Patents by Inventor Yonggang Hu

Yonggang Hu 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: 12201964
    Abstract: Disclosed are single atom dispersions and multi-atom dispersions, and systems and methods for synthesizing the atomic dispersions. An exemplary method of synthesizing atomic dispersions includes: positioning a loaded substrate which includes a substrate which is loaded with at least one of: a precursor of an element or a cluster of an element, applying one or more temperature pulses to the loaded substrate where a pulse of the temperature pulse(s) applies a target temperature for a duration, maintaining a cooling period after the pulse, and providing single atoms of the element dispersed on the substrate after the one or more temperature pulses. The target temperature applied by the pulse is between 500 K and 4000 K, inclusive, and the duration is between 1 millisecond and 1 minute, inclusive.
    Type: Grant
    Filed: June 14, 2020
    Date of Patent: January 21, 2025
    Assignee: UNIVERSITY OF MARYLAND, COLLEGE PARK
    Inventors: Liangbing Hu, Yonggang Yao
  • Patent number: 12147391
    Abstract: The disclosure discloses a method for service processing and system, including: determining a first quantity parameter for acquiring index shards each time and a second quantity parameter of objects acquired by each of the index shards each time; assigning first weight to the first quantity parameter to obtain third quantity parameter for acquiring the index shards; listing, from a plurality of index shards at a bucket, index shards corresponding to the third quantity parameter, and listing, from each of the index shards which is listed, the objects corresponding to the second quantity parameter, so as to obtain a matrix which takes each index shard as a column and a plurality of objects corresponding to each shard as rows; successively extracting the plurality of the objects corresponding to each row of the matrix; and according to preset number of concurrent processing, processing the plurality of the objects extracted each time.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: November 19, 2024
    Assignee: INSPUR SUZHOU INTELLIGENT TECHNOLOGY CO., LTD.
    Inventors: Longhu Si, Yonggang Hu
  • Patent number: 12141681
    Abstract: A one-shot neural architecture search method referred to as MergeNAS by merging different types of convolutions into a single operation. This mergence approach reduces the search cost to roughly half a GPU-day as well as alleviates the over-fitting problem caused by a traditional differentiable architecture search (DARTS) approach by reducing the number of redundant parameters.
    Type: Grant
    Filed: December 21, 2020
    Date of Patent: November 12, 2024
    Assignee: International Business Machines Corporation
    Inventors: Xiaoxing Wang, Chao Xue, Yonggang Hu, Ke Wei Sun
  • Patent number: 12013861
    Abstract: Disclosed are a method and apparatus for retrieving and enumerating object metadata in a distributed storage system. The method includes: defining and configuring metadata of objects, and counting the number N of types of the metadata; constructing a metadata retrieval tree according to the metadata and the number N of the types of the metadata, each Mth node being associated with an Mth linked list; configuring objects in the Mth linked lists, the objects conforms to all metadata in metadata arrays in the Mth nodes; and configuring an index based on the metadata, pointing to a specified target node via the metadata retrieval tree according to the index, determining a target linked list according to the target node, and providing enumerated objects by the target linked list.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: June 18, 2024
    Assignee: INSPUR SUZHOU INTELLIGENT TECHNOLOGY CO., LTD.
    Inventors: Pengxiang Ren, Yonggang Hu
  • Patent number: 11989656
    Abstract: Aspects of the invention include systems and methods to obtain meta features of a dataset for training in a deep learning application. A method includes selecting an initial search space that defines a type of deep learning architecture representation that specifies hyperparameters for two or more neural network architectures. The method also includes applying a search strategy to the initial search space. One of the two or more neural network architectures are selected based on a result of an evaluation according to the search strategy. A new search space is generated with new hyperparameters using an evolutionary algorithm and a mutation type that defines one or more changes in the hyperparameters specified by the initial search space, and, based on the mutation type, the new hyperparameters are applied to the one of the two or more neural networks or the search strategy is applied to the new search space.
