Patents by Inventor Jihan Wei
Jihan Wei 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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Patent number: 11966859Abstract: In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.Type: GrantFiled: April 28, 2023Date of Patent: April 23, 2024Assignee: Capital One Services, LLCInventors: Tanveer Faruquie, Aman Jain, Jihan Wei, Amir Reza Rahmani, Christopher Johnson
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Patent number: 11934415Abstract: In order to facilitate dynamic graphing of entity networks based on activity, systems and methods include a processor receiving entity-specific data records and a plurality of entity-related activity records for a plurality of entities, where each entity-specific activity record includes activity data regarding at least one activity associated with an entity. The processor generates graph nodes for an entity activity graph based on the plurality of entity-specific data records, where each graph node of the plurality of graph nodes represents the particular entity and then generating an activity data structure, including the graph nodes and edges between the graph nodes, where the edges represent characteristics of the activities between graph nodes based on the entity-related activity record.Type: GrantFiled: June 7, 2022Date of Patent: March 19, 2024Assignee: Capital One Services, LLCInventors: Aman Jain, Tanveer Afzal Faruquie, Christopher J. Johnson, Jihan Wei
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Publication number: 20230267348Abstract: In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.Type: ApplicationFiled: April 28, 2023Publication date: August 24, 2023Inventors: Tanveer Faruquie, Aman Jain, Jihan Wei, Amir Reza Rahmani, Christopher Johnson
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Patent number: 11640545Abstract: In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.Type: GrantFiled: November 15, 2021Date of Patent: May 2, 2023Assignee: Capital One Services, LLCInventors: Tanveer Faruquie, Aman Jain, Jihan Wei, Amir Reza Rahmani, Christopher Johnson
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Publication number: 20220300523Abstract: In order to facilitate dynamic graphing of entity networks based on activity, systems and methods include a processor receiving entity-specific data records and a plurality of entity-related activity records for a plurality of entities, where each entity-specific activity record includes activity data regarding at least one activity associated with an entity. The processor generates graph nodes for an entity activity graph based on the plurality of entity-specific data records, where each graph node of the plurality of graph nodes represents the particular entity and then generating an activity data structure, including the graph nodes and edges between the graph nodes, where the edges represent characteristics of the activities between graph nodes based on the entity-related activity record.Type: ApplicationFiled: June 7, 2022Publication date: September 22, 2022Inventors: Aman Jain, Tanveer Afzal Faruquie, Christopher J. Johnson, Jihan Wei
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Publication number: 20220277327Abstract: Systems and methods of the present disclosure enable distribution modelling and forecasting for populations and sub-populations of entities by employing a processor to receive a numerical data history for a population of entities, with the numerical data history including a series of activity-related quantity indices through time and the population of entities including sub-populations. The processor determines a combination of normal distributions approximating an index distribution for the sub-population of the entities based on the series of activity-related quantity indices, where the normal distributions are centered around a respective mean quantity value of a respective sub-population. The processor uses the normal distributions to eliminate simulations by using a Bayesian model to approximate an inferred index distribution for a particular sub-population. The processor determines at least one inferred statistical value based on the inferred index distribution.Type: ApplicationFiled: February 26, 2021Publication date: September 1, 2022Inventors: Peter Deng, Jihan Wei
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Patent number: 11360987Abstract: In order to facilitate dynamic graphing of entity networks based on activity, systems and methods include a processor receiving entity-specific data records and a plurality of entity-related activity records for a plurality of entities, where each entity-specific activity record includes activity data regarding at least one activity associated with an entity. The processor generates graph nodes for an entity activity graph based on the plurality of entity-specific data records, where each graph node of the plurality of graph nodes represents the particular entity and then generating an activity data structure, including the graph nodes and edges between the graph nodes, where the edges represent characteristics of the activities between graph nodes based on the entity-related activity record.Type: GrantFiled: April 2, 2020Date of Patent: June 14, 2022Assignee: Capital One Services, LLCInventors: Aman Jain, Tanveer Afzal Faruquie, Christopher J. Johnson, Jihan Wei
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Publication number: 20220076149Abstract: In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.Type: ApplicationFiled: November 15, 2021Publication date: March 10, 2022Inventors: Tanveer Faruquie, Aman Jain, Jihan Wei, Amir Reza Rahmani, Christopher Johnson
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Patent number: 11176468Abstract: In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.Type: GrantFiled: May 29, 2020Date of Patent: November 16, 2021Assignee: Capital One Services, LLCInventors: Tanveer Faruquie, Aman Jain, Jihan Wei, Amir Reza Rahmani, Christopher Johnson
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Publication number: 20210311952Abstract: In order to facilitate dynamic graphing of entity networks based on activity, systems and methods include a processor receiving entity-specific data records and a plurality of entity-related activity records for a plurality of entities, where each entity-specific activity record includes activity data regarding at least one activity associated with an entity. The processor generates graph nodes for an entity activity graph based on the plurality of entity-specific data records, where each graph node of the plurality of graph nodes represents the particular entity and then generating an activity data structure, including the graph nodes and edges between the graph nodes, where the edges represent characteristics of the activities between graph nodes based on the entity-related activity record.Type: ApplicationFiled: April 2, 2020Publication date: October 7, 2021Inventors: Aman Jain, Tanveer Afzal Faruquie, Christopher J. Johnson, Jihan Wei
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Publication number: 20210142191Abstract: In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.Type: ApplicationFiled: May 29, 2020Publication date: May 13, 2021Inventors: Tanveer Faruquie, Aman Jain, Jihan Wei, Amir Reza Rahmani, Christopher Johnson
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Patent number: 10713577Abstract: In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.Type: GrantFiled: November 8, 2019Date of Patent: July 14, 2020Assignee: Capital One Services, LLCInventors: Tanveer Faruquie, Aman Jain, Jihan Wei, Amir Reza Rahmani, Christopher Johnson