming Ma, Xue Ying Zhang, Si Er Han, Jing James Xu, Jing Xu, Rui Wang, Jun Wang, Ji Hui Yang
  • Publication number: 20230271287
    Abstract: An assembling equipment for performing asynchronous process on a first workpiece and a second workpiece. The assembling equipment includes a base and a conveying mechanism on the base. The conveying mechanism transports a first positioning assembly carrying a first workpiece and a second positioning assembly carrying a second workpiece to a first station synchronously, and a first attaching mechanism attaches a first component to the first workpiece at the first station. Then the conveying mechanism transports the first positioning assembly and the second positioning assembly to a second station synchronously, a second attaching mechanism attaches a second component to the second workpiece, and a first processing mechanism processes first workpiece that has been attached with the first component according to a preset requirement at the same time. The assembling equipment improves efficiency of production.
    Type: Application
    Filed: February 28, 2023
    Publication date: August 31, 2023
    Inventors: BO LONG, XIAO-MING XU, ZHEN-XING LIU, CHUN-MING ZHANG
  • Patent number: 11741128
    Abstract: A method of clustering data generated by an unknown model, the method including accessing the data, wherein the data includes a prediction target and a confidence, extracting a data group with high prediction confidence from the data, wherein the data group comprises a plurality of data cases, and where each of the data cases is described by a plurality of predictors, identifying high rank predictors of each the data cases in the data group, transforming the data group into a transformed data group including only the high rank predictors for each of the data cases, wherein the high rank predictors are ranked within each of the data cases included in the transformed data group, clustering the transformed data group to generate clusters, and profiling the clusters to extract an insight about the unknown model.
    Type: Grant
    Filed: May 6, 2021
    Date of Patent: August 29, 2023
    Assignee: International Business Machines Corporation
    Inventors: Jing Xu, Xue Ying Zhang, Si Er Han, Xiao Ming Ma, Ji Hui Yang
  • Patent number: 11727312
    Abstract: A computer-implemented method, system and computer program product for generating personalized recommendations to address a target problem. A machine learning prediction model directed to a target problem for an individual is built with historical data. After receiving data about the individual, a prediction for the individual is obtained in connection with the target problem by the built model using the received data about the individual. Key predictors (e.g., parameters) and their weight for the individual are generated using the prediction by an explanation model. Record(s) are identified from the historical data by performing similarity analysis of the historical data using the key predictors and their weight. Such records provide a population closely related to the individual with respect to the target problem. These records are then analyzed and recommendations are provided to a user to solve the target problem for the individual based on the analysis of the identified record(s).
    Type: Grant
    Filed: September 3, 2019
    Date of Patent: August 15, 2023
    Assignee: International Business Machines Corporation
    Inventors: Xue Ying Zhang, Jing Xu, Xiao Ming Ma, Jing James Xu, Ying Xu, Ang Chang
  • Publication number: 20230252699
    Abstract: An approach is provided in which the approach generates a parallel chart based on multiple records that includes a set of variable values corresponding to a set of variables. To generate the parallel chart, the approach arranges the set of variables on the parallel chart in a variable order based on at least one variable arrangement rule. The approach arranges an initial variable value order for each one of the set of variables, and computes a lucidity score based on the variable order and the initial variable value order of each of the set of variables. The lucidity score is a measurement of the clarity of the parallel chart. The approach adjusts the variable value order of at least one of the set of variables to increase the lucidity score and optimizes the clarity of the parallel chart based on the adjusted variable value order.
    Type: Application
    Filed: January 19, 2022
    Publication date: August 10, 2023
    Inventors: Xiao Ming Ma, Si Er Han, Xue Ying Zhang, Jing Xu, Wen Pei Yu, Ji Hui Yang, Jing Jia
  • Patent number: 11713986
    Abstract: A throttling component and a conditioning and flowrate measurement device including a throttling component. The throttling component comprises a central throttling element and multiple peripheral throttling elements. The multiple peripheral throttling elements are sequentially sleeved on the exterior of the central throttling element, and are coaxial to the central throttling element; annular fluid channels are respectively formed between the central throttling element and its adjacent peripheral throttling element, and between adjacent peripheral throttling elements. A sensitive and clear differential pressure signal is generated while the throttling component stabilizes the flow, so that the accuracy and reliability of flowrate measurement can be improved.
    Type: Grant
    Filed: January 16, 2019
    Date of Patent: August 1, 2023
    Assignee: NANJING EXACTRA AUTOMATION CONTROL TECHNOLOGY CO., LTD.
    Inventor: Xiao Ming
  • Publication number: 20230211458
    Abstract: A surface processing device includes a machining mechanism and a driving mechanism driving the machining mechanism to polish a workpiece. The machining mechanism includes a machining assembly and a first transmission shaft eccentrically coupled with the machining assembly at a first end. The first transmission shaft rotates to bring the machining assembly into revolving around the first transmission shaft. The driving mechanism includes a motor connected to a second end of the first transmission shaft for outputting power to the machining mechanism. The surface processing device provides smooth machining without the noise of a pneumatically-powered tool.