    Type: Grant
    Filed: July 22, 2020
    Date of Patent: May 21, 2024
    Assignee: International Business Machines Corporation
    Inventors: Chao Xue, Yonggang Hu, Lin Dong, Ke Wei Sun
  • Publication number: 20240104059
    Abstract: The disclosure discloses a method for service processing and system, including: determining a first quantity parameter for acquiring shards each time and a second quantity parameter of objects acquired by each of the shards each time; assigning first weight to the first quantity parameter to obtain third quantity parameter for acquiring the shards; listing, from a plurality of shards at a bottom layer, shards corresponding to the third quantity parameter, and listing, from each of the shards which is listed, the objects corresponding to the second quantity parameter, so as to obtain a matrix, wherein the matrix takes each of the shards which is listed as a column and a plurality of objects corresponding to each shard as rows; successively extracting the plurality of the objects corresponding to each row of the matrix; and according to preset number of concurrent processing, processing the plurality of the objects extracted each time.
    Type: Application
    Filed: February 26, 2021
    Publication date: March 28, 2024
    Inventors: Longhu SI, Yonggang HU
  • Patent number: 11920315
    Abstract: Disclosed is a wireless detection device for quickly positioning a throw-fill stone falling depth and long-term settlement in blasting silt-squeezing construction, including a gravity ball and a signal receiving, processing and controlling system. The gravity ball is internally provided with test mechanisms, signal collecting and transmitting apparatuses and batteries. Also disclosed is a wireless detection method implemented using the above wireless detection device. The device and the method can detect the throw-fill stone falling depth and distribution situation in a blasting silt-squeezing construction process in real time, so that the effect evaluation and quality control of blasting silt-squeezing can be monitored in real time, the situation that the falling of throw-fill stones is incomplete can be acquired in time, monitoring data support can be provided for corresponding processing measures, and long-term settlement and other monitoring can be carried out.
    Type: Grant
    Filed: October 26, 2021
    Date of Patent: March 5, 2024
    Assignee: WENZHOU UNIVERSITY
    Inventors: Jun Wang, Wei Qin, Liujun Zhang, Junfeng Ni, Ziyang Gao, Yonggang Hu, Chaohao Pan, Jinrong Zhang, Xudong Dong
  • Publication number: 20240061581
    Abstract: A data I/O processing method includes obtaining data requested consisting of a plurality of basic data blocks in sequence; grouping the data in sequence to obtain a plurality of segmented data blocks in sequence; sequentially determining whether each segmented data block has a time delay statistical record based on the time for completion of the operation processing of a previous basic data block; in response to the time delay statistical record being present in the segmented data block, setting a waiting time period according to the time delay statistical record; sequentially merging the basic data blocks, which have not been subjected to the operation processing, in the segmented data blocks within the waiting time period until the waiting time period is ended or the merged basic data blocks reach the size of the segmentation unit, and stopping merging; and sending the merged basic data blocks and performing the operation processing.
    Type: Application
    Filed: December 30, 2021
    Publication date: February 22, 2024
    Inventors: Hongjie Yang, Yonggang Hu
  • Publication number: 20230267124
    Abstract: Disclosed are a method and apparatus for retrieving and enumerating object metadata in a distributed storage system. The method includes: defining and configuring metadata of objects, and counting the number N of types of the metadata; constructing a metadata retrieval tree according to the metadata and the number N of the types of the metadata, each Mth node being associated with an Mth linked list; configuring objects in the Mth linked lists, the objects conforms to all metadata in metadata arrays in the Mth nodes; and configuring an index based on the metadata, pointing to a specified target node via the metadata retrieval tree according to the index, determining a target linked list according to the target node, and providing enumerated objects by the target linked list. Retrieval is performed based on the enumerated objects, such that the problems of consumption of a large number of CPU and disk resources and long retrieval time caused by full enumeration are solved.
    Type: Application
    Filed: June 30, 2021
    Publication date: August 24, 2023
    Inventors: Pengxiang REN, Yonggang HU
  • Patent number: 11687489
    Abstract: A method and system for identifying garbage data, an electronic device, and a storage medium. The method includes: uploading an object to a distributed object storage system; acquiring a head object identifier in an index storage pool of the distributed object storage system; querying a data storage pool for a target data group corresponding to the head object identifier; marking a tail object corresponding to a tail object identifier in the target data group as a target tail object; and marking tail objects in the data storage pool other than the target tail object as garbage data.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: June 27, 2023
    Assignee: INSPUR ELECTRONIC INFORMATION INDUSTRY CO., LTD.
