Xiaorui Shao

According to our database, Xiaorui Shao authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Adaptive multi-scale attention convolution neural network for cross-domain fault diagnosis.

Xiaorui Shao, Chang-Soo Kim

Expert Syst. Appl., February, 2024

DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis.

Xiaorui Shao, De Li, Ilkyeun Ra, Chang-Soo Kim

Knowl. Based Syst., 2024

TFFS: A trainable federal fusion strategy for multistep time series forecasting.

Xiaorui Shao, Chang-Soo Kim

Inf. Sci., 2024

2022

Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing.

Xiaorui Shao, Chang-Soo Kim

Sensors, 2022

A lightweight network for real-time smoke semantic segmentation based on dual paths.

Yuming Li, Wei Zhang, Yanyan Liu, Xiaorui Shao

Neurocomputing, 2022

An Adaptive Job Shop Scheduler Using Multilevel Convolutional Neural Network and Iterative Local Search.

Xiaorui Shao, Chang Soo Kim

IEEE Access, 2022

2021

Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features.

Xiaorui Shao, Lijiang Wang, Chang Soo Kim, Ilkyeun Ra

KSII Trans. Internet Inf. Syst., 2021

Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem.

Xiaorui Shao, Chang Soo Kim

KSII Trans. Internet Inf. Syst., 2021

Highly Accurate Short-Term Gas Consumption and Elapsed Time Forecasting Using Multi-Channel Deep Neural Network.

Yeonjee Choi, Xiaorui Shao, Hyun Suk Hwang

IEEE Access, 2021

2020

Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting.

Xiaorui Shao, Chen Pu, Yuxin Zhang, Chang Soo Kim

IEEE Access, 2020

Multi-Step Short-Term Power Consumption Forecasting Using Multi-Channel LSTM With Time Location Considering Customer Behavior.

Xiaorui Shao, Chang Soo Kim

IEEE Access, 2020