Patents by Inventor Hai Yu

Hai 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).

  • Patent number: 12346498
    Abstract: A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.
    Type: Grant
    Filed: April 4, 2024
    Date of Patent: July 1, 2025
    Assignee: Futurewei Technologies, Inc.
    Inventors: Hai Yu, Fatih Porikli, Yuzhu Wu
  • Publication number: 20250197905
    Abstract: Provided herein are methods for preparing a glycan product containing legionaminic acid moieties and other nonulosonic acids. Also provided herein are legionaminic acid transferase fusion proteins and vaccine compositions containing glycan products prepared according to the described methods.
    Type: Application
    Filed: March 20, 2023
    Publication date: June 19, 2025
    Inventors: Xi CHEN, Xiaohong YANG, Hai YU, Bijoyananda MISHRA
  • Publication number: 20250190846
    Abstract: A computer-implemented method for providing guidance on the use of machine learning tools is provided. Aspects include receiving, from a user, an input data set and a type of problem to solve based on the input data set and identifying a set of machine learning pipelines from a database comprising a plurality of machine learning pipelines. Aspects also include recommending, to the user, a first machine learning pipeline of the set of machine learning pipelines from the set of machine learning to the user, wherein each of the plurality of machine learning pipelines includes a pipeline score and wherein the first machine learning pipeline has a highest pipeline score of the set of machine learning pipelines and providing, to the user, a rule set associated with the first machine learning pipeline, wherein the rule set includes one or more suggested settings associated with the first machine learning pipeline.
    Type: Application
    Filed: December 6, 2023
    Publication date: June 12, 2025
    Inventors: Jun Wang, Si Er Han, Bo Song, Dong Hai Yu, Yao Dong Liu, Jiang Bo Kang
  • Patent number: 12315992
    Abstract: A metal mesh includes: first metal lines (11) and second metal lines (12) extending in crossed directions. The first metal lines (11) are arranged side by side in a first direction and extend in a second direction; the second metal lines (12) are arranged side by side in the first direction and extend in a third direction. Each first metal line (11) includes first sub-line segments sequentially connected together in the second direction, and each second metal line (12) includes second sub-line segments sequentially connected together in the third direction. Each first sub-line segment has a midpoint superposing with a midpoint of one of the second sub-line segments, the first and second sub-line segments having superposed midpoints form a crossed structure (10), and define two opposite first angles (?1) and two opposite second angles (?2). Each first angle (?1) is not greater than each second angle (?1).
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: May 27, 2025
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventors: Mengwen Jia, Hai Yu, Yafei Zhang, Yali Wang, Dongdong Zhang, Feng Qu
  • Publication number: 20250163091
    Abstract: New derivatives of human milk oligosaccharides and methods for preparing them are disclosed. Also described herein are hST6GALNAC V and hGCNT2-B variants, along with polynucleotides encoding the variants and host cells comprising the polynucleotides. Further provided herein are reaction mixtures comprising the hST6GALNAC V and hGCNT2-B variants.
    Type: Application
    Filed: January 19, 2023
    Publication date: May 22, 2025
    Inventors: Xi CHEN, Yuanyuan BAI, Hai YU, Libo ZHANG, Xiaoxiao YANG
  • Publication number: 20250148350
    Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to determining time series model stability and robustness in refreshment. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a computation component that can employ weighted model evaluation to compute stability of time series pipelines over respective holdout datasets and a determination component that can select, based on the computed pipeline stabilities, a most stable time series pipeline.
    Type: Application
    Filed: November 2, 2023
    Publication date: May 8, 2025
    Inventors: Jiang Bo Kang, Dong Hai Yu, Jun Wang, Yao Dong Liu, Bo Song, Xiao Ming Ma
  • Publication number: 20250124052
    Abstract: A computer-implemented method for generating an artificial data set is provided. Aspects include obtaining an input data set, calculating an association between the plurality of categorical variables of the input data set, and creating, based on the association, a plurality of clusters of categorical variables. Aspects also include identifying a key variable for each of the plurality of clusters of categorical variables, creating a key cluster for each of the plurality of clusters, and creating a cluster contingency table for each of the clusters. Aspects further include generating, based on the cluster contingency table for each of the plurality of clusters and for the key cluster, a data set for each of the plurality of clusters and the key cluster and generating the artificial data set based on a combination of the data set for each of the plurality of clusters and the key cluster.
