Patents by Inventor Qin Yu

Qin Yu 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: 20230169389
    Abstract: A computer implement method for domain adaptation. According to the method, training data from a target domain may be classified by using a group of source models of a source domain, where each of the source models is trained to classify data from the source domain. A first pseudo label indicating a category of the training data may be generated by aggregating classification results of the source models based on respective weights of the source models on predetermined data categories. A target model of the target domain may be trained based on the training data and the first pseudo label and the second pseudo label, where the target model is trained to classify data from the target domain.
    Type: Application
    Filed: November 30, 2021
    Publication date: June 1, 2023
    Inventors: Yuan Zhou, Yi Qin Yu
  • Publication number: 20230040613
    Abstract: A dual hand-held shower head assembly includes a water supply pipe, a pipe joint, a water input tube, a button switch valve body, a first water output tube, a second water output tube, a first hand-held shower head, and a second hand-held shower head. The pipe joint has a first water inlet end, a first water input nozzle, a first water output nozzle, and a first water outlet end. The button switch valve body has a second water input nozzle, a second water output nozzle, and a second water outlet end. One side of the button switch valve body is fixedly connected to a suction cup assembly or a double-sided tape assembly.
    Type: Application
    Filed: August 3, 2021
    Publication date: February 9, 2023
    Inventors: Qin Yu, Haibo Hong
  • Patent number: 11574323
    Abstract: Methods and systems for processing financial market data. An electronic communication to be taken in response to detecting a market condition can be defined. Market data can be received. The market condition can be detected. An order to make a trade in a market based on the market condition can be accepted.
    Type: Grant
    Filed: January 30, 2020
    Date of Patent: February 7, 2023
    Assignee: XIGNITE, INC.
    Inventors: Albert Shih-Po Chang, Vijay Choudhary, Pooya Soleimany Nezhadian, Qin Yu
  • Patent number: 11514348
    Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.
    Type: Grant
    Filed: September 6, 2019
    Date of Patent: November 29, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jing Li, Xiang Li, Haifeng Liu, Guo Tong Xie, Yi Qin Yu, Shi Lei Zhang
  • Publication number: 20220359075
    Abstract: This disclosure relates to a method, a system and a computer program product for synthesizing risk prediction models to generate a generalized risk prediction model for a particular disease. The method comprises retrieving a plurality of literatures from one or more databases. Each of the plurality of literatures defines a risk prediction model for a same disease. The method further comprises extracting study features from each of the plurality of literatures. The method further comprises extracting weights of risk factors in the risk prediction model defined by each of the plurality of literatures from the plurality of literatures. The method further comprises calculating adjusted weights of risk factors based on the extracted study features and the extracted weights of risk factors, to form an adjusted risk prediction model.
    Type: Application
    Filed: May 10, 2021
    Publication date: November 10, 2022
    Inventors: Ze Fang Tang, Yuan Zhang, Yi Qin Yu, Jing Mei
  • Patent number: 11410757
    Abstract: Systems, computer-implemented methods and/or computer program products that facilitate providing treatment suggestions are described herein. In one example, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, treatment directed graphs associated with a plurality of treatment regimens, wherein, in connection with generating respective treatment directed graphs, penalties are applied during weighting of respective regimens as a function of an associated confidence level; identifying a treatment directed graph that corresponds to the patient directed graph; and outputting a set of treatment suggestions associated with the treatment directed graph that corresponds to the patient directed graph.
    Type: Grant
    Filed: October 30, 2017
    Date of Patent: August 9, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Xiang Li, Hai Feng Liu, Guo Tong Xie, Yi Qin Yu, Ping Zhang
  • Publication number: 20220180200
    Abstract: Aspects of the invention include methods and systems that include obtaining a source domain dataset. The source domain dataset includes corresponding labels, and the source domain dataset and the corresponding labels are associated with training a source domain machine learning model. A method includes obtaining a target domain dataset without corresponding labels and a feature vector that identifies features in the source domain dataset and the target domain dataset. The method also includes obtaining a set of loss terms from known machine learning models that implement a domain adversarial neural network (DANN) architecture. The DANN architecture includes feed-forward propagation and backpropagation. A target domain machine learning model is obtained based on the source domain dataset, the target domain dataset, the feature vector, and the set of loss terms and without labels for the target domain dataset to perform training.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 9, 2022
    Inventors: Yi Qin Yu, Chao Xue, Shiwan Zhao
  • Patent number: 11354588
    Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.
    Type: Grant
    Filed: September 6, 2019
    Date of Patent: June 7, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jing Li, Xiang Li, Haifeng Liu, Guo Tong Xie, Yi Qin Yu, Shi Lei Zhang
  • Patent number: 11331687
    Abstract: A shower fixing device includes a switching valve and a shower head fixing device. The shower head fixing device includes a connecting and fixing piece having a wrench structure and a shower head connecting mechanism detachably coupled to a shower head. The shower head connecting mechanism is fixedly connected to the connecting and fixing piece, and the connecting and fixing piece is detachably coupled to a locking nut of the switching valve.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: May 17, 2022
    Inventor: Qin Yu
  • Publication number: 20220143630
    Abstract: The present disclosure discloses a shower head with a spray gun function and relates to the technical field of bathroom products. The shower head includes a shower head shell, the shower head shell, a surface cover water-outflowing body and a water distribution mechanism, and a hollow installing inner cavity is formed by the surface cover water-outflowing body and the shower head shell. By adopting the above technical solution, the present disclosure has functions of spray gun water outflowing and shower head water outflowing, water outflowing is switched by pressing a button, and thus the shower head is convenient to use and more suitable for meeting using demands of a consumer.
