Multi-step-ahead time series prediction using multiple-output support vector regression Y Bao, T Xiong, Z Hu Neurocomputing 129, 482-493, 2014 | 197 | 2014 |

A PSO and pattern search based memetic algorithm for SVMs parameters optimization Y Bao, Z Hu, T Xiong Neurocomputing 117, 98-106, 2013 | 193 | 2013 |

Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting T Xiong, Y Bao, Z Hu Knowledge-Based Systems 55, 87-100, 2014 | 190 | 2014 |

Hybrid filter–wrapper feature selection for short-term load forecasting Z Hu, Y Bao, T Xiong, R Chiong Engineering Applications of Artificial Intelligence 40, 17-27, 2015 | 186 | 2015 |

Beyond one-step-ahead forecasting: evaluation of alternative multi-step-ahead forecasting models for crude oil prices T Xiong, Y Bao, Z Hu Energy Economics 40, 405-415, 2013 | 156 | 2013 |

Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms T Xiong, Y Bao, Z Hu, R Chiong Information Sciences 305, 77-92, 2015 | 132 | 2015 |

Exploring gender differences on general and specific computer self-efficacy in mobile learning adoption Y Bao, T Xiong, Z Hu, M Kibelloh Journal of Educational Computing Research 49 (1), 111-132, 2013 | 125 | 2013 |

Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection Z Hu, Y Bao, R Chiong, T Xiong Energy 84, 419-431, 2015 | 109 | 2015 |

A combination method for interval forecasting of agricultural commodity futures prices T Xiong, C Li, Y Bao, Z Hu, L Zhang Knowledge-Based Systems 77, 92-102, 2015 | 99 | 2015 |

Interval forecasting of electricity demand: A novel bivariate EMD-based support vector regression modeling framework T Xiong, Y Bao, Z Hu International Journal of Electrical Power & Energy Systems 63, 353-362, 2014 | 98 | 2014 |

Comprehensive Learning Particle Swarm Optimization based Memetic Algorithm for Model Selection in Short-term Load Forecasting using Support Vector Regression Z Hu, Y Bao, T Xiong Applied Soft Computing 25, 15–25, 2014 | 98 | 2014 |

Electricity load forecasting using support vector regression with memetic algorithms Z Hu, Y Bao, T Xiong The Scientific World Journal 2013, 2013 | 79 | 2013 |

PSO-MISMO Modeling Strategy for MultiStep-Ahead Time Series Prediction Y Bao, T Xiong, Z Hu IEEE Transactions on Cybernetics 44 (5), 655 – 668, 2014 | 77 | 2014 |

Does restraining end effect matter in EMD-based modeling framework for time series prediction? Some experimental evidences T Xiong, Y Bao, Z Hu Neurocomputing 123, 174-184, 2014 | 64 | 2014 |

A sentiment analysis-based machine learning approach for financial market prediction via news disclosures R Chiong, Z Fan, Z Hu, MTP Adam, B Lutz, D Neumann Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 51 | 2018 |

Partial opposition-based adaptive differential evolution algorithms: evaluation on the CEC 2014 benchmark set for real-parameter optimization Z Hu, Y Bao, T Xiong 2014 IEEE Congress on Evolutionary Computation (CEC), 2259-2265, 2014 | 48 | 2014 |

Forecasting air passenger traffic by support vector machines with ensemble empirical mode decomposition and slope-based method Y Bao, T Xiong, Z Hu Discrete Dynamics in Nature and Society 2012, 2012 | 42 | 2012 |

Identifying malicious web domains using machine learning techniques with online credibility and performance data Z Hu, R Chiong, I Pranata, W Susilo, Y Bao 2016 IEEE Congress on Evolutionary Computation (CEC), 5186-5194, 2016 | 37 | 2016 |

Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models W Ming, Y Bao, Z Hu, T Xiong The Scientific World Journal 2014, 2014 | 29 | 2014 |

Malicious web domain identification using online credibility and performance data by considering the class imbalance issue Z Hu, R Chiong, I Pranata, Y Bao, Y Lin Industrial Management & Data Systems 119 (3), 676-696, 2019 | 26 | 2019 |