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: 20250053858
    Abstract: In an approach, a processor selects a top N features for a machine learning (ML) model; discretizes values of each continuous feature of the top N features; generates a set of combination values that each represent a unique combination of feature values in for a data record; predicts, using the ML model, a target value for each record generating predicted target values; groups the predicted target values based on the combination value for each respective record; fits a distribution for each grouping of the predicted target values associated with a respective combination value generating a set of distributions; clusters and refits the set of distributions using a clustering algorithm resulting in a set of clusters and a refitted distribution for each cluster of the set of clusters; and outputs a visualization of the refitted distribution for each cluster as a distribution curve on a graph along with the associated records.
    Type: Application
    Filed: August 8, 2023
    Publication date: February 13, 2025
    Inventors: Si Er Han, Xiao Ming Ma, Wen Pei Yu, Xue Ying Zhang, Jing Xu, Jing James Xu, Jun Wang, Lei Tian
  • Publication number: 20240427684
    Abstract: A computer-implemented method, a system and a computer program product for abnormal point simulation are disclosed. A processor analyzes a plurality of data blocks in first time series data to determine traits of respective data blocks. For the respective data blocks, a processor simulates one or more abnormal points based on the traits of the respective data blocks.
    Type: Application
    Filed: June 20, 2023
    Publication date: December 26, 2024
    Inventors: Si Er Han, Xiao Ming Ma, Jun Wang, Wen Pei Yu, Xue Ying Zhang, Jing James Xu, Jing Xu
  • Publication number: 20240411783
    Abstract: A computer-implemented method for treating post-modeling data includes computing, sequentially for each category of a feature, a category importance (CI) value. The CI value is based on a model accuracy change when records of a category being examined are reassigned to a remaining set of categories of the feature according to a cumulative distribution of records among the remaining set of categories of the feature, wherein the remaining set of categories include all categories of the feature, except for the category being examined. A post-modeling category is performed to merge of each category having the CI value less than a CI value threshold.
    Type: Application
    Filed: June 12, 2023
    Publication date: December 12, 2024
    Inventors: Xue Ying Zhang, Si Er Han, Jing Xu, Xiao Ming Ma, Wen Pei Yu, Jing James Xu, Jun Wang, Ji Hui Yang
  • Publication number: 20240400461
    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: August 13, 2024
    Publication date: December 5, 2024
    Inventors: Guodong Zhan, Xiaowei Wu, Xiao Ming He, Jennifer Y. Sun
  • Publication number: 20240378208
    Abstract: A computer-implemented method for analysis of data from multiple data sources and a computing system therefor is provided. The method includes receiving a query instance. The query instance may be processed to generate one or more relational query instances based, at least in part, on the query instance. The generated one or more relational query instances may be distributed among one or more nodes. Each of the generated one or more relational query instances may be processed by at least one node of the one or more nodes to extract data from at least one data source of multiple data sources in communication therewith corresponding to the one or more relational query instances. One or more insights may be generated based on the extracted data. The one or more insights generated may be stored in relevant cache to be retrieved therefrom.
    Type: Application
    Filed: January 5, 2022
    Publication date: November 14, 2024
    Inventors: Xiao-Ming Zhou, Tau Siang Tang, Eric Bonabeau
  • Patent number: 12124419
    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: Grant
    Filed: March 15, 2022
    Date of Patent: October 22, 2024
    Assignee: International Business Machines Corporation
    Inventors: Cheng Luo, Wen Wen Guo, Chu Yun Tong, Xiao Ming Hu, Miao Liu, Yi Xin Song
  • Publication number: 20240330331
    Abstract: Embodiments of the present disclosure provide systems and methods for transforming a text file with an existing syntax format to a syntax tree structure with a syntax convention extension based on defined field types and field characteristics. Embodiments of the present disclosure transform existing syntax knowledge to an extended convention syntax knowledge, creating the syntax tree structure with the syntax convention extension, to provide automated support for different applications and programs, and enabling programmatic querying, override and other use functions.
