个人简介
博士（数据科学），香港城市大学， 2020
学士（测控技术与仪器），华中科技大学， 2016
研究领域
数据挖掘、机器学习和计算机视觉及其在智能交通、新能源领域的应用
近期论文
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1. L. Zhuang , H. Qi, T. Wang, and Z. Zhang, A deep learning powered near real-time
detection of railway track major components: A two-stage computer vision based
method, IEEE Internet of Things Journal , 2022.
2. R. Li, L. Zhuang * , Y. Li * , and C. Shen, Intelligent bearing fault diagnosis
based on scaled ramanujan filter banks in noisy environments, IEEE Transactions
on Instrumentation and Measurement , 2021.
3. L. Zhuang , H. Qi, Z. Zhang, The automatic rail surface multi-flaw
identification based on a deep learning powered framework, IEEE Transactions on
Intelligent Transportation Systems , 2021
4. Z. Zheng, H. Qi, L. Zhuang * , Z. Zhang * , Automated rail surface crack
analytics using deep data-driven models and transfer learning, Sustainable
Cities and Society , vol. 70, 2021.
5. L. Zhuang , L. Cao, Y. Wu, et al., Parameter estimation of lorenz chaotic system
based on a hybrid jaya-powell algorithm, IEEE Access , vol. 8, pp. 20514–20522,
2020.
6. L. Zhuang , Z. Zhang, L. Wang, The automatic segmentation of residential solar
panel s based on satellite images: A cross learning driven U-Net method, Applied
Soft Computing , 92, 2020.
7. L. Wang, L. Zhuang , Z. Zhang, Automatic detection of rail surface cracks with a
superpixel-based data-driven framework, Journal of Computing in Civil
Engineering , vol. 33, 2018.
8. L. Zhuang , L. Wang, Z. Zhang, Automated vision inspection of rail surface
cracks: A double-layer data-driven framework, Transportation Research Part C ,
vol. 92, pp. 258-277, 2018.
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