Patents by Inventor Xiao Tian

Xiao Tian 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).

  • Patent number: 12380454
    Abstract: Provided are a method, system, and computer program product for generating synthetic data. The method includes generating a correlation graph of a plurality of data types based on a plurality of correlations. The method also includes generating a directed acyclic graph of the plurality of data types based on the correlation graph. The method further includes traversing the directed acyclic graph to produce a hierarchical graph of the plurality of data types, wherein the hierarchical graph includes a plurality of nodes, and wherein each node of the plurality of nodes is associated with a data type of the plurality of data types. The method further includes generating synthetic training data including a plurality of records of data by repeatedly traversing the hierarchical graph and based on a plurality of sets of values and a plurality of sets of interdependencies.
    Type: Grant
    Filed: March 20, 2023
    Date of Patent: August 5, 2025
    Assignee: Visa International Service Association
    Inventors: Xiao Tian, Jianhua Huang, Chiranjeet Chetia, Shi Cao, Marc Corbalan Vila, Claudia Carolina Barcenas Cardenas
  • Patent number: 12364651
    Abstract: Flexible, dissolvable, porous solid sheet articles which include direct-added microcapsules therein for delivering a benefit agent and a process for making such solid sheet articles.
    Type: Grant
    Filed: August 5, 2021
    Date of Patent: July 22, 2025
    Assignee: The Procter & Gamble Company
    Inventors: Dan Xu, Carl David MacNamara, Xiao Tian, HongSing Tan, Robert Wayne Glenn, Jr.
  • Patent number: 12354107
    Abstract: Methods, systems, and computer program products for learning continuous embedding space of real time payment (RTP) transactions are provided. A method may include receiving RTP data including a plurality of attributes, including a sender and a receiver. One attribute is selected as a target attribute. The remaining attributes are input into a first machine learning model (e.g., NLP model), comprising at least one embedding layer and one hidden layer, which is trained to predict the target attribute. After the model is trained, each of the remaining attributes are converted to a first vector using the at least one embedding layer of the machine learning model to form a first set of vectors. The first set of vectors are stored and subsequently input into a second machine learning model to perform at least one second task different than the first task.
    Type: Grant
    Filed: December 8, 2023
    Date of Patent: July 8, 2025
    Assignee: Visa International Service Association
    Inventors: Shi Cao, Xiao Tian, Chiranjeet Chetia
  • Publication number: 20250173205
    Abstract: A system and method for one-wire non-volatile memory are provided. The system comprises a one-wire communication interface coupled with a single-wire serial bus and a non-volatile memory to process data communication according to one-wire communication protocol. The one-wire communication interface comprises an interface controller, an internal clock oscillator, a first and a second state machine. The second state machine is driven by a first clock signal generated by the internal clock oscillator and is configured to process bit signal communicated on the serial bus via the interface controller. The first state machine is coupled to the second state machine, and is driven by a second clock signal defined by the falling edge of the data signal on the serial bus. The first state machine is configured to process byte information received from the second state machine.
    Type: Application
    Filed: March 20, 2024
    Publication date: May 29, 2025
    Inventor: Xiao Tian Zhang
  • Patent number: 12204612
    Abstract: Embodiments of the present disclosure provide systems and methods for implementing self-bias detection based on performance and importance. A disclosed computer implemented method aggregates continuous input data through a K-means clustering algorithm to reduce the number of aggregated sub-group data pairs, enabling a reduced calculation time for computing bias and enhanced performance. The self-bias detection identifies a scale factor and a balance factor of aggregated sub-group data pairs, which indicate the importance of the detected bias.
    Type: Grant
    Filed: June 28, 2023
    Date of Patent: January 21, 2025
    Assignee: International Business Machines Corporation
    Inventors: Ze Ming Zhao, Peng Hui Jiang, Xiao Tian Xu, Wenjing Liao, Zhi E. Zhang
  • Publication number: 20250005107
    Abstract: Embodiments of the present disclosure provide systems and methods for implementing self-bias detection based on performance and importance. A disclosed computer implemented method aggregates continuous input data through a K-means clustering algorithm to reduce the number of aggregated sub-group data pairs, enabling a reduced calculation time for computing bias and enhanced performance. The self-bias detection identifies a scale factor and a balance factor of aggregated sub-group data pairs, which indicate the importance of the detected bias.
    Type: Application
    Filed: June 28, 2023
    Publication date: January 2, 2025
    Inventors: Ze Ming ZHAO, Peng Hui JIANG, Xiao Tian XU, Wenjing LIAO, Zhi E. ZHANG
  • Publication number: 20240403181
    Abstract: A computer-implemented method, a system and a computer program product for device failure detection are disclosed. In the method, phase-based predictions may be performed on a plurality of storage devices to determine a plurality of sampling scopes and corresponding sampling ratios. The respective sampling scopes may comprise at least one storage device of the plurality of storage devices. A sampling dataset may be obtained by selecting a group of storage devices from the respective sampling scopes with the corresponding sampling ratios. Device failure may be detected for the group of storage devices based on the sampling dataset.