    Type: Application
    Filed: March 27, 2023
    Publication date: October 3, 2024
    Inventors: Yuan YUAN, Xing WEN, Xiao Zhen ZHU, Xiao Ming LIU, Shao Fei LI, Ming DONG, Shou Hua WANG
  • Publication number: 20240320543
    Abstract: Deploying machine learning models is provided. A new machine learning model is received for a given problem that corresponds to a service running in a container. A cluster of machine learning models of a plurality of clusters of machine learning models corresponding to the given problem is selected. A cluster performance score is determined for the cluster based on combining a model performance score of each machine learning model in the cluster in accordance with a corresponding weight of each machine learning model. It is determined whether the cluster performance score of the cluster is greater than a minimum cluster performance score threshold. The new machine learning model is added to the cluster to increase predictive accuracy for the given problem while the service is running without interruption in response to determining that the cluster performance score of the cluster is greater than the minimum cluster performance score threshold.
    Type: Application
    Filed: March 22, 2023
    Publication date: September 26, 2024
    Inventors: Bo Song, Dong Hai Yu, Jun Wang, Jiang Bo Kang, Yao Dong Liu, Xiao Ming Ma
  • Patent number: 12099628
    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: Grant
    Filed: May 3, 2022
    Date of Patent: September 24, 2024
    Assignee: International Business Machines Corporation
    Inventors: Jin Wang, Lei Gao, A Peng Zhang, Kai Li, Jun Wang, Xiao Ming Ma, Xin Feng Zhu, Geng Wu Yang
  • Patent number: 12098107
    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: Grant
    Filed: April 27, 2023
    Date of Patent: September 24, 2024
    Assignee: Applied Materials, Inc.
    Inventors: Guodong Zhan, Xiaowei Wu, Xiao Ming He, Jennifer Y. Sun
  • Patent number: 12086118
    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: Grant
    Filed: November 15, 2021
    Date of Patent: September 10, 2024
    Assignee: International Business Corporation Machines
    Inventors: Sheng Yan Sun, Shuo Li, Xiaobo Wang, Xiao Ming Ma
  • Publication number: 20240265021
    Abstract: A computing system for querying multiple data sources and method therefor is provided. The computing system may comprise one or more nodes in communication with at least one data source of the multiple data sources to access data therefrom. The computing system may further comprise a second node in communication with the one or more nodes. The second node may be configured to receive a query instance and process the query instance to generate one or more relational query instances. The one or more relational query instances may be distributed among the nodes to extract data from the at least one data source in communication therewith corresponding to the respective one or more relational query instances. The second node may be further configured to receive extracted data from each of the one or more nodes queried. The second node may be further configured to aggregate the extracted data.
    Type: Application
    Filed: March 29, 2024
    Publication date: August 8, 2024
    Inventors: Stephen Brown, Xiao-Ming Zhou
  • Patent number: 12056622
    Abstract: A method for identifying influential effects that contribute most to a status change of a target index for goal seeking analysis. The method includes generating a candidate list of significant changed predictors between the normal and abnormal status time periods in collected data, and building a plurality of regression models from the collected data. The method determines a first value (trend value or Pearson correlation value) for each of the significant changed predictors based on whether at least one of the significant changed predictors have a significant change trend using the regression models. The method obtains a second predictor importance value for each of the significant changed predictors from a single model built on all the collected data. The method generates a final predictor value for each of the significant changed predictors by combining the first value with the second predictor importance value for each of the significant changed predictors.
    Type: Grant
    Filed: February 3, 2021
    Date of Patent: August 6, 2024
    Assignee: International Business Machines Corporation
    Inventors: Jing James Xu, Lei Gao, A Peng Zhang, Rui Wang, Si Er Han, Xiao Ming Ma
  • Patent number: 12056524
    Abstract: Performing predictive analysis on running batch jobs is provided. A series of batch end time predictive models is retrieved according to a sequence of milestone jobs in a batch of jobs. Retrieved batch end time predictive models are assembled into an aggregate batch end time predictive model to increase accuracy and stability of an end time prediction of the batch of jobs. The aggregate batch end time predictive model is utilized to predict an end time of the batch of jobs during running of the batch of jobs to form a predicted end time of the batch of jobs.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: August 6, 2024
    Assignee: International Business Machines Corporation
    Inventors: Jing Xu, Xue Ying Zhang, Xiao Ming Ma, Si Er Han, Ji Hui Yang
  • Publication number: 20240256637
    Abstract: A computer implemented method manages an ensemble model system to classify records. A number of processor units cluster records into groups of records based on classification predictions generated by base models in the ensemble model system for the records. The number of processor units determines sets of weights for the base models that increase a probability that the base models in the ensemble model system correctly predict the groups of records. Each set of weights in the sets of weights is associated with a group of records in the groups of records.
