公开(公告)号：US11320914B1

公开(公告)日：2022-05-03

申请号：US17136794

申请日：2020-12-29

Applicant: EMC IP Holding Company LLC

Inventor： Jiacheng Ni ,  Zijia Wang ,  Qiang Chen ,  Jinpeng Liu ,  Zhen Jia

IPC: G06F3/01 ,  G06K9/62 ,  G06V40/20

Abstract: Embodiments of the present disclosure provide a computer interaction method, device, and program product. The method includes: acquiring, in response to triggering of an input to an electronic device, multiple images that present a given part of a user; determining a corresponding character sequence based on respective gestures of the given part in the multiple images, corresponding characters in the character sequence being selected from a predefined character set in which multiple characters respectively correspond to different gestures of the given part; and determining, based on the character sequence, a computer instruction to be input to the electronic device. With this solution, the user can conveniently and flexibly execute the input to the electronic device through a gesture of the given part (e.g., a hand).

公开(公告)号：US12205034B2

公开(公告)日：2025-01-21

申请号：US17230460

申请日：2021-04-14

Applicant: EMC IP Holding Company LLC

Inventor： Zijia Wang ,  Jiacheng Ni ,  Qiang Chen ,  Zhen Jia

IPC: G06N3/082 ,  G06F40/30

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data processing. In a method for data processing, a first electronic device processes data based on a first data processing model to generate an initial result. A data size of the initial result is smaller than a data size of the data. The first electronic device sends the initial result to a second electronic device. The initial result is adjusted at the second electronic device and based on a second data processing model to generate an adjusted result. The second electronic device has more computing resources than the first electronic device, the second data processing model occupies more computing resources than the first data processing model, and an accuracy of the adjusted result is higher than that of the initial result.

公开(公告)号：US11989263B2

公开(公告)日：2024-05-21

申请号：US17541360

申请日：2021-12-03

Applicant: EMC IP Holding Company LLC

Inventor： Zijia Wang ,  Jiacheng Ni ,  Zhen Jia

IPC: G06N20/00 ,  G06F18/21 ,  G06F18/214

CPC classification number: G06F18/2148 ,  G06F18/2178 ,  G06N20/00

Abstract: A method in one embodiment includes receiving, at an edge device, new data for training a model, the edge device having stored distilled data used to represent historical data to train the model, the historical data being stored in a remote device, and the amount of the historical data being greater than the amount of the distilled data. The method further includes training the model based on the new data and the distilled data. With the data processing solution of this embodiment, the model can be trained at the edge device with fewer storage resources based on the distilled data, thereby achieving higher model accuracy.

公开(公告)号：US20230129870A1

公开(公告)日：2023-04-27

申请号：US17528388

申请日：2021-11-17

Applicant: EMC IP Holding Company LLC

Inventor： Wenbin Yang ,  Jiacheng Ni ,  Qiang Chen ,  Zijia Wang ,  Zhen Jia

IPC: G06K9/62 ,  G06N20/00

Abstract: Embodiments of the present disclosure provide a method and an apparatus for training a model, an electronic device, and a medium. This method includes: generating a first group of features and a second group of features respectively from a first sample set and a second sample set based on the model, wherein the first sample set is of a first category, and the second sample set is of a second category different from the first category; generating a first similarity matrix for the first sample set and the second sample set based on the first group of features and the second group of features; determining a first loss for the first sample set and the second sample set based on the first similarity matrix; and updating the model based on the first loss.

公开(公告)号：US20230034322A1

公开(公告)日：2023-02-02

申请号：US17406451

申请日：2021-08-19

Applicant: EMC IP Holding Company LLC

Inventor： Zijia Wang ,  Jiacheng Ni ,  Wenbin Yang ,  Zhen Jia

IPC: G06K9/62 ,  G06N20/00

Abstract: Embodiments of the present disclosure relate to a computer-implemented method, a device, and a computer program product. The method includes: determining, based on a set of sample features extracted from an input sample by a feature extraction model, a confidence level of the input sample and a similarity degree among the set of sample features; determining a first loss based on the confidence level, the set of sample features, and label information for the input sample, the first loss being related to the quality of the label information; determining a second loss based on the similarity degree among the set of sample features, the second loss being related to the quality of the set of sample features; and training the feature extraction model based on the first loss and the second loss. Embodiments of the present disclosure determine the confidence level of the input sample, thereby optimizing the feature extraction model.

