Patents by Inventor Buyue Qian

Buyue Qian 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: 20150081378
    Abstract: Embodiments relate to a transactional risk daily limit (TRDL) update alarm. Customer data including historical transaction data and customer profile data is accessed, along with economic data from an external data source. A TRDL alarm analytics model is applied to the customer data and the economic data to predict a number of transactions in a specified time period that are expected to exceed a TRDL. The TRDL alarm analytics model takes into account a payment transaction pattern associated with the customer. A threshold value is compared to the number of transactions in the specified time period that are expected to exceed the TRDL. An increase in the TRDL is requested to be applied at least during the specified time period based on the number of transactions in the specified time period that are expected to exceed the TRDL being greater than the threshold value.
    Type: Application
    Filed: January 16, 2014
    Publication date: March 19, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081483
    Abstract: Embodiments relate to intraday cash flow optimization. Transactions are accessed on a business-to-business integration network from a plurality of sources linked with payment delivery system data from a financial service system. The transactions are associated with two or more compartmentalized entities. The transactions are characterizes based on the payment delivery system data and an analysis of customer profile data. The transactions associated with two or more compartmentalized entities are linked as integrated information based on the characterizing of the transactions. An intraday receivables prediction engine and an intraday payables prediction engine are applied to the integrated information to produce an estimation of intraday cash flow. The estimation of intraday cash flow is monitored relative to intraday operations optimization conditions. An alert is generated based on determining that at least one of the intraday operations optimization conditions is met.
    Type: Application
    Filed: January 15, 2014
    Publication date: March 19, 2015
    Applicant: International Business Machines Corporation
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081543
    Abstract: Embodiments relate to analytics driven assessment of transactional risk daily limit (TRDL) exceptions. A transaction that includes a request to make a payment from an account associated with a customer is received and it is determined that processing the payment will result in exceeding a TRDL. Customer data including historical transaction data and customer profile data associated with the customer is accessed by a processor. Economic data from an external data source is accessed via a network from an external data source. A TRDL exception assessment model is applied, by the processor, to the transaction, the customer data, and the economic data to generate an approval recommendation for the request and a confidence level associated with the approval recommendation.
    Type: Application
    Filed: September 16, 2013
    Publication date: March 19, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081482
    Abstract: Embodiments relate to analytics-driven automated reconciliation of financial transactions. External information is correlated with a plurality of financial transaction reconciliation exceptions associated with a sequence of financial transactions over a period of time. A plurality of causal factors is identified from the external information associated with a pattern of the financial transaction reconciliation exceptions. A plurality of more recent financial transactions is monitored for the causal factors. An exception prediction alert is issued based on identifying the causal factors in the more recent financial transactions prior to detecting a new financial transaction reconciliation exception associated with the more recent financial transactions.
    Type: Application
    Filed: January 15, 2014
    Publication date: March 19, 2015
    Applicant: International Business Machines Corporation
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081377
    Abstract: An aspect of product pricing includes classifying customers into groups based on shared, predefined characteristics and financial transactions, and identifying services rendered and available but not rendered. For each customer, a risk associated with a service is estimated; availability and prices of the service by third parties are determined; a price for the service set by the entity is compared with the prices set by the third parties; and a demand for the service of the entity is estimated as a function of the availability and prices of the service by the third parties. For each customer, a probability that the customer will purchase the service is estimated based on the demand, and a price for the service that is customized for the customer is calculated, as a function of the risk, the demand, and the probability of purchase, and in view of a target profit and/or target revenue.
    Type: Application
    Filed: September 16, 2013
    Publication date: March 19, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081563
    Abstract: Embodiments relate to privacy preserving content analysis. A recoverable hash operation is performed on text information to produce hashed text information in a business-to-business system. The business-to-business system includes a business-to-business transaction gateway coupled to a plurality of enterprise computer systems. A non-recoverable hash operation is performed on numerical information to produce hashed numerical information in the business-to-business system. The hashed text information and the hashed numerical information are provided from the business-to-business transaction gateway to an analytics engine to perform encrypted content analysis. The text information and the numerical information are provided from one of the enterprise computer systems as a producer system to another of the enterprise computer systems as a consumer system through the business-to-business transaction gateway.
    Type: Application
    Filed: September 16, 2013
    Publication date: March 19, 2015
    Applicant: International Business Machines Corporation
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081542
    Abstract: Embodiments relate to analytics driven assessment of transactional risk daily limits (TRDLs). Customer data that includes historical transaction data and customer profile data associated with a customer is accessed by a processor. Economic data from an external data source is accessed via a network. A TRDL assessment model is applied, by a processor, to the customer data and the economic data to generate a TRDL for the customer.
