公开(公告)号：US20250077873A1

公开(公告)日：2025-03-06

申请号：US18949212

申请日：2024-11-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jieming ZHU ,  Liqun DENG ,  Zhou ZHAO ,  Dong YAO ,  Zhenhua DONG

IPC: G06N3/084 ,  G06F18/214

Abstract: Representation learning methods and related devices are provided. An example method includes: obtaining a dataset of to-be-learned data; inputting the dataset into an encoder, and extracting features of the data segments based on a parameter of the encoder to obtain representation vectors corresponding to data segments of various scales; inputting the representation vectors into an interaction module, and performing, based on a parameter of the interaction module, information interaction on representation vectors corresponding to data segments of adjacent scales in the subset, to obtain fused representation vectors corresponding to the data segments of various scales; constructing an objective function based on the fused representation vectors; and optimizing the objective function to adjust the parameter of the encoder and the parameter of the interaction module, so that the encoder and the interaction module learn a high-quality representation vector of the to-be-learned data.

公开(公告)号：US20230360634A1

公开(公告)日：2023-11-09

申请号：US18356738

申请日：2023-07-21

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Nianzu ZHENG ,  Disong WANG ,  Liqun DENG ,  Yang ZHANG

IPC: G10L25/30 ,  G10L13/08

CPC classification number: G10L13/08 ,  G10L25/30

Abstract: The present disclosure relates to text data processing methods and apparatuses. One example method includes obtaining target text, where a phoneme of the target text includes a first phoneme and a second phoneme that are adjacent to each other. Feature extraction is performed on the first phoneme and the second phoneme to obtain a first audio feature of the first phoneme and a second audio feature of the second phoneme. By using a target recurrent neural network (RNN) and based on the first audio feature, first speech data corresponding to the first phoneme is obtained.By using the target RNN and based on the second audio feature, second speech data corresponding to the second phoneme is obtained.By using a vocoder and based on the first speech data and the second speech data, audio corresponding to the first phoneme and audio corresponding to the second phoneme are obtained.

公开(公告)号：US20190042311A1

公开(公告)日：2019-02-07

申请号：US16153099

申请日：2018-10-05

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jiansheng WEI ,  Guowei HUANG ,  Liqun DENG

IPC: G06F9/50 ,  G06F19/18

Abstract: The present disclosure relates to a resource allocation method for gene analysis. In one example method, a parameter value that is of the target chromosome region and that is used for resource allocation is obtained according to a sequenced read in a target chromosome region. A computing resource is allocated, according to the parameter value that is of the target chromosome region and that is used for resource allocation, to an operation in a cleansing and variant calling task that is in the gene analysis and that is performed on the sequenced read in the target chromosome region.

公开(公告)号：US20190227853A1

公开(公告)日：2019-07-25

申请号：US16369564

申请日：2019-03-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Guowei HUANG ,  Liqun DENG ,  Jiansheng WEI

IPC: G06F9/50

Abstract: Embodiments of the present invention related to in Artificial Intelligence field and disclose a computing resource allocation method, a related device, and a MapReduce-based distributed system. The system includes a management node and a target computing node. The management node is configured to: obtain M computing tasks, and establish a resource assessment model; and send one or more computing tasks of the M computing tasks and information about the resource assessment model to the target computing node. The target computing node is configured to: receive the one or more computing tasks and the information about the resource assessment model, and, substitute input data of the computing stage into the resource assessment model to compute a resource size of a computing resource required for the computing stage; and compute the input data by using a computing resource that is of the resource size and that is in a preset resource pool.

公开(公告)号：US20190050531A1

公开(公告)日：2019-02-14

申请号：US16159715

申请日：2018-10-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Liqun DENG ,  Jiansheng WEI ,  Jun ZHANG

IPC: G06F19/22 ,  C12Q1/6869 ,  C40B40/08 ,  C12Q1/6827 ,  G06F19/18 ,  G06F19/20 ,  G06F19/24 ,  G06F19/28

Abstract: A DNA sequence processing method and device are used to resolve a prior-art problem of low-efficiency mutation detection on a DNA sample. The method includes: performing alignment computation on each read in the read group according to a reference sequence of a chromosome to obtain an alignment result record of the read relative to the reference sequence; determining a chromosome region in which each read is located; and merging alignment result records of reads located in a same chromosome region into one intermediate result file; determining a target sequence file of each chromosome region according to the N intermediate result files corresponding to the chromosome region; and determining mutation site information of each chromosome region according to the target sequence file of the chromosome region.

公开(公告)号：US20240105159A1

公开(公告)日：2024-03-28

申请号：US18524208

申请日：2023-11-30

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Liqun DENG ,  Daxin TAN ,  Nianzu ZHENG

IPC: G10L13/08

CPC classification number: G10L13/08

Abstract: Embodiments of this disclosure disclose a speech processing method and a related device, which may be applied to a scenario in which a user records a short video, a teacher records a teaching speech, or the like. The method includes: obtaining an original speech and a second text, where an original text corresponding to the original speech and a target text to which the second text belongs both include a first text; generating a second speech feature of a corrected text (that is, the second text) in the target text by referring to a first speech feature of a correct text (that is, the first text) in the original text; and then generating, based on the second speech feature, a target edited speech corresponding to the corrected text.

公开(公告)号：US20220075958A1

公开(公告)日：2022-03-10

申请号：US17530197

申请日：2021-11-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yulong ZENG ,  Jiansheng WEI ,  Yasheng WANG ,  Liqun DENG ,  Anqi CUI

IPC: G06F40/30 ,  G06N5/00 ,  G06F40/289

Abstract: The present invention discloses a missing semantics complementing method in the field of natural language processing in the artificial intelligence field, including: obtaining a question statement and a historical dialog statement; resolving a to-be-resolved item in the question statement based on the historical dialog statement and location information of the to-be-resolved item, to obtain a resolved question statement; determining whether a component in the question statement is ellipted, and if a component in the question statement is ellipted, complementing the ellipted component based on the historical dialog statement, to obtain a question statement after ellipsis resolution; merging the resolved question statement and the question statement after ellipsis resolution, to obtain a merged question statement; and determining a target complemented question statement from the resolved question statement, the question statement after ellipsis resolution, and the merged question statement.