    Type: Application
    Filed: October 12, 2023
    Publication date: April 17, 2025
    Inventors: Si Er Han, Xiao Ming Ma, Rui Wang, Jing James Xu, Jing Xu, Xue Ying Zhang, Lei Tian, Dong Hai Yu
  • Publication number: 20250111194
    Abstract: Systems, computer program products and/or computer-implemented methods described herein relate to a process to optimize performance of an operating neural network. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components, which can comprise an identification component that, employing an operating, multi-layered virtual computation module of looped neurons, identifies a first neuron of a first cluster of a first layer of the looped neurons as being an outlier neuron, an adjustment component that reassigns the outlier neuron from the first cluster to a second cluster of the first layer, and a scheduling component that, based on a dependency among layers of the multi-layered virtual computation module, including the first layer, adjusts a cross-layer functionality of the looped neurons for a workload currently being performed by the multi-layered virtual computation module.
    Type: Application
    Filed: September 28, 2023
    Publication date: April 3, 2025
    Inventors: Dong Hai Yu, Bo Song, Ji Hui Yang, Jun Wang, Yao Dong Liu, Jiang Bo Kang, Lei Tian
  • Patent number: 12242437
    Abstract: Systems and computer-implemented methods select a subset of methods to generate data schemas for input data from a list of methods for generating data schemas, based on output of a regression model; generate a candidate schema for each method in the subset of methods to generate data schemas; and generate a master data schema for the input data by merging the candidate schema for each method in the subset of methods to generate data schemas, utilizing predetermined rules.
    Type: Grant
    Filed: July 9, 2021
    Date of Patent: March 4, 2025
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yao Dong Liu, Jiang Bo Kang, Jun Wang, Dong Hai Yu, Song Bo
  • Patent number: 12231491
    Abstract: A method for forecasting server demand includes collecting a historical number of scoring requests from a network using a serverless architecture. A scoring request capacity per server is determined using the historical number of scoring requests. A prediction model predicts a first future value of scoring requests for a first future time span. A current number of servers in a pool of servers handling the scoring requests. Using the prediction model, a determination of whether the current number of servers is capable of handling the first future value of scoring requests for the first future time span is made. Upon determining that the current number of servers is incapable of handling the first future value of scoring requests, one or more additional servers are warmed up. The warmed-up additional servers are added to the pool of servers prior to an arrival of the first future time span.
    Type: Grant
    Filed: November 14, 2023
    Date of Patent: February 18, 2025
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bo Song, Jun Wang, Dong Hai Yu, Yao Dong Liu, Xiao Ming Ma, Jiang Bo Kang
  • Publication number: 20250054269
    Abstract: An approach is provided for generating feature data. The approach, for example, involves determining a set of break points associated with at least one road feature based on mask image data. The mask image data is associated with overhead image data comprising the at least one road feature. The approach further involves generating a set of cropped feature maps based on processing of a global feature map obtained from a global feature segmentation model and the set of break points. The global feature map is associated with the overhead image data. The approach further involves generating the feature data associated with the at least one road feature based on application of a local feature detection model on the generated set of cropped feature maps and the set of break points. The approach further involves storing the generated feature data in a geographic database.
    Type: Application
    Filed: August 9, 2023
    Publication date: February 13, 2025
    Inventors: Hai YU, Xiaoying JIN, Amey AROSKAR
  • Publication number: 20250047164
    Abstract: Improved cooling systems for handheld devices are disclosed. In some aspects, the cooling system may utilize air inlets disposed behind a guard to prevent debris or liquids from entering the handheld device and potentially causing damage to internal components of the handheld device. In aspects, a vents may be disposed on the guard to divert cooling air into a housing of the handheld device to cool internal components, such as the motor or a printed circuit board (PCB). In additional or alternative aspects, a motor mount may be provided that includes ribs defining air channels to divert or direct cooling air to components to be cooled. The air channels provided by the motor mount may enable the cooling air to reach portions of the internal components that may be distant from the air inlets of the housing.
    Type: Application
    Filed: June 16, 2021
    Publication date: February 6, 2025
    Inventors: Jin Cheng Li, Zheng Jun Wang, Dong Wei Li, Hai Yu Xu
  • Publication number: 20240409571
    Abstract: Described herein are novel stable 9-N-, 8-N-, and 7-N-acetyl analogues of instable 9-O-acetyl, 8-O-acetyl, and 7-O-acetyl b-series gangliosides and glycosphingosines, including GD3, GD2, GD1b, GT1b, GQ1b, and their glycosphingosines. Chemoenzymatic methods for the production of the stable 9-N-, 8-N-, and 7-N-acetyl analogues are also described herein.
    Type: Application
    Filed: April 4, 2024
    Publication date: December 12, 2024
    Applicant: The Regents of the University of California
    Inventors: Xi CHEN, Hai YU, Bijoyananda MISHRA, Zimin ZHENG, Anand Kumar AGRAHARI, Arin GUCCHAIT
  • Patent number: 12162901
    Abstract: The present invention provides N-acetyl derivatives of sialic acids, including N-acetyl derivatives of Neu5Ac and Neu5Gc. Methods for preparing related precursors and a variety of sialosides are also disclosed.
