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Xiaorui Shao
guizhou university
12
H指数
27
论文数
530
被引数
0
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13
发表时间
发表时间
IF
被引数
EnergyFormer: dual-supervised adaptive multi-scale Transformer for multistep energy forecasting
EnergyFormer:用于多步能源预测的双监督自适应多尺度Transformer
Expert Systems with Applications
IF
7.5
2025-12-09
0
PRE
AI
Xiaorui Shao; Ruizhang Huang; Yongbin Qin
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Multi-branch global Transformer‐assisted network for fault diagnosis
多分支全局Transformer辅助网络用于故障诊断
Applied Soft Computing
IF
6.6
2025-07-09
0
PRE
AI
Xiaorui Shao; Chang-Soo Kim
分享
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An efficient fire detection algorithm based on Mamba space state linear attention
基于Mamba空间状态线性注意的高效火灾检测算法
SCIENTIFIC REPORTS
IF
3.9
2025-04-02
0
OA
AI
Li, Yuming; Wang, Yongjie; Shao, Xiaorui; Zheng, Anbo
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DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2024-05-01
3
PRE
AI
Shao, Xiaorui; Li, De; Ra, Ilkyeun; Kim, Chang-Soo
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Adaptive multi-scale attention convolution neural network for cross-domain fault diagnosis
用于跨域故障诊断的自适应多尺度注意力卷积神经网络
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2024-02-01
19
PRE
AI
Shao, Xiaorui; Kim, Chang-Soo
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收藏
GAILS: an effective multi-object job shop scheduler based on genetic algorithm and iterative local search
SCIENTIFIC REPORTS
IF
3.9
2024-01-24
3
OA
AI
Shao, Xiaorui; Kshitij, Fuladi Shubhendu; Kim, Chang Soo
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DL-MSCNN: a general and lightweight framework for fault diagnosis with limited training samples
JOURNAL OF INTELLIGENT MANUFACTURING
IF
7.4
2023-10-24
2
PRE
AI
Shao, Xiaorui; Lee, Ahyoung; Kim, Chang-Soo
分享
收藏
A lightweight network for real-time smoke semantic segmentation based on dual paths
NEUROCOMPUTING
IF
6.5
2022-08-01
13
PRE
AI
Li, Yuming; Zhang, Wei; Liu, Yanyan; Shao, Xiaorui
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Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing
SENSORS
IF
3.5
2022-05-30
29
OA
AI
Shao, Xiaorui; Kim, Chang-Soo
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An Adaptive Job Shop Scheduler Using Multilevel Convolutional Neural Network and Iterative Local Search
IEEE ACCESS
IF
3.6
2022-01-01
4
OA
AI
Shao, Xiaorui; Kim, Chang Soo
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Highly Accurate Short-Term Gas Consumption and Elapsed Time Forecasting Using Multi-Channel Deep Neural Network
使用多通道深度神经网络进行高精度的短期天然气消耗和经过时间预测
IEEE ACCESS
IF
3.6
2021-01-01
1
OA
AI
Choi, Yeonjee; Shao, Xiaorui; Hwang, Hyun Suk
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Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting
基于域融合cnn-lstm的短期用电量预测
IEEE ACCESS
IF
3.6
2020-01-01
42
OA
AI
Shao, Xiaorui; Pu, Chen; Zhang, Yuxin; Kim, Chang Soo
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Multi-Step Short-Term Power Consumption Forecasting Using Multi-Channel LSTM With Time Location Considering Customer Behavior
考虑客户行为的时间位置多通道LSTM多步短期用电量预测
IEEE ACCESS
IF
3.6
2020-01-01
38
OA
AI
Shao, Xiaorui; Kim, Chang Soo
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研究方向
暂时未获取到该数据
合作学者
合作期刊
刘妍妍
(Yanyan Liu)
H 指数: 22 · 论文数: 278
C
Chang-Soo Kim
H 指数: 20 · 论文数: 77
R
Ruizhang Huang
H 指数: 19 · 论文数: 111
Y
Yuming Li
H 指数: 18 · 论文数: 118
汪
汪勇杰
(Yongjie Wang)
H 指数: 18 · 论文数: 85
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