公开(公告)号：US20230028860A1

公开(公告)日：2023-01-26

申请号：US17397518

申请日：2021-08-09

Applicant: EMC IP Holding Company LLC

Inventor： Zijia Wang ,  Jiacheng Ni ,  Wenbin Yang ,  Zhen Jia

IPC: G06K9/62 ,  G06N20/00 ,  G06F17/16

Abstract: Embodiments disclosed herein include a method, an electronic device, and a computer program product for data processing. The method includes determining a first set of feature vectors representing samples in a data set. The method also includes generating a second set of feature vectors by performing a first transformation on the first set of feature vectors, wherein distribution skewness of the second set of feature vectors in a feature space is smaller than that of the first set of feature vectors. The method also includes generating a third set of feature vectors by performing a second transformation on the second set of feature vectors, wherein the third set of feature vectors and the second set of feature vectors have different distances between vectors. The method also includes selecting target samples as representatives from the samples based on a distribution of the third set of feature vectors in the feature space.

公开(公告)号：US11562173B2

公开(公告)日：2023-01-24

申请号：US17003573

申请日：2020-08-26

Applicant: EMC IP Holding Company LLC

Inventor： Jiacheng Ni ,  Jinpeng Liu ,  Qiang Chen ,  Zijia Wang ,  Zhen Jia

IPC: G06K9/00 ,  G06K9/62 ,  G06V20/20 ,  G06V40/16

Abstract: The present disclosure relates to a method, a device, and a computer program product for model updating. The method includes: acquiring a first image set and first annotation information, wherein the first annotation information indicates whether a corresponding image in the first image set includes a target object; updating a first version of an object verification model using the first image set and the first annotation information to obtain a second version, wherein the first version of the object verification model has been deployed to determine whether an input image includes the target object; determining the accuracy of the second version of the object verification model; and updating, if it is determined that the accuracy is lower than a preset accuracy threshold, the second version of the object verification model using a second image set and second annotation information to obtain a third version of the object verification model.

公开(公告)号：US11521087B2

公开(公告)日：2022-12-06

申请号：US16983051

申请日：2020-08-03

Applicant: EMC IP Holding Company LLC

Inventor： Jiacheng Ni ,  Zijia Wang ,  Min Gong ,  Pengfei Wu ,  Zhen Jia

IPC: G06F3/048 ,  G06N5/04 ,  G06F40/279 ,  G06N20/00 ,  G06F16/23

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing information. According to an example embodiment, the method includes: acquiring a service request record set, each service request record in the service request record set relating to a problem encountered by a user when the user is provided with a service and a solution to the problem; constructing a language model based on a first subset in the service request record set and an initial model, the initial model being trained using a predetermined corpus and configured to determine vector representations of words and sentences in the corpus; and constructing a classification model based on a second subset in the service request record set and the language model, the classification model being capable of determining a solution to a pending problem, and the first subset being different from the second subset.

公开(公告)号：US20220343182A1

公开(公告)日：2022-10-27

申请号：US17323142

申请日：2021-05-18

Applicant: EMC IP Holding Company LLC

Inventor： Zijia Wang ,  Zhen Jia ,  Jiacheng Ni

IPC: G06N5/02 ,  G06F16/901 ,  G06F16/9032 ,  G06K9/62

Abstract: Embodiments of the present disclosure relate to an article processing method, electronic device, and computer program product. The method includes: determining, based on content of a target article, a target article vector associated with the target article; acquiring a reference article vector set associated with a reference article set; and determining, based on a distance in an article vector space between the target article vector and a reference article vector in the reference article vector set, a reference article vector associated with the target article vector in the reference article vector set as an association article vector. By using the technical solution of the present disclosure, an association article associated with a target article can be accurately provided based on the target article selected by a user, so that reports on the target article and its association articles can be further provided to the user for analysis and selection.

公开(公告)号：US11443556B2

公开(公告)日：2022-09-13

申请号：US17106551

申请日：2020-11-30

Applicant: EMC IP Holding Company LLC

Inventor： Zijia Wang ,  Qiang Chen ,  Jiacheng Ni ,  Zhen Jia

IPC: G06V40/20 ,  G06F7/02 ,  G06K9/62 ,  G06F3/02

Abstract: Embodiments of the present disclosure provide a method, a device, and a program product for keystroke pattern analysis. The method includes: acquiring keystroke information of a user on an electronic device, wherein the keystroke information indicates a sequence of characters that are typed sequentially and time information related to the typing of corresponding characters in the sequence of characters; encoding corresponding characters in the sequence of characters respectively into vectorized representations to obtain a sequence of vectorized representations, wherein different characters are encoded into different vectorized representations; superimposing the time information related to the typing of corresponding characters in the sequence of characters respectively to corresponding vectorized representations in the sequence of vectorized representations to obtain a sequence of time-based vectorized representations; and verifying a keystroke pattern of the user by extracting keystroke behavior features from the sequence of time-based vectorized representations.