郑晓隆 讲师(高校)电子信息学院(集成电路科学与工程学院)
职务: 毕业院校:
中科院自动化所
邮件: xlzheng@hdu.edu.cn
办公地点:
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郑晓隆 讲师(高校)电子信息学院(集成电路科学与工程学院)
职务: 毕业院校:
中科院自动化所
邮件: xlzheng@hdu.edu.cn
办公地点:
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个人简介
教育经历
(1) 2005-09 至 2008-06, 中国科学院自动化研究所, 模式识别与智能系统, 博士 工作经历
2008年-至今 杭州电子科技大学 讲师
社会职务
研究领域
1)机器学习在材料科学中的应用 2)文档图像处理 3)基于视觉的电力系统监控技术研究 教学与课程
纵向科研
横向科研
论文
[1]Xiaolong Zheng*, Jiangnan Xie, Lili Li, Weipeng Xuan, Hui Zheng and Zhihua Ying,Estimating concentrations of atmospheric pollutants in mixed gases based on deep convolutional network with time series decomposition. Analytical Methods, 17, 9262-9273,2025. [2]Kewen Lan, Xiaolong Zheng*, Shuai Li, Ji Hu, Lihuan Shao, AMFA-Net: Aerial power line segmentation network based on attention mechanism and feature aggregation, Measurement, Volume 257, Part B, 118684, 2026. [3]Jiangnan Xie, Xiaolong Zheng*, Zhihua Ying, Hui Zheng, Liang Zheng,Enhancing material property prediction via a dual stream model fusing spatial and topological information,Computational Materials Science,Volume 250,113693,2025. [4]Shuai Li, Xiaolong Zheng*, Kewen Lan, Ji Hu, Guangqin Wu, Lihuan Shao. Scene handwritten text erasure based on multi-scale feature fusion, International Journal on Document Analysis and Recognition (IJDAR),2024. [5]Xiao He, Xiaolong Zheng*, Xiyu Hao, Heng Jin, Xiangming Zhou