研究方向：

室内定位、物联网、人工智能、优化算法

代表性研究成果：

[1]Ang Li, Jingqi Fu, Huaming Shen and Sizhou Sun. A Cluster Principal Component Analysis Based Indoor Positioning Algorithm [J]. IEEE Internet of Things Journal, 2021, 8(1): 187-196. (SCI)

[2]李昂, 付敬奇, 沈华明, 孙泗洲. 基于模糊聚类和猫群算法的室内定位算法 [J]. 仪器仪表学报, 2020, 41(01):185-194. (EI)

[3]Ang Li, Jingqi Fu, Aolei Yang and Huaming Shen. A New RSS Fingerprinting-Based Location Discovery Method Under Sparse Reference Point Conditions [J]. IEEE Access, 2019, 7: 13945-13959. (SCI)

[4]Ang Li, Jingqi Fu and Huaming Shen. Research on Indoor Fingerprint Localization System Based on Voronoi Segmentation [C]. International Conference on Life System Modeling and Simulation (LSMS) / International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE), 2017, 761: 303-312. (EI)

[5]Sizhou Sun, Jingqi Fu, Ang Li, Pinggai Zhang. A new compound wind speed forecasting structure combining multi-kernel LSSVM with two-stage decomposition technique [J]. Soft Computing, 2021, 25(2), 1479-1500. (SCI)

[6]Huaming Shen, Feng Ran, Meihua Xu, Allon Guez, Ang Li and Aiying Guo. An Automatic Sleep Stage Classification Algorithm Using Improved Model Based Essence Features [J]. Sensors, 2020, 20(17): 4677. (SCI)

[7]Sizhou Sun, Jingqi Fu, Lisheng Wei and Ang Li. Multi-Objective Optimal Dispatching for a Grid-Connected Micro-Grid Considering Wind Power Forecasting Probability [J]. IEEE Access, 2020, 8: 46981-46997. (SCI)

[8]Sizhou Sun, Jingqi Fu and Ang Li. A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches [J]. ENERGIES, 2019, 12(18). (SCI)

[9]Huaming Shen, Meihua Xu, Allon Guez, Ang Li and Feng Ran. An Accurate Sleep Stages Classification Method Based on State Space Model [J]. IEEE Access, 2019, 7: 125268-125279. (SCI)

[10]Jian Li, Jingqi Fu, Ang Li, Weihua Bao and Zhengming, Gao. An Improved WKNN Indoor Fingerprinting Positioning Algorithm Based on Adaptive Hierarchical Clustering [C]. International Conference on Life System Modeling and Simulation (LSMS) / International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE), 2017, 761: 253-262. DOI: 10.1007/978-981-10-6370-1_25. (EI)