Liang Du

According to our database, Liang Du authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping.

Yan Li, Maohan Liang, Huanhuan Li, Zaili Yang, Liang Du, Zhongshuo Chen

Eng. Appl. Artif. Intell., November, 2023

2022

Bayesian optimization based dynamic ensemble for time series forecasting.

Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang

Inf. Sci., 2022

Random vector functional link neural network based ensemble deep learning for short-term load forecasting.

Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, Qin Zhou, Kum Fai Yuen

Expert Syst. Appl., 2022

Annual dilated convolutional LSTM network for time charter rate forecasting.

Jixian Mo, Ruobin Gao, Jiahui Liu, Liang Du, Kum Fai Yuen

Appl. Soft Comput., 2022

Graph ensemble deep random vector functional link network for traffic forecasting.

Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang

Appl. Soft Comput., 2022

Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network.

Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Walk-forward empirical wavelet random vector functional link for time series forecasting.

Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan

Appl. Soft Comput., 2021

Time series forecasting based on echo state network and empirical wavelet transformation.

Ruobin Gao, Liang Du, Okan Duru, Kum Fai Yuen

Appl. Soft Comput., 2021

2020

Robust empirical wavelet fuzzy cognitive map for time series forecasting.

Ruobin Gao, Liang Du, Kum Fai Yuen

Eng. Appl. Artif. Intell., 2020