Kunliang Xu

发表

Do EEMD based decomposition-ensemble models indeed improve prediction for crude oil futures prices?

Hongli Niu, Kunliang Xu, 2022, Technological Forecasting and Social Change.

A hybrid model combining variational mode decomposition and an attention-GRU network for stock price index forecasting.

Hongli Niu, Kunliang Xu, 2020, Mathematical biosciences and engineering : MBE.

Preprocessing and postprocessing strategies comparisons: case study of forecasting the carbon price in China

Hongli Niu, Kunliang Xu, 2022, Soft Computing.

A decomposition-ensemble model with regrouping method and attention-based gated recurrent unit network for energy price prediction

Hongli Niu, Cheng Liu, Kunliang Xu, 2021 .

Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation

Weiqing Wang, Kunliang Xu, Hongli Niu, 2020, Complex..

A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network

Kunliang Xu, Hongli Niu, Weiqing Wang, 2020, Applied Intelligence.

Hybrid deep learning models with multi-classification investor sentiment to forecast the prices of China’s leading stocks

Kunliang Xu, Hongli Niu, Qiaoying Pan, 2023, PloS one.

Denoising or distortion: Does decomposition-reconstruction modeling paradigm provide a reliable prediction for crude oil price time series?

Kunliang Xu, Hongli Niu, 2023, Energy Economics.

Limited information limits accuracy: Whether ensemble empirical mode decomposition improves crude oil spot price prediction?

Weiqing Wang, Kunliang Xu, 2023, International Review of Financial Analysis.