Patents by Inventor James Xu
James Xu 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).
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Publication number: 20230367689Abstract: 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: ApplicationFiled: May 15, 2022Publication date: November 16, 2023Inventors: Jing Xu, Xue Ying Zhang, Si Er Han, Jing James Xu, Xiao Ming Ma, Jun Wang, Wen Pei Yu
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Publication number: 20230367782Abstract: A system for interfacing with a meta-database representing data from a plurality of source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from a source interface, compresses the data, and synchronizes the data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.Type: ApplicationFiled: May 12, 2022Publication date: November 16, 2023Applicant: Truist BankInventors: Peter Councill, Kenneth William Cluff, Glenn Thomas Nofsinger, James Xu, Qing Li
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Publication number: 20230345984Abstract: The present disclosure relates, at least in part, to compositions (e.g., formulations) comprising a steviol glycoside, Rebaudioside M (Reb M), combined with brazzein that have improved caloric profile as well as flavor, taste and/or mouthfeel. In some embodiments, the composition further comprises one or more additional sweeteners.Type: ApplicationFiled: March 22, 2023Publication date: November 2, 2023Applicant: Sweegen,IncInventors: Casey McCormick, Jenise Pratt, Daria Agnieszka Nalewajek, Orrany Chayasing, James Xu
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Publication number: 20230341999Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.Type: ApplicationFiled: July 28, 2022Publication date: October 26, 2023Applicant: Truist BankInventors: Kenneth William Cluff, Harold Thomas Wood, III, Peter Councill, James Xu
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Publication number: 20230341998Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.Type: ApplicationFiled: April 26, 2022Publication date: October 26, 2023Applicant: Truist BankInventors: Kenneth William Cluff, Harold Thomas Wood, III, Peter Councill, James Xu
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Publication number: 20230342012Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.Type: ApplicationFiled: April 26, 2022Publication date: October 26, 2023Applicant: Truist BankInventors: Kenneth William Cluff, Harold Thomas Wood, III, Peter Councill, James Xu
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Publication number: 20230306312Abstract: 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: ApplicationFiled: March 21, 2022Publication date: September 28, 2023Inventors: Xiao Ming Ma, Si Er Han, Xue Ying Zhang, Wen Pei Yu, Jing Xu, Jing James Xu, Lei Gao, A Peng Zhang
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Publication number: 20230289693Abstract: 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: ApplicationFiled: March 14, 2022Publication date: September 14, 2023Inventors: Wen Pei Yu, Xiao Ming Ma, Xue Ying Zhang, Si Er Han, Jing James Xu, Jing Xu, Rui Wang, Jun Wang, Ji Hui Yang
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Patent number: 11748436Abstract: In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.Type: GrantFiled: September 23, 2021Date of Patent: September 5, 2023Assignee: International Business Machines CorporationInventors: Jun Wang, Xue Ying Zhang, Song Bo, Dong Hai Yu, Jing James Xu
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Patent number: 11741130Abstract: An embodiment includes parsing conversation data to extract a message dataset and a user dataset. The embodiment classifies the message dataset into a category using machine learning processing and identifies the category as a top category based at least in part on an amount of the conversation data associated with the category. The embodiment generates impact data associated with the user dataset based on actions in the conversation data by the user. The embodiment generates role data associated with the user by applying a rule to the conversation data for the user. The embodiment generates key index data associated with the message dataset by identifying interactions with a message represented by the message dataset. The embodiment generates output data arranged according to a specified data format that is compatible with a user interface.Type: GrantFiled: August 16, 2021Date of Patent: August 29, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jing James Xu, Ji Hui Yang, Jing Xu, Lei Gao, Si Er Han, Xue Ying Zhang
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Patent number: 11727312Abstract: 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: GrantFiled: September 3, 2019Date of Patent: August 15, 2023Assignee: International Business Machines CorporationInventors: Xue Ying Zhang, Jing Xu, Xiao Ming Ma, Jing James Xu, Ying Xu, Ang Chang
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Publication number: 20230251760Abstract: Using a set of menu to key process mappings, historical menu usage data for an application is aggregated into aggregated key process usage data. A set of key process association rules, each comprising a consequent key process given a particular antecedent key process, is generated. From the set of key process association rules and a set of ranked menus by frequency of usage within each key process, a set of model menu recommendations is generated. According to an application usage history, a menu frequency ratio, and a confidence value of a modelled next menu, the set of menu recommendations is scored. A scored menu recommendation having a rank below a threshold rank is pruned from a set of menu items of the application ranked according to their scores. The pruned set of scored menu recommendations is presented for selection instead of the set of menu items.Type: ApplicationFiled: April 21, 2023Publication date: August 10, 2023Applicant: International Business Machines CorporationInventors: Long Fan, Yang Yang, Ye Fan, Juan Wu, Qi Mao, Jing James Xu
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Patent number: 11714527Abstract: Using a set of menu to key process mappings, historical menu usage data for an application is aggregated into aggregated key process usage data. A set of key process association rules, each comprising a consequent key process given a particular antecedent key process, is generated. From the set of key process association rules and a set of ranked menus by frequency of usage within each key process, a set of model menu recommendations is generated. According to an application usage history, a menu frequency ratio, and a confidence value of a modelled next menu, the set of menu recommendations is scored. A scored menu recommendation having a rank below a threshold rank is pruned from a set of menu items of the application ranked according to their scores. The pruned set of scored menu recommendations is presented for selection instead of the set of menu items.Type: GrantFiled: January 6, 2022Date of Patent: August 1, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Long Fan, Yang Yang, Ye Fan, Juan Wu, Qi Mao, Jing James Xu
