Xueheng Qiu

According to our database, Xueheng Qiu authored at least 15 papers between 2014 and 2019.

Collaborative distances:

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

2019

Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting.

Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga

J. Bank. Financial Technol., 2019

Classification of Stock Market Trends with Confidence-Based Selective Predictions.

Wen Xin Cheng, Ponnuthurai N. Suganthan, Xueheng Qiu, Rakesh Katuwal

Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019

Remaining Useful Life Prediction Using Time-Frequency Feature and Multiple Recurrent Neural Networks.

Jihoon Hong, Qiushi Wang, Xueheng Qiu, Hian-Leng Chan

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting.

Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga

Knowl. Based Syst., 2018

Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting.

Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

Oblique random forest ensemble via Least Square Estimation for time series forecasting.

Xueheng Qiu, Le Zhang, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga

Inf. Sci., 2017

Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting.

Xueheng Qiu, Ye Ren, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga

Appl. Soft Comput., 2017

Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques.

Xueheng Qiu, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A heterogeneous ensemble of trees.

Wen Xin Cheng, Rakesh Katuwal, Ponnuthurai N. Suganthan, Xueheng Qiu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines.

Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga

Proceedings of the International Conference on Computational Science, 2017

Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble \nu -Support Vector Regression Model.

Xueheng Qiu, Huilin Zhu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

2016

Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network.

Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network.

Ye Ren, Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014

Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting.

Ye Ren, Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

Ensemble deep learning for regression and time series forecasting.

Xueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014