北京科技大学计算机与通信工程学院-黄超

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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.