    Type: Application
    Filed: September 16, 2013
    Publication date: March 19, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081520
    Abstract: An aspect of product recommendation processes includes classifying customers into groups based on commonly shared, predefined characteristics and common financial transaction activities conducted. For each service offered, the product recommendation processes include estimating a cost of recommendation of the service; and estimating, for each of the customers in a group, a transaction risk of providing the service.
    Type: Application
    Filed: January 31, 2014
    Publication date: March 19, 2015
    Applicant: International Business Machines Corporation
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081564
    Abstract: Embodiments relate to privacy preserving content analysis. A recoverable hash operation is performed on text information to produce hashed text information in a business-to-business system. The business-to-business system includes a business-to-business transaction gateway coupled to a plurality of enterprise computer systems. A non-recoverable hash operation is performed on numerical information to produce hashed numerical information in the business-to-business system. The hashed text information and the hashed numerical information are provided from the business-to-business transaction gateway to an analytics engine to perform encrypted content analysis. The text information and the numerical information are provided from one of the enterprise computer systems as a producer system to another of the enterprise computer systems as a consumer system through the business-to-business transaction gateway.
    Type: Application
    Filed: January 15, 2014
    Publication date: March 19, 2015
    Applicant: International Business Machines Corporation
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20150081492
    Abstract: Embodiments relate to a transactional risk daily limit (TRDL) update alarm. Customer data including historical transaction data and customer profile data is accessed, along with economic data from an external data source. A TRDL alarm analytics model is applied to the customer data and the economic data to predict a number of transactions in a specified time period that are expected to exceed a TRDL. The TRDL alarm analytics model takes into account a payment transaction pattern associated with the customer. A threshold value is compared to the number of transactions in the specified time period that are expected to exceed the TRDL. An increase in the TRDL is requested to be applied at least during the specified time period based on the number of transactions in the specified time period that are expected to exceed the TRDL being greater than the threshold value.
    Type: Application
    Filed: September 16, 2013
    Publication date: March 19, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JoAnn P. Brereton, Arun Hampapur, Hongfei Li, Robin Lougee, Buyue Qian
  • Publication number: 20140200952
    Abstract: An aspect of scalable rule logicalization for asset health management includes aggregating data, via a computer processing device, from data sources, extracting a set of features from the data, projecting the features to a lower dimensional space, generating a prediction based on the projecting, logicalizing a decision boundary for the prediction, and estimating a confidence level of the prediction based on the decision boundary.
    Type: Application
    Filed: August 8, 2013
    Publication date: July 17, 2014
    Applicant: International Business Machines Corporation
    Inventors: Arun Hampapur, Hongfei Li, Dhaivat P. Parikh, Buyue Qian
  • Publication number: 20140200872
    Abstract: An aspect of an online learning system includes collecting data, via a computer processing device, from a plurality of data sources including multiple disparate detectors, the data including at least one of historical alarm data, failures, maintenance records, and environment observations. The data is stored in tables each corresponding to a subject of measurement. The online learning system also includes identifying common fields shared across the tables, merging at least a portion of the data across the tables having the common fields, and creating an integrated data model based on results of the merging.
    Type: Application
    Filed: April 30, 2013
    Publication date: July 17, 2014
    Applicant: International Business Machines Corporation
    Inventors: Dongping Fang, Arun Hampapur, Qing He, Hongfei Li, Zhiguo Li, Dhaivat P. Parikh, Buyue Qian
  • Publication number: 20140200873
    Abstract: An aspect of an online learning system includes collecting data, via a computer processing device, from a plurality of data sources including multiple disparate detectors, the data including at least one of historical alarm data, failures, maintenance records, and environment observations. The data is stored in tables each corresponding to a subject of measurement. The online learning system also includes identifying common fields shared across the tables, merging at least a portion of the data across the tables having the common fields, and creating an integrated data model based on results of the merging.
    Type: Application
    Filed: August 8, 2013
    Publication date: July 17, 2014
    Applicant: International Business Machines Corporation
    Inventors: Dongping Fang, Arun Hampapur, Qing He, Hongfei Li, Zhiguo Li, Dhaivat P. Parikh, Buyue Qian
  • Publication number: 20140200951
    Abstract: An aspect of scalable rule logicalization for asset health management includes aggregating data, via a computer processing device, from data sources, extracting a set of features from the data, projecting the features to a lower dimensional space, generating a prediction based on the projecting, logicalizing a decision boundary for the prediction, and estimating a confidence level of the prediction based on the decision boundary.
    Type: Application
    Filed: April 30, 2013
    Publication date: July 17, 2014
    Applicant: International Business Machines Corporation
    Inventors: Arun Hampapur, Hongfei Li, Dhaivat P. Parikh, Buyue Qian