    Type: Application
    Filed: January 27, 2023
    Publication date: August 1, 2024
    Inventors: Si Er Han, Xue Ying Zhang, Jing Xu, Jing James Xu, Xiao Ming Ma, Wen Pei Yu, Jun Wang, Ji Hui Yang
  • Publication number: 20240232726
    Abstract: One or more computer processors create a respective coincidence matrix for each component model of a deployed ensemble model. The one or more computer processors generate evaluation measures for each component model comprised in the deployed ensemble model. The one or more computer processors responsive to the respective coincidence matrix failing to exceed a record threshold, update the respective coincidence matrix with the generated evaluation measures. The one or more computer processors responsive to the respective updated coincidence matrix failing to exceed a disable cut point, flag the respective component model. The one or more computer processors responsive to the coincidence matrix associated with the flagged component model not exceeding an elimination cut point, remove the respective component model from the deployed ensemble model.
    Type: Application
    Filed: January 11, 2023
    Publication date: July 11, 2024
    Inventors: Lei Tian, Han Zhang, Si Er Han, Jun Qi Zhang, Dong Hai Yu, Xiao Ming Ma
  • Publication number: 20240193830
    Abstract: In an approach for post-modeling data visualization and analysis, a processor presents a first visualization of a training dataset in a first plot. Responsive to receiving a selection of a data group of the training dataset to analyze, a processor identifies three or fewer key model features of the data group of the training dataset. A processor ascertains a representative record of each key model feature of the three or fewer key model features using a Local Interpretable Model-Agnostic Explanation technique. A processor presents a second visualization of the three or fewer key model features and the representative record of each key model feature in a second plot.
    Type: Application
    Filed: December 13, 2022
    Publication date: June 13, 2024
    Inventors: Wen Pei Yu, Xiao Ming Ma, Xue Ying Zhang, Si Er Han, Jing James Xu, Jing Xu, Jun Wang
  • Publication number: 20240169614
    Abstract: A method, computer system, and a computer program product are provided for post-modeling feature evaluation. In one embodiment, at least at least one post model visual output and associated data is obtained that at least includes an individual conditional expectation (ICE) plot and a partial dependence (PDP) plot. Using the associated data and the plots, a Feature Importance (PI) plot is provided. A plurality of features is then determined for each PI, PDP and ICE plots to calculate at least one Interesting Value for each plot. An overall score is also calculated for each plurality of features based on the associated Interesting Values for each PDP, ICE and PI plots. At least one top feature is selected based on said scores. A final plot is then generated at least reflecting the top feature. The final plot combines the PI, PDP and ICE plots together.
    Type: Application
    Filed: November 17, 2022
    Publication date: May 23, 2024
    Inventors: Xiao Ming Ma, Wen Pei Yu, Jing James Xu, Xue Ying Zhang, Si Er Han, Jing Xu, Jun Wang
  • Patent number: D1044493
    Type: Grant
    Filed: April 20, 2021
    Date of Patent: October 1, 2024
    Assignees: HONGFUJIN PRECISION ELECTRONICS (ZHENGZHOU) CO., LTD., HON HAI PRECISION INDUSTRY CO., LTD.
    Inventors: Eddy Liu, Jun Yan, Chih-Yuan Cheng, Wei-Da Yang, Jun Chen, Er-Wei Chen, Xiao-Ming Lv, Qi Feng, Shu-Fa Jiang, Zhe-Qi Zhao, Hsin-Ta Lin, Han Yang, Jun-Hui Zhang
  • Patent number: D1045595
    Type: Grant
    Filed: April 20, 2021
    Date of Patent: October 8, 2024
    Assignees: HONGFUJIN PRECISION ELECTRONICS (ZHENGZHOU) CO., LTD., HON HAI PRECISION INDUSTRY CO., LTD.
    Inventors: Eddy Liu, Jun Yan, Chih-Yuan Cheng, Wei-Da Yang, Jun Chen, Er-Wei Chen, Xiao-Ming Lv, Qi Feng, Shu-Fa Jiang, Zhe-Qi Zhao, Hsin-Ta Lin, Han Yang, Jun-Hui Zhang