    Inventors: Yu Zhao, Yonggang Hu
  • Patent number: 11671765
    Abstract: A Micro-Electro-Mechanical System (MEMS) device includes a substrate, and a first sacrificial layer, a first conductive film, a second sacrificial layer, and a second conductive film successively laminated on the substrate, the second sacrificial layer being provided with a cavity; and further includes an amplitude-limiting layer provided with a first through hole and an isolation layer provided with a second through hole. The amplitude-limiting layer is located between the first conductive film and the first sacrificial layer and the isolation layer is located between the amplitude-limiting layer and the first conductive film, and/or the amplitude-limiting layer is located on the second conductive film and the isolation layer is located between the amplitude-limiting layer and the second conductive film. The amplitude-limiting layer extends to a projection region of an opening of the cavity and is in a suspended state.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: June 6, 2023
    Assignee: CSMC TECHNOLOGIES FAB2 CO., LTD.
    Inventors: Yonggang Hu, Guoping Zhou, Changfeng Xia
  • Publication number: 20230044394
    Abstract: Disclosed is a wireless detection device for quickly positioning a throw-fill stone falling depth and long-term settlement in blasting silt-squeezing construction, including a gravity ball and a signal receiving, processing and controlling system. The gravity ball is internally provided with test mechanisms, signal collecting and transmitting apparatuses and batteries. Also disclosed is a wireless detection method implemented using the above wireless detection device. The device and the method can detect the throw-fill stone falling depth and distribution situation in a blasting silt-squeezing construction process in real time, so that the effect evaluation and quality control of blasting silt-squeezing can be monitored in real time, the situation that the falling of throw-fill stones is incomplete can be acquired in time, monitoring data support can be provided for corresponding processing measures, and long-term settlement and other monitoring can be carried out.
    Type: Application
    Filed: October 26, 2021
    Publication date: February 9, 2023
    Inventors: JUN WANG, WEI QIN, LIUJUN ZHANG, JUNFENG NI, ZIYANG GAO, YONGGANG HU, CHAOHAO PAN, JINRONG ZHANG, XUDONG DONG
  • Patent number: 11562225
    Abstract: Methods and systems for training a machine learning model include training a machine learning model using training data. A status of the machine learning model's training is determined based on an accuracy curve of the machine learning model over the course of the training. Parameters of the training are adjusted based on the status. Training of the machine learning model is completed using the adjusted parameters.
    Type: Grant
    Filed: November 26, 2018
    Date of Patent: January 24, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Chao Xue, Rong Yan, Yonghua Lin, Yonggang Hu, Yu Song
  • Publication number: 20230008406
    Abstract: A file storage method, apparatus, device and a readable storage medium. The method includes: performing striping processing on a target file to obtain multiple target objects, and calculating fingerprint information of each target object; using a first target object and logical information of the target file to form a logical header object, and storing the logical header object in a storage system; using the fingerprint information of each second target object to determine whether the second target object has been stored in the storage system; and if the second target object has not been stored in the storage system, determining the second target object as a third target object and storing same in the storage system. According to the method, logical information of each file can be preserved, and files of some users can be prevented from being modified or deleted after deduplication is performed in the storage system.
    Type: Application
    Filed: July 23, 2020
    Publication date: January 12, 2023
    Inventors: Zhipeng Li, Yonggang Hu
  • Publication number: 20220374394
    Abstract: A method and system for identifying garbage data, an electronic device, and a storage medium. The method includes: uploading an object to a distributed object storage system (S101); acquiring a head object identifier in an index storage pool of the distributed object storage system (S102); querying a data storage pool for a target data group corresponding to the head object identifier (S103); marking a tail object corresponding to a tail object identifier in the target data group as a target tail object (S104); and marking tail objects in the data storage pool other than the target tail object as garbage data (S105). The method can identify garbage data in a distributed object storage system.
