个人简历

简 历
王龙博士，英国伦敦大学学院（University College London）杰出（Distinction）硕士，香港城市大学博士。主要从事机器学习、数据挖掘和计算机视觉及其工业应用等方面的研究。现为IEEE、IEEE工业电子学会和中国计算机学会会员，中国计算机学会计算机视觉专委会委员，是2014年香港政府博士奖学金（Hong Kong PhD Fellowship）获得者。目前担任SCI期刊IEEE Access (IF: 4.098) 和Canadian Journal of Electrical and Computer Engineering (IF: 1.53) 的副主编，PLOS ONE (IF: 2.776) 的学术编辑、编委，Intelligent Automation & Soft Computing (IF: 0.79) 和Water (2.524) 的客座编辑

研究领域

机器学习 数据挖掘 计算机视觉 计算智能 能源信息学"科研业绩
香港研究资助局主题研究计划“Safety

近期论文

代表性论文
1. L. Wang, Z. Zhang, and J. Chen, “Short-term Electricity Price Forecasting with Stacked Denoising Autoencoders,” IEEE Transactions on Power Systems, vol. 32, no. 4, July 2017. (IF: 6.807)
2. L. Wang, Z. Zhang, H. Long, J. Xu, and R. Liu, “Wind Turbine Gearbox Failure Identification with Deep Neural Networks,” IEEE Transactions on Industrial Informatics, vol. 13, no. 3, pp. 1360-1368, June 2017. (IF: 7.377)
3. L. Wang and Z. Zhang, “Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-taken Images,” IEEE Transactions on Industrial Electronics, vol. 64, no. 9, 2017. (IF: 7.503)
4. L. Wang, Z. Zhang, J. Xu, and R. Liu, “Wind Turbine Blade Breakage Monitoring with Deep Autoencoders,” IEEE Transactions on Smart Grid, vol. 9, no. 4, 2018. (IF: 10.486)
5. L. Wang, Z. Zhang, and X. Luo, “A Two-stage Data-driven Approach for Image based Wind Turbine Blade Crack Inspections,” IEEE-ASME Transactions on Mechatronics, vol. 24, no. 3, pp. 1271-1281, 2019. (IF: 4.943)
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