Search多头注意力returned 16 results

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1

Aero-engine remaining useful life prediction based on multi-scale time-frequency fusion and composite attention mechanism

基于多尺度时频融合与复合注意力机制的航空发动机剩余使用寿命预测

Li Gongxun

Ye Qing

remaining useful life prediction

aero-engine

time-frequency Fusion

multi-scale features

multi-head attention mechanism

Accepted Paper No. 2, 2026 : doi:10.19734/j.issn.1001-3695.2025.07.0242

2

Graph neural network recommendation model integrating dynamic neighborhood selection and multi-interest representation

融合动态邻域选择与多兴趣建模的图神经网络推荐模型

Wang Chong

Gu Chengtong

Fu Xiang

Hong Xin

recommendation system

graph neural network

reinforcement learning

multi-head attention mechanism

Accepted Paper No. 1, 2026 : doi:10.19734/j.issn.1001-3695.2025.06.0185

3

Interactive recommendation method combining text enhancement and deep reinforcement learning

融合文本增强与深度强化学习的交互式推荐方法

Zhang Xiaoyu

Mei Hongyan

Hu Siyu

Zhao Entong

textual information

multi-head attention mechanism

deep reinforcement learning

interactive recommendation

No. 12, 2025 : 3637-3643 doi:10.19734/j.issn.1001-3695.2025.04.0155

4

Vehicles trajectory prediction approach based on Transformer with edge update and multi-head attention interactive fusion

基于边更新与多头交互融合Transformer的车辆轨迹预测方法

Sun Ying

Wu Yanyong

Ding Derui

Zhang Jiankun

vehicle trajectory prediction

deep learning

Transformer

multi-head attention mechanism

spatio-temporal feature integration

intelligent driving

No. 8, 2025 : 2348-2354 doi:10.19734/j.issn.1001-3695.2025.01.0017

5

Hierarchical reinforcement learning knowledge reasoning method integrating Bi-LSTM and multi-head attention

融合Bi-LSTM与多头注意力的分层强化学习推理方法

Li Weijun

Liu Shixia

Liu Xueyang

Ding Jianping

Su Yilei

Wang Ziyi

knowledge reasoning

layered reinforcement learning

Bi-LSTM

multi-head attention mechanism

No. 1, 2025 : 71-77 doi:10.19734/j.issn.1001-3695.2024.06.0197

6

Iterative open information extraction based on biaffine attention

基于双仿射注意力的迭代式开放域信息抽取

Li Xin

Shao Jingqi

Wang Hao

He Li

Duan Jianyong

open information extraction(OpenIE)

biaffine attention

compactness

multi-head attention

iterative extraction

No. 7, 2024 : 2046-2051 doi:10.19734/j.issn.1001-3695.2023.10.0543

7

Traffic flow prediction model based on combining periodic graph convolution network and multi-head attention GRU

基于周期图卷积与多头注意力GRU组合的交通流量预测模型

Zhong Linlan

Zhang Anqin

Tian Xiuxia

traffic flow prediction

graph convolutional network(GCN)

multi-head attention mechanism

gated recurrent unit(GRU)

gated fusion mechanism

spatial-temporal fusion

No. 4, 2024 : 1041-1046 doi:10.19734/j.issn.1001-3695.2023.08.0362

8

Unsupervised abnormal power consumption detection via deep siamese autoregressive network

基于深度孪生自回归网络的无监督异常用电检测

Li Qilin

Yan Ping

Su Xinyu

Yuan Zhong

Peng Dezhong

Liu Yizhi

smart grid

abnormal electricity consumption detection

deep siamese autoregressive network

multi-head attention

unsupervised learning

No. 12, 2023 : 3717-3722,3727 doi:10.19734/j.issn.1001-3695.2023.07.0337

9

Information diffusion prediction based on hypergraph attention mechanism and graph convolution network

融合超图注意力机制与图卷积网络的信息扩散预测

Miao Chenxiang

Liu Xiaoyang

hypergraph

graph convolutional network

gating mechanism

multi-head attention mechanism

diffusion prediction

No. 6, 2023 : 1715-1720 doi:10.19734/j.issn.1001-3695.2022.10.0510

10

Multi-head attention spatio-temporal convolutional graph network for traffic flow prediction

面向交通流量预测的多头注意力时空卷积图网络模型

Xia Ying

Shi Zhiqi

traffic forecasting

dynamic spatio-temporal correlation

multi-headed attention mechanism

graph convolution

No. 3, 2023 : 766-770 doi:10.19734/j.issn.1001-3695.2022.07.0362

11

Image question answering based on multi-view semantic graph network

基于多路语义图网络的图像自动问答

Qiao Youtian

Zhang Haijun

Lu Ming

image question answering

multi-head attention model

automatic question answering

feature fusion

crossmodal analysis

No. 2, 2023 : 383-387 doi:10.19734/j.issn.1001-3695.2022.06.0335

12

Aspect-based sentiment analysis based on attention network

基于注意力网络的属性级别情感分析

Shen Bin

Fang Yiquan

Cai Yuan

Cheng Hua

Zhong Ye

aspect-based

sentiment analysis

multi-head attention

BERT

No. 2, 2022 : 411-416 doi:10.19734/j.issn.1001-3695.2021.07.0297

13

xDeepFM recommendation model based on multi-head attention mechanism and location information

基于多头注意力机制和位置信息的xDeepFM推荐模型

Niu Lushuai

Peng Yan

recommendation algorithm

deep learning

location information

multiple attention mechanism

xDeepFM

No. 10, 2021 : 3055-3059 doi:10.19734/j.issn.1001-3695.2021.03.0088

14

Social network sign prediction based on multi-head attention mechanism

基于多头注意力机制的社交网络符号预测

Yan Shixiong

Zhu Yan

Li Chunping

signed network

network representation learning

multi-head attention mechanism

neighbor sampling

No. 5, 2021 : 1360-1364 doi:10.19734/j.issn.1001-3695.2020.07.0180

15

Clustering optimization recommendation algorithm for multi-head attention comment quantization

多头注意力评论量化的聚类优化推荐算法

Qiu Ningjia

Wang Xianyong

Wang Peng

recommendation algorithm

comment on quantitative models

multi-head attention mechanism

differential evolution algorithm

clustering optimization

No. 5, 2021 : 1376-1380 doi:10.19734/j.issn.1001-3695.2020.05.0125

16

Hybrid CTC/attention architecture for end-to-end multi-accent Mandarin speech recognition

混合CTC/attention架构端到端带口音普通话识别

Yang Wei

Hu Yan

accent

hybrid CTC/attention end-to-end model

multi-head attention

connectionist temporal classification

speech recognition

No. 3, 2021 : 755-759 doi:10.19734/j.issn.1001-3695.2020.02.0036