    Type: Grant
    Filed: September 30, 2021
    Date of Patent: December 10, 2024
    Assignee: The Regents of the University of California
    Inventors: Xi Chen, An Xiao, Anoopjit Kooner, Abhishek Santra, Ajit Varki, Hai Yu, Lee-Ping Wang, Wanqing Li
  • Patent number: 12153953
    Abstract: Mechanisms are provided for intelligently identifying an execution environment to execute a computing job. An execution time of the computing job in each execution environment of a plurality of execution environments is predicted by applying a set of existing machine learning models matching execution context information and key parameters of the computing job and execution environment information of the execution environment. The predicted execution time of the machine learning models is aggregated. The aggregated predicted execution times of the computing job are summarized for the plurality of execution environments. Responsive to a selection of an execution environment from the plurality of execution environments based on the summary of the aggregated predicted execution times of the computing job, the computing job is executed in the selected execution environment. Related data during the execution of the computing job in the selected execution environment is collected.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: November 26, 2024
    Assignee: International Business Machines Corporation
    Inventors: A Peng Zhang, Lei Gao, Jin Wang, Jing James Xu, Jun Wang, Dong Hai Yu
  • Publication number: 20240365474
    Abstract: A method for preparing a sensing device is provided, the method includes: forming, on a surface of a transparent substrate, a first auxiliary patterning layer having a trench; and forming a mesh structure in the trench of the first auxiliary patterning layer by means of an electroplating process, or forming a conductive layer in the trench of the first auxiliary patterning layer by means of an electroplating process and then etching the conductive layer to form a mesh structure. The mesh structure has a line width of less than or equal to 1.5 microns and a thickness of greater than or equal to 2 microns.
    Type: Application
    Filed: August 10, 2022
    Publication date: October 31, 2024
    Inventors: Fanli MENG, Shuo ZHANG, Zeyuan LI, Tuo SUN, Hai YU, Yanzhao LI
  • Patent number: 12130792
    Abstract: A computer implemented method for managing datasets for a histogram. The method uses a number of processor units to determine a first span for first bins containing first datapoints in a first dataset in the datasets. The first span is determined based a distribution of the first datapoints in the first dataset and a desired number of bins. The number of processor units adjusts a second span for second bins containing second datapoints in a second dataset in the datasets to form an adjusted span that matches the first span for the first bins. The number of processor units merges the first datapoints in the first bins having the first span with the second datapoints in the second bins having the adjusted span to form a merged dataset for the histogram.
    Type: Grant
    Filed: December 2, 2021
    Date of Patent: October 29, 2024
    Assignee: International Business Machines Corporation
    Inventors: Xing Wei, Xiao Bin Sun, Zhe Shao, Dong Hai Yu, Liu Zhen Duo, Chun Lei Xu
  • Patent number: 12126079
    Abstract: An antenna includes: a dielectric layer; a reference electrode layer on a first surface of the dielectric layer and with a slot therein; radiation structure on a second surface of the dielectric layer. The radiation structure includes a plurality of radiation parts spaced apart from each other, each of which includes radiation elements spaced apart from each other. The plurality of radiation parts in each radiation structure include first radiation part and a second radiation part; and a first microstrip line and a second microstrip line are on the second surface. The first microstrip line is configured to feed power to the radiation elements in the first radiation part, and the second microstrip line is configured to feed power to the radiation elements in the second radiation part. The first microstrip line has a feed direction different from that of the second microstrip line.
    Type: Grant
    Filed: March 15, 2021
    Date of Patent: October 22, 2024
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventors: Qianhong Wu, Dongdong Zhang, Hai Yu, Yafei Zhang, Feng Qu
  • Publication number: 20240329734
    Abstract: A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.
    Type: Application
    Filed: April 4, 2024
    Publication date: October 3, 2024
    Applicant: Futurewei Technologies, Inc.
    Inventors: Hai Yu, Fatih Porikli, Yuzhu Wu
  • Publication number: 20240320543
    Abstract: Deploying machine learning models is provided. A new machine learning model is received for a given problem that corresponds to a service running in a container. A cluster of machine learning models of a plurality of clusters of machine learning models corresponding to the given problem is selected. A cluster performance score is determined for the cluster based on combining a model performance score of each machine learning model in the cluster in accordance with a corresponding weight of each machine learning model. It is determined whether the cluster performance score of the cluster is greater than a minimum cluster performance score threshold. The new machine learning model is added to the cluster to increase predictive accuracy for the given problem while the service is running without interruption in response to determining that the cluster performance score of the cluster is greater than the minimum cluster performance score threshold.
    Type: Application
    Filed: March 22, 2023
    Publication date: September 26, 2024
    Inventors: Bo Song, Dong Hai Yu, Jun Wang, Jiang Bo Kang, Yao Dong Liu, Xiao Ming Ma