    Type: Application
    Filed: December 21, 2022
    Publication date: July 6, 2023
    Inventors: FENG ZHANG, MIN LI, XIAO-MING XU, BO LONG, WEN-CHAO HUANG
  • Publication number: 20230185879
    Abstract: A computer implemented technique including: splitting data of a historical time series data set into subsets; updating a time series model by backwards data selection to obtain an interim version of the time series model; exploring pattern changes in the new data to obtain new predictors of pattern change; and updating the interim version of the time series model by applying the new predictors of pattern change to obtain an updated version of the time series model.
    Type: Application
    Filed: December 15, 2021
    Publication date: June 15, 2023
    Inventors: Si Er Han, Xue Ying Zhang, Jing Xu, Xiao Ming Ma, Ji Hui Yang
  • Publication number: 20230177119
    Abstract: Embodiments are disclosed for a method. The method includes determining a correlation list of missing value predictors. The method also includes generating a cluster model having multiple clusters. The cluster model is based on a target value and predictor values. The method further includes determining an imputed value for a missing value of a row of original training data based on a linear regression model for multiple non-missing value predictor values for the clusters.
    Type: Application
    Filed: December 5, 2021
    Publication date: June 8, 2023
    Inventors: A PENG ZHANG, Xiao Ming Ma, Lei Gao, Jin Wang, Kai Li
  • Patent number: 11667578
    Abstract: Methods of forming nanoceramic materials and components. The methods may include performing atomic layer deposition to form a plurality of nanoparticles, including forming a thin film coating over core particles, or sintering the nanoparticles in a mold. The nanoparticles can include a first material selected from a rare earth metal-containing oxide, a rare earth metal-containing fluoride, a rare earth metal-containing oxyfluoride or combinations thereof.
    Type: Grant
    Filed: March 3, 2022
    Date of Patent: June 6, 2023
    Assignee: Applied Materials, Inc.
    Inventors: Guodong Zhan, Xiaowei Wu, Xiao Ming He, Jennifer Y. Sun
  • Patent number: 11658014
    Abstract: Methods and apparatus for depositing a coating on a semiconductor manufacturing apparatus component are provided herein. In some embodiments, a method of depositing a coating on a semiconductor manufacturing apparatus component includes: sequentially exposing a semiconductor manufacturing apparatus component including nickel or nickel alloy to an aluminum precursor and a reactant to form an aluminum containing layer on a surface of the semiconductor manufacturing apparatus component by a deposition process.
    Type: Grant
    Filed: April 11, 2020
    Date of Patent: May 23, 2023
    Assignee: APPLIED MATERIALS, INC.
    Inventors: Pingyan Lei, Dien-Yeh Wu, Xiao Ming He, Jennifer Y. Sun, Lei Zhou, Takashi Kuratomi, Avgerinos V. Gelatos, Mei Chang, Steven D. Marcus
  • Publication number: 20230153282
    Abstract: A computer-implemented method, system and computer program product for improving performance of a distributed database. A query is received to store version data in the distributed database. Upon receiving the query to store the version data, the version data is stored in a row of a data page of a main table of a heap organized table/index organized table of the distributed database, where the row of the data page of the main table of the heap organized table/index organized table of the distributed database contains a pointer pointing to a later/previous version of the version data if the later/previous version of the version data is stored in the data page thereby chaining version data bi-directionally.
    Type: Application
    Filed: November 15, 2021
    Publication date: May 18, 2023
    Inventors: Sheng Yan Sun, Shuo Li, Xiaobo Wang, Xiao Ming Ma
  • Publication number: 20230137184
    Abstract: A method, system, and computer program product for incremental machine learning for a parametric machine learning model are disclosed. The method may include processing samples comprising historical samples and new samples with an existing parametric machine learning model to obtain at least one prediction residual of each of the samples, wherein the existing parametric machine learning model was trained based on the historical samples. The method may further include clustering the samples based on the at least one prediction residual of each of the samples and features of each of the samples. The method may further include sampling samples in each cluster to ensure that each cluster includes substantially similar number of sampled samples. The method may further include updating the existing parametric machine learning model to obtain an updated parametric machine learning model based on sampled samples in each cluster.
    Type: Application
    Filed: November 4, 2021
    Publication date: May 4, 2023
    Inventors: Si Er Han, Ji Hui Yang, Xiao Ming Ma, Jing Xu, Xue Ying Zhang
  • Patent number: D990079
    Type: Grant
    Filed: July 30, 2021
    Date of Patent: June 20, 2023
    Assignee: SHENZHEN JASHEN TECHNOLOGY CO., LTD.
    Inventors: Zhi-Chang Liu, Xiao-Ming Zhang, Yan-Cheng He, Tu-Jing Zheng