黄超博士💂‍♀️，现为天辰娱乐副教授。2011年于哈尔滨工业大学获学士学位，2013年于法国贡比涅技术大学获硕士学位👨‍🎓，2017年于香港城市大学获博士学位。曾荣获“北科青年学者”🔁、“澳门大学濠江学者”等荣誉称号🤨。他的研究兴趣包括数据挖掘、计算智能及其在能源领域的应用。主持国家自然科学基金项目2项、北京市自然科学基金项目1项🙍🏿🧔🏻‍♀️、广东省基础与应用基础研究基金项目1项。以第一作者/通讯作者发表SCI/EI论文20余篇。

1) Chao Huang, Hongcai Zhang*, Yonghua Song, Long Wang, Tanveer Ahmad, and Xiong Luo, “Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost”, IEEE Transactions on Smart Grid, vol. 12, no. 4, pp. 3043-3055, 2021.

2) Hao Yang, Chao Huang*, Ximing Nie, Long Wang, Xiran Liu, Xiong Luo, and Liping Liu*, “IS-Net: Automatic Ischemic Stroke Lesion Segmentation on CT Images”, IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 7, no. 5, pp. 483-493, 2023. 

3) Chao Huang, Hongcai Zhang*, Long Wang, Xiong Luo, Yonghua Song, “Mixed deep reinforcement learning considering discrete-continuous hybrid action space for smart home energy management”, Journal of Modern Power Systems and Clean Energy, vol. 10, no. 3, pp.743-754, 2022.

4) C. Huang, L Wang*, and L. L. Lai, “Data-driven Short-term Solar Irradiance Forecasting Based on Information of Neighboring Sites”, IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9918-9927, 2019.

5) C. Huang, L. Wang, R. S. C. Yeung, Z. Zhang*, H. S. H. Chung, and A. Bensoussan, “A prediction model guided Jaya algorithm for the PV system maximum power point tracking,” IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 45-55, 2018.

6) C. Huang, L. Wang, Z. Zhang*, R. S. C. Yeung, A. Bensoussan, and H. S. H. Chung, “A Novel Spline Model Guided Maximum Power Point Tracking Method for Photovoltaic Systems”, IEEE Transactions on Sustainable Energy, vol. 11, no. 3, pp. 1309-1322, 2020.

7) C. Huang, J. Zhang, L. Cao, L. Wang*, X. Luo, J. Wang, and A. Bensoussan, “Robust Forecasting of River-flow Based on Convolutional Neural Network”, IEEE Transactions on Sustainable Computing, vol. 5, no. 4, pp. 594-600, 2020.

8) C. Huang, Z. Zhang, and L. Wang*, “PSOPruner: PSO-Based Deep Convolutional Neural Network Pruning Method for PV Module Defects Classification”, IEEE Journal of Photovoltaics, vol.12, no. 6, pp. 1550-1558, 2022.

9) L. Wang, J. Yang, C. Huang*, and X. Luo, “An Improved U-Net Model for Segmenting Wind Turbines From UAV-Taken Images”, IEEE Sensors Letters, vol. 6, no. 7, 2022.

10) H. Yang, C. Huang*, L. Wang, and X. Luo, “An improved encoder-decoder network for ore image segmentation”, IEEE Sensors Journal, vol. 21, no. 10, pp. 11469-11475, 2021. 

1）国家自然科学基金1项（62002016）🎵，主持

2）北京市自然科学基金1项（9204028），主持

3）广东省基础与应用基础基金1项（2019A1515111165），主持