RESEARCH INTERESTS

• Machine Learning and Predictive Analytics

• Evolutionary Computation (EC) and Applications

PUBLICATIONS (Google Scholar,ResearchGate)

Journal Papers (International)

• Zhongyi Hu, Yukun Bao, Raymond Chiong, Tao Xiong. Mid-term Interval Load Forecasting using Multi-output Support Vector Regression with a Memetic Algorithm for Feature Selection. 2015, Energy, 84:419-431. (SCI, IF=4.844)

• Zhongyi Hu, Yukun Bao, Tao Xiong, Raymond Chiong. Hybrid Filter-Wrapper Feature Selection for Short-Term Load Forecasting, Engineering Applications of Artificial Intelligence, 2015, 40:17-27. DOI:10.1016/j.engappai.2014.12.014. (SCI, IF=2.207)

• Tao Xiong, Yukun Bao, Zhongyi Hu, Raymond Chiong: Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms. Information Sciences. 2015;305:77-92. (SCI, IF=4.038)

• Tao Xiong, Chongguang Li, Yukun Bao, Zhongyi Hu, Lu Zhang: A combination method for interval forecasting of agricultural commodity futures prices. Knowledge-Based Systems. 2015;77:92-102. (SCI, IF=2.947)

• Zhongyi Hu, Yukun Bao, Tao Xiong: Comprehensive Learning Particle Swarm Optimization based Memetic Algorithm for Model Selection in Short-term Load Forecasting using Support Vector Regression. Applied Soft Computing 09/2014; 25:15-25. (SCI, IF=2.81)

• Tao Xiong, Yukun Bao, Zhongyi Hu: Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework. International Journal of Electrical Power & Energy Systems 06/2014; 63:353-362. (SCI, IF=3.432)

• Tao Xiong, Yukun Bao, Zhongyi Hu: Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting. Knowledge-Based Systems 01/2014; 55:87–100. (SCI/SSCI, IF=2.947)

• Tao Xiong, Yukun Bao, Zhongyi Hu: Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences. Neurocomputing 01/2014; 123:174-184. (SCI, IF=2.083)

• Yukun Bao, Zhongyi Hu, Tao Xiong: A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization. Neurocomputing 10/2013; 117:98-106. (SCI, IF=2.083, ESI-Hot Papers, ESI-Highly Cited Papers)

• Yukun Bao, Tao Xiong, Zhongyi Hu: PSO-MISMO Modeling Strategy for MultiStep-Ahead Time Series Prediction. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 07/2013; (SCI, IF=3.469)

• Tao Xiong, Yukun Bao, Zhongyi Hu: Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices. Energy Economics 07/2013; 40:405-415. (SSCI, IF=2.708)

• Yukun Bao, Tao Xiong, Zhongyi Hu: Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression. Neurocomputing 09/2013; (SCI/SSCI, IF=2.083 ESI-Highly Cited Papers)

Journal Papers (Domestic)

• Zhongyi Hu, Yukun Bao, Tao Xiong. PSO based Memetic Algorithms for Product Mix Problems. Operations Research and Management Science, 23(1):116-122, 2014. (in Chinese)

• Tao Xiong, Yukun Bao, Zhongyi Hu, Jinlong Zhang, Multi-step-ahead Prediction for Hu-Shen 300 Index Based on SOM and SVMs, Systems Engineering,2012, 30(10): 36-42. (in Chinese)

• Yunfei Yang, Yukun Bao, Zhongyi Hu, Rui Zhang. Crude Oil Price Prediction based on Empirical Mode Decomposition and Support Vector Machines, Chinese Journal of Management, 2010,7(12): 1884-1889. (in Chinese)

Conference Papers (International)

• Zhongyi Hu, Yukun Bao, Tao Xiong: Partial opposition-based adaptive differential evolution algorithms: Evaluation on the CEC 2014 benchmark set for real-parameter optimization. 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China; 07/2014

• Xude Gui, Zhongyi Hu, Jinlong Zhang, Yukun Bao, Assessing Personal Performance with M-SVMs. 2014 Seventh International Computational Sciences and Optimization (CSO), Beijing, China, 07/2014

• Tao Xiong, Zhongyi Hu, Yukun Bao: An Improved EEMD-based Framework for CPI Forecasting. 2012 Fifth International Joint Conference on Computational Sciences and Optimization (CSO); 03/2012

PROJECTS (RESEARCH GRANTS)

Government-funded grants

• Participator, “Forecasting with Searching Data”. MOE (Ministry of Education in China) Project of Humanities and Social Science (Project No.13YJA630002)

• Participator, “Research on Intelligent Support Vector Regression Based Forecasting Method”. National Natural Science Fund of China (No. 70771042).

Corporate-funded grants

• Principal Investigator, “Research on Key Technologies of Time Series Forecasting based on Evolutionary Computation Techniques”. Doctoral Dissertation Grant of Huazhong University of Science & Technology.

• Participator, “Long-term Forecasting of CPI based on Multivariate Time Series”. Graduate Student Innovative Grants of Huazhong University of Science & Technology.

AWARDS AND HONORS

• Outstanding Graduate of Huazhong University of Science & Technology (2015)

• National Scholarship (2014, #1)

• Excellent Master Dissertation of Hubei Province (2013)

EDITORIAL BOARDS

Invited Reviewer for:

• IEEE Transactions on Cybernetics, European Journal of Operational Research, Knowledge-based Systems, Applied Soft Computing, Neurocomputing, Neural Computing & Applications, Computational Economics , Swarm and Evolutionary Computation