教育背景 1992 - 1996：华中理工大学管理信息系统专业，获学士学位 1996 - 1999：华中理工大学管理科学与工程专业，获硕士学位 1999 - 2002：华中科技大学管理科学与工程专业，获博士学位 2002.7 - 2004.10：华中科技大学计算机科学与技术流动站，博士后 海外访问 / 进修 2005 - 2007：英国兰卡斯特大学预测研究中心 / 管理学院，Visiting Research Fellow 2014.12：香港城市大学商学院访问教授（田家炳基金资助） 2015 - 至今（定期访问）：澳大利亚纽卡斯尔大学访问教授 2017.10：沙特阿拉伯阿卜杜拉阿齐兹国王大学访问教授

商业预测与决策、营销科学、电子商务/互联网经济商业模式、商务谈判理论与实务

能源与商业预测（人工智能与大数据）、商业数据分析、信息系统（医疗与教育）、电力市场

[1] Deng, C., Huang, Y., Hasan, N., & Bao, Y*. (2022). Multi-step-ahead Stock Price Index Forecasting using Long Short-Term Memory Model with Multivariate Empirical Mode Decomposition. Information Sciences. [2] Huang, Y., Hasan, N., Deng, C., & Bao, Y*. (2022). Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting. Energy, 239, 122245. [3] Yang, S., & Bao, Y* (2021). Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction. Applied Soft Computing, 107994. [4] Zhang, X., He, K. and Bao, Y*., 2021. Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks. Neurocomputing, 459, pp.234-248. [5] Ma, Richie Ruchuan, Tao Xiong, and Yukun Bao. "The Russia–Saudi Arabia oil price war during the COVID-19 pandemic." Energy Economics (2021): 105517. [6] Deng, C., Zhang, X., Huang, Y. and Bao, Y*, 2021. Equipping Seasonal Exponential Smoothing Models with Particle Swarm Optimization Algorithm for Electricity Consumption Forecasting. Energies, 14(13), p.4036. [7] Tao Xiong, Chongguang Li, and Yukun Bao*. Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China. Neurocomputing, 2018, 275: 2831-2844. (SCI) [8] Atuahene S, Bao Y*, Ziggah Y, et al. Short-Term Electric Power Forecasting Using Dual-Stage Hierarchical Wavelet-Particle Swarm Optimization-Adaptive Neuro-Fuzzy Inference System PSO-ANFIS Approach Based On Climate Change[J]. Energies, 2018, 11(10): 2822. (SCI) [9] Zhongyi, Hu, Yukun Bao*, Raymond, Chiong., & Tao Xiong. Profit Guided or Statistical Error Guided? A Study of Stock Index Forecasting Using Support Vector Regression. Journal of Systems Science and Complexity, 2017, 30(6), 1425-1442.(SCI) [10] Tao Xiong, Chongguang Li, and Yukun Bao*. An improved EEMD-based hybrid approach for the short-term forecasting of hog price in China. Agricultural Economics (Zemědělská Ekonomika) 63.3 (2017): 136-148. (SSCI) [11] Tao Xiong, Chongguang Li, and Yukun Bao*. Interval-valued time series forecasting using a novel hybrid Holt I and MSVR model." Economic Modelling, 60 (2017): 11-23. (SSCI) [12] Tao Xiong, Yukun Bao*, Zhongyi Hu, Raymond Chiong. Forecasting Interval Time Series Using Fully Complex-valued RBF Neural Network with DPSO and PSO Algorithm. , Information Sciences, 2015, 305:77-92. (SCI, IF:3.893)DOI: 10.1016/j.ins.2015.01.029 [13] Zhongyi Hu, Yukun Bao*, Raymond Chiong. Mid-term Interval Load Forecasting using Multi-output Support Vector Regression with a Memetic Algorithm for Feature Selection. Energy, 2015, 84:419-431. (SCI, IF:4.159, ESI highly cited paper) DOI:10.1016/j.energy.2015.03.054