    Type: Application
    Filed: June 1, 2023
    Publication date: December 5, 2024
    Inventors: Fan Jing Meng, Hua Ye, Hong Xin Hou, Ze Ming Zhao, Xiao Tian Xu, Jin Chi He, Peng Li
  • Publication number: 20240305650
    Abstract: A method is disclosed. The method comprises receiving, by a server computer comprising an auto-encoder module, a first dataset containing first feature values corresponding to features of an interaction. The first dataset may be input into the auto-encoder module. The auto-encoder module may output a second dataset, the second dataset containing a second feature values corresponding to features of the interaction. The server computer may then compute a feature deviation dataset using the first dataset and the second dataset. The method can then comprise determining a type of activity based on the feature deviation dataset.
    Type: Application
    Filed: March 17, 2022
    Publication date: September 12, 2024
    Applicant: Visa International Service Association
    Inventors: Xiao Tian, Chiranjeet Chetia, Jianhua Huang
  • Publication number: 20240252702
    Abstract: Methods of manufacturing a light-activated powder are provided which provide solid-state generation and release of chlorine dioxide without detectable amounts of any toxic by-products such as chlorine gas, chlorites, or chlorates. The powder need not be exposed to moisture, relative humidity, or an acid before or during exposure of the powder to visible light to generate the gas. The powder can also be prepared under conditions that minimize or prevent decomposition or oxidation of sodium chlorite or premature light activation of the powder during the manufacturing process to maximize its activity.
    Type: Application
    Filed: April 11, 2024
    Publication date: August 1, 2024
    Applicant: Phiex Technologies, Inc.
    Inventors: Sumner Barenberg, Robert Cameron, Xiao Tian
  • Publication number: 20240256972
    Abstract: Methods and systems for quickly and accurately training machine learning models to perform tasks related to new contexts are disclosed, particularly new contexts for which there is little available training data. One or more source data sets can be divided into a plurality of source sub-sets, which can be used to train a plurality of source sub-models. From this plurality of source sub-models, an estimate parameter set can be determined. The estimate parameter set and a target data set (which may comprise a comparatively small number of data elements) can be used to train a target model to perform some task. In this way, the source data set can be leveraged to train the target model. Additionally disclosed is a novel method of generating color maps, image representations of non-image data. These color maps can be used to train the sub-models and target model, improving model performance.
    Type: Application
    Filed: May 27, 2022
    Publication date: August 1, 2024
    Applicant: VISA INTERNATIONAL SERVICE ASSOCIATION
    Inventors: Xiao Tian, Chiranjeet Chetia, Yuege Xie
  • Patent number: 12006410
    Abstract: This provides a flexible, porous, dissolvable solid sheet article having large pores on its top surface as well as a method of making the same.
    Type: Grant
    Filed: November 23, 2020
    Date of Patent: June 11, 2024
    Assignee: The Procter & Gamble Company
    Inventors: Carl David Mac Namara, Hongsing Tan, Robert Wayne Glenn, Jr., Xiao Tian
  • Publication number: 20240158590
    Abstract: This provides a flexible, porous, dissolvable solid sheet article having large pores on its top surface as well as a method of making the same.
    Type: Application
    Filed: January 23, 2024
    Publication date: May 16, 2024
    Inventors: Carl David MAC NAMARA, Hongsing TAN, Robert Wayne GLENN, JR., Xiao TIAN
  • Patent number: 11957805
    Abstract: Methods of manufacturing a light-activated powder are provided which provide solid-state generation and release of chlorine dioxide without detectable amounts of any toxic by-products such as chlorine gas, chlorites, or chlorates. The powder need not be exposed to moisture, relative humidity, or an acid before or during exposure of the powder to visible light to generate the gas. The powder can also be prepared under conditions that minimize or prevent decomposition or oxidation of sodium chlorite or premature light activation of the powder during the manufacturing process to maximize its activity.
    Type: Grant
    Filed: February 22, 2022
    Date of Patent: April 16, 2024
    Assignee: Phiex Technologies, Inc.
    Inventors: Sumner Barenberg, Robert Cameron, Xiao Tian
  • Publication number: 20240104573
    Abstract: Methods, systems, and computer program products for learning continuous embedding space of real time payment (RTP) transactions are provided. A method may include receiving RTP data including a plurality of attributes, including a sender and a receiver. One attribute is selected as a target attribute. The remaining attributes are input into a first machine learning model (e.g., NLP model), comprising at least one embedding layer and one hidden layer, which is trained to predict the target attribute. After the model is trained, each of the remaining attributes are converted to a first vector using the at least one embedding layer of the machine learning model to form a first set of vectors. The first set of vectors are stored and subsequently input into a second machine learning model to perform at least one second task different than the first task.