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Publication number: 20230214088Abstract: Using a set of menu to key process mappings, historical menu usage data for an application is aggregated into aggregated key process usage data. A set of key process association rules, each comprising a consequent key process given a particular antecedent key process, is generated. From the set of key process association rules and a set of ranked menus by frequency of usage within each key process, a set of model menu recommendations is generated. According to an application usage history, a menu frequency ratio, and a confidence value of a modelled next menu, the set of menu recommendations is scored. A scored menu recommendation having a rank below a threshold rank is pruned from a set of menu items of the application ranked according to their scores. The pruned set of scored menu recommendations is presented for selection instead of the set of menu items.Type: ApplicationFiled: January 6, 2022Publication date: July 6, 2023Applicant: International Business Machines CorporationInventors: Long Fan, Yang Yang, Ye Fan, Juan Wu, Qi Mao, Jing James Xu
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Patent number: 11695646Abstract: Deep reinforcement learning is applied to self-orchestration in edge device computing for offloading within a spatial network community to reduce latency and bandwidth issues. A revised online policy gradient training algorithm based on importance sampling in addition to the use of DRL-based offloading provides for continued use of original sample training data. A request for help scheme supports edge-device cooperation among neighboring devices of the spatial network community by sharing edge device state information (EDSI) for governing task assignments.Type: GrantFiled: March 25, 2022Date of Patent: July 4, 2023Assignee: International Business Machines CorporationInventors: Hui Lin, Jun Yang, Jing James Xu, Yue Wang
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Patent number: 11688111Abstract: Systems, computer-implemented methods, and computer program products to facilitate visualization of a model selection process are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interaction backend handler component that obtains one or more assessment metrics of a model pipeline candidate. The computer executable components can further comprise a visualization render component that renders a progress visualization of the model pipeline candidate based on the one or more assessment metrics.Type: GrantFiled: July 29, 2020Date of Patent: June 27, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Dakuo Wang, Bei Chen, Ji Hui Yang, Abel Valente, Arunima Chaudhary, Chuang Gan, John Dillon Eversman, Voranouth Supadulya, Daniel Karl I. Weidele, Jun Wang, Jing James Xu, Dhavalkumar C. Patel, Long Vu, Syed Yousaf Shah, Si Er Han
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Publication number: 20230155916Abstract: A computer-implemented method, system and computer program product for accurately identifying an execution time of a performance test. Network latency data is grouped into clustered groups of network latency data. Furthermore, the performance test execution times for the same group of performance tests run in the local and remote cluster environments are obtained. The test execution times impacted by network latency (compensation times) are then determined based on such obtained performance test execution times in the local and remote cluster environments. Such compensation times are then grouped into clustered groups of compensation times. A regression model is built to predict a performance test execution time impacted by network latency (compensation time) using the clustered groups of network latency data and compensation times.Type: ApplicationFiled: November 10, 2022Publication date: May 18, 2023Inventors: Bo Shen, Yao Dong Liu, Jing James Xu, Lei Gao, Yan Liu
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Publication number: 20230125621Abstract: A computer-implemented method, system and computer program product for generating visualizations for semi-structured data. Visualization data is extracted from infographics depicting semi-structured data. The visualization data that is extracted includes the traits or characteristics of the semi-structured data depicted in the infographics (e.g., dimension), the characteristics of the infographics (e.g., location of the depicted data), and the constraints or display requirements (e.g., display target value in a particular axis). A trait and constraint rule set is then generated based on the extracted visualization data. The trait and constraint rule set includes a set of rules that maps the display requirements to the particular set of traits or characteristics exhibited by the semi-structured data displayed in the infographics.Type: ApplicationFiled: October 25, 2021Publication date: April 27, 2023Inventors: Wen Pei Yu, Ji Hui Yang, Xiao Ming Ma, Rui Wang, Jing James Xu
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Patent number: 11620582Abstract: Techniques regarding one or more automated machine learning processes that analyze time series data are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a time series analysis component that selects a machine learning pipeline for meta transfer learning on time series data by sequentially allocating subsets of training data from the time series data amongst a plurality of machine learning pipeline candidates.Type: GrantFiled: July 29, 2020Date of Patent: April 4, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Long Vu, Syed Yousaf Shah, Xuan-Hong Dang, Peter Daniel Kirchner, Si Er Han, Ji Hui Yang, Jun Wang, Jing James Xu, Dakuo Wang, Dhavalkumar C. Patel, Gregory Bramble, Horst Cornelius Samulowitz, Saket Sathe, Chuang Gan
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Publication number: 20230097330Abstract: In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.Type: ApplicationFiled: September 23, 2021Publication date: March 30, 2023Inventors: Jun Wang, Xue Ying Zhang, Song Bo, Dong Hai Yu, Jing James Xu