    Type: Application
    Filed: January 24, 2022
    Publication date: May 12, 2022
    Inventors: Haibo HONG, Qin YU, Jing GUO
  • Publication number: 20220130499
    Abstract: Aspects of the invention include a computer-implemented method including extracting a domain-specific object feature from a first image data, wherein the feature describes an object in the first image data. A domain-specific semantic meaning of text data is determined. The object feature is mapped to a portion of the text data, wherein the portion of the text data describes the object. A joint representation of the object and the portion of the text data is created. A second image data and a query directed towards an object in the second image data is received. An answer to the query is generated based on the joint representation.
    Type: Application
    Filed: October 28, 2020
    Publication date: April 28, 2022
    Inventors: Yuan Zhou, Jing Mei, Shiwan Zhao, Yi Qin Yu, Xu Min, Yan Fei Wang
  • Publication number: 20220093259
    Abstract: A method, a system and a computer program product may evaluate reduction of disease risk. Patient data of a patient may be received. A selection of a disease outcome may be received. A risk score that the patient will experience the selected disease outcome may be determined. The determining may use the patient data. Intervention options may be generated based on the patient data and by accessing a medical record data structure. An intervention effect for each of the intervention options may be determined. The intervention effect may change the risk score. The intervention effects may be compared. A recommendation of at least one of the intervention options may be provided based on the comparing of the intervention effects.
    Type: Application
    Filed: September 24, 2020
    Publication date: March 24, 2022
    Inventors: Jing Li, Jing Mei, Yi Qin Yu, Jian Wang
  • Patent number: 11281801
    Abstract: A system for decentralized privacy-preserving clinical data evaluation includes a plurality of sites of a decentralized private network, a memory device for storing program code, and at least one processor device operatively coupled to the memory device and configured to execute program code stored on the memory device to, for each of the local datasets, evaluate the local dataset using each of the local models to obtain one or more features related to a degree of outlierness, determine at least one outlier dataset based on the one or more features, and implement one or more actions based on the determination.
    Type: Grant
    Filed: January 2, 2019
    Date of Patent: March 22, 2022
    Assignee: International Business Machines Corporation
    Inventors: Sui Jun Tong, Wen Sun, Yi Qin Yu, Eryu Xia, Yong Qin
  • Patent number: 11281721
    Abstract: Techniques for augmenting relational databases with graph database capabilities are described. A graph database query requesting data from a graph database is received. The graph database includes a plurality of vertices and a plurality of edges. The graph database query is translated into a relational database query using one or more computer processors. The relational database query references a vertex table and an edge table in a relational database. Result data corresponding with the graph database query is retrieved from the relational database by executing the relational database query against the relational database.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: March 22, 2022
    Assignee: International Business Machines Corporation
    Inventors: Sui Jun Tong, Wen Sun, Yi Qin Yu, Eryu Xia, Yong Qin
  • Publication number: 20220073875
    Abstract: This disclosure provides, among other things, amplifiable nucleic acid constructs for expressing a gene of interest in a cell, e.g., an erythroid cell. The amplifiable nucleic acid construct may contain the gene of interest and an RNA-dependent RNA polymerase (RdRP)-responsive 5? UTR, and may optionally further contain an RdRP-responsive 3? UTR. RdRP may also be provided, e.g., on the same construct or a different construct.
    Type: Application
    Filed: November 18, 2021
    Publication date: March 10, 2022
    Applicant: Rubius Therapeutics, Inc.
    Inventors: Qin Yu, Urjeet Khanwalkar, Omid Harandi, Ewan Dunn, Tanyaporn Pattarabanjird, Avak Kahvejian, Jordi Mata-Fink
  • Publication number: 20220067433
    Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for domain adaptation. According to the method, a source model of a source domain is obtained, where the source model is trained to generate a label indicating a predicted category of data from the source domain. A training sample from a target domain is obtained, where the training sample comprises training data from the target domain and a true label indicating a true category of the training data from the target domain. A first label is generated for the training data by using the source model. The first label indicates a predicted category of the training data. A target model of the target domain is trained based on the training data, the true label and the first label.
    Type: Application
    Filed: August 26, 2020
    Publication date: March 3, 2022
    Inventors: YI QIN YU, Shiwan Zhao, Jing Mei, Shao Chun Li, Xu Min
  • Publication number: 20220036981
    Abstract: The present disclosure relates to a method, system and computer program product for electronic health record (EHR) data synthetization. According to the method, an original EHR dataset X is captured. A latent space Z is generated from the original EHR dataset X, wherein dimensionality of Z is lower than that of X. A stochastic process prior module is applied to the latent space Z. Synthetic EHR dataset X? is reconstructed from the latent space Z after being applied with the stochastic process prior.
    Type: Application
    Filed: July 29, 2020
    Publication date: February 3, 2022
    Inventors: Xu Min, Yi Qin Yu, Jing Mei, Yuan Zhou, Shao Chun Li
  • Patent number: D963794
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: September 13, 2022
    Assignee: Xiamen Prime Shower Co., Ltd
    Inventors: Haibo Hong, Qin Yu, Jing Guo
  • Patent number: D967333
    Type: Grant
    Filed: January 6, 2022
    Date of Patent: October 18, 2022
    Assignee: Xiamen Prime Shower Co., Ltd
    Inventors: Jing Guo, Qin Yu, Haibo Hong
  • Patent number: D975241
    Type: Grant
    Filed: April 20, 2022
    Date of Patent: January 10, 2023
    Assignee: Xiamen Prime Shower Co., Ltd
    Inventors: Jing Guo, Qin Yu, Haibo Hong