    Type: Application
    Filed: August 24, 2020
    Publication date: November 24, 2022
    Applicant: Inspur Electronic Information Industry Co., Ltd.
    Inventors: Yu ZHAO, Yonggang HU
  • Publication number: 20220198248
    Abstract: A one-shot neural architecture search method referred to as MergeNAS by merging different types of convolutions into a single operation. This mergence approach reduces the search cost to roughly half a GPU-day as well as alleviates the over-fitting problem caused by a traditional differentiable architecture search (DARTS) approach by reducing the number of redundant parameters.
    Type: Application
    Filed: December 21, 2020
    Publication date: June 23, 2022
    Inventors: Xiaoxing Wang, Chao Xue, Yonggang Hu, Ke Wei Sun
  • Publication number: 20220086571
    Abstract: A Micro-Electro-Mechanical System (MEMS) device includes a substrate, and a first sacrificial layer, a first conductive film, a second sacrificial layer, and a second conductive film successively laminated on the substrate, the second sacrificial layer being provided with a cavity; and further includes an amplitude-limiting layer provided with a first through hole and an isolation layer provided with a second through hole. The amplitude-limiting layer is located between the first conductive film and the first sacrificial layer and the isolation layer is located between the amplitude-limiting layer and the first conductive film, and/or the amplitude-limiting layer is located on the second conductive film and the isolation layer is located between the amplitude-limiting layer and the second conductive film. The amplitude-limiting layer extends to a projection region of an opening of the cavity and is in a suspended state.
    Type: Application
    Filed: April 30, 2020
    Publication date: March 17, 2022
    Inventors: Yonggang HU, Guoping ZHOU, Changfeng XIA
  • Publication number: 20220027739
    Abstract: Aspects of the invention include systems and methods to obtain meta features of a dataset for training in a deep learning application. A method includes selecting an initial search space that defines a type of deep learning architecture representation that specifies hyperparameters for two or more neural network architectures. The method also includes applying a search strategy to the initial search space. One of the two or more neural network architectures are selected based on a result of an evaluation according to the search strategy. A new search space is generated with new hyperparameters using an evolutionary algorithm and a mutation type that defines one or more changes in the hyperparameters specified by the initial search space, and, based on the mutation type, the new hyperparameters are applied to the one of the two or more neural networks or the search strategy is applied to the new search space.
    Type: Application
    Filed: July 22, 2020
    Publication date: January 27, 2022
    Inventors: Chao Xue, Yonggang Hu, Lin Dong, Ke Wei Sun
  • Patent number: 11204807
    Abstract: A method for multi-layer quality of service (QoS) management in a distributed computing environment includes receiving a workload and identifying a workload QoS class for the workload. The workload is scheduled to be run compute nodes. The workload QoS class is translated to a plurality of different resource layer QoS classes, and the plurality of QoS classes are communicated to a workload execution manager of the compute nodes. The workload execution manager extends the plurality of different resource layer QoS classes to respective resource layers involved in the running of the workload.
    Type: Grant
    Filed: November 11, 2019
    Date of Patent: December 21, 2021
    Assignee: International Business Machines Corporation
    Inventors: Yonggang Hu, Zhenhua Hu, Reshu Jain, Prasenjit Sarkar, Rui Zhang
  • Patent number: 11175954
    Abstract: A system for multi-layer quality of service (QoS) management in a distributed computing environment includes a management node hosting a workload scheduler configured to receive a workload and identify a workload QoS class for the workload. The workload scheduler schedules running of the workload on compute nodes, translate the workload QoS class to a plurality of different resource layer QoS classes, and communicates the plurality of QoS classes to a workload execution manager of the compute nodes. The workload execution manager is configured to extend the plurality of different resource layer QoS classes to respective resource layers involved in the running of the workload.
    Type: Grant
    Filed: November 11, 2019
    Date of Patent: November 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Yonggang Hu, Zhenhua Hu, Reshu Jain, Prasenjit Sarkar, Rui Zhang