    Type: Application
    Filed: December 8, 2023
    Publication date: March 28, 2024
    Inventors: Shi Cao, Xiao Tian, Chiranjeet Chetia
  • Publication number: 20240086926
    Abstract: Provided is a computer-implemented method for generating synthetic graphs that simulate real-time payment transactions that includes generating a base payment graph includes a plurality of nodes and a plurality of edges connecting the plurality of nodes, wherein each node represents an entity and each edge represents a probability that a real-time-payment transaction may be conducted involving two entities that are connected by the edge, wherein the real-time payment transaction is artificially created, generating a plurality of dynamic payment graphs based on the base payment graph, inserting patterns representing adversarial activity into the plurality of dynamic payment graphs, and performing an action associated with a machine learning technique using the plurality of dynamic payment graphs. Systems and computer program products are also provided.
    Type: Application
    Filed: January 19, 2022
    Publication date: March 14, 2024
    Inventors: Xiao Tian, Mahashweta Das, Chiranjeet Chetia
  • Publication number: 20240041044
    Abstract: Methods of manufacturing a moisture-activated powder are provided which provide generation and release of chlorine dioxide without detectable amounts of any toxic by-products such as chlorine gas, chlorites, or chlorates. The powder need not be exposed to light before or during exposure of the powder to moisture or relative humidity to generate the gas. The powder can also be prepared under conditions that minimize or prevent decomposition or oxidation of sodium chlorite or premature moisture activation of the powder during the manufacturing process to maximize its activity.
    Type: Application
    Filed: August 5, 2022
    Publication date: February 8, 2024
    Applicant: Phiex Technologies, Inc.
    Inventors: Sumner Barenberg, Robert Cameron, Xiao Tian
  • Publication number: 20240046097
    Abstract: A computer-implemented method for compressing a machine learning model includes converting an input machine learning model into a standard machine learning model. The method further includes converting the standard machine learning model into a plurality of pruned machine learning models, each of the pruned machine learning models converted using a corresponding pruning ratio from a pruning ratio candidate list. The method further includes determining, for each of the pruned machine learning models, a size-to-error ratio. The method further includes selecting, based on the size-to-error ratio of the pruned machine learning models, a first pruning ratio from the pruning ratio candidate list. The method further includes generating a compressed machine learning model by compressing the input machine learning model using the first pruning ratio that is selected. The method further includes deploying the compressed machine learning model for production.
    Type: Application
    Filed: August 5, 2022
    Publication date: February 8, 2024
    Inventors: De Gao Chu, Lin Dong, Xiao Tian Xu, Xue Yin Zhuang
  • Patent number: 11847654
    Abstract: Methods, systems, and computer program products for learning continuous embedding space of real time payment (RTP) transactions are provided. A method may include receiving RTP data including a plurality of attributes, including a sender and a receiver. One attribute is selected as a target attribute. The remaining attributes are input into a first machine learning model (e.g., NLP model), comprising at least one embedding layer and one hidden layer, which is trained to predict the target attribute. After the model is trained, each of the remaining attributes are converted to a first vector using the at least one embedding layer of the machine learning model to form a first set of vectors. The first set of vectors are stored and subsequently input into a second machine learning model to perform at least one second task different than the first task.
    Type: Grant
    Filed: September 30, 2021
    Date of Patent: December 19, 2023
    Assignee: Visa International Service Association
    Inventors: Shi Cao, Xiao Tian, Chiranjeet Chetia
  • Publication number: 20230385925
    Abstract: Provided are a system, method, and computer program product for network anomaly detection. The method includes determining a plurality of nested groups based on event data associated with a plurality of communications in a computer network. The method also includes generating display data configured to cause a display of a computing device to show a first graphical representation of the event data including a plurality of nested graphical nodes. The method further includes receiving new event data associated with a plurality of new communications in the computer network in a subsequent time period and generating new display data configured to cause the display to show a new graphical representation of the new event data. The method further includes determining an anomalous graphical node based at least partly on a size of the anomalous graphical node being increased in the new graphical representation relative to the first graphical representation.
    Type: Application
    Filed: August 14, 2023
    Publication date: November 30, 2023
    Inventors: Xiao Tian, Chiranjeet Chetia, Jianhua Huang, Marc Corbalan Vila, Francisco Cardona Lema, Stuart Mark Williams
  • Patent number: D1043748
    Type: Grant
    Filed: June 30, 2023
    Date of Patent: September 24, 2024
    Inventors: Xiao Yu Zhu, Yang Lv, Xiao Tian Bao