19 citations · 20 across the 5 of their papers we have counts for
5 papers
ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence
Luoxiao Yang, Yun Wang, Xinqi Fan +3
Time series forecasting (TSF) possesses great practical values in various fields, including power and energy, transportation, etc. TSF methods have been studied based on knowledge…
Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting
Luoxiao Yang, Xinqi Fan, Zijun Zhang
Time series forecasting (TSF) has been a challenging research area, and various models have been developed to address this task. However, almost all these models are trained with n…
Rubik's Cube Operator: A Plug And Play Permutation Module for Better Arranging High Dimensional Industrial Data in Deep Convolutional Processes
Luoxiao Yang, Zhong Zheng, Zijun Zhang
The convolutional neural network (CNN) has been widely applied to process the industrial data based tensor input, which integrates data records of distributed industrial systems fr…
Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method
Luoxiao Yang, Long Wang, Zijun Zhang
This paper develops a novel self-training U-net (STU-net) based method for the automated WPC model generation without requiring data pre-processing. The self-training (ST) process…
Automatic Rail Component Detection Based on AttnConv-Net
Tiange Wang, Zijun Zhang, Fangfang Yang +1
The automatic detection of major rail components using railway images is beneficial to ensure the rail transport safety. In this paper, we propose an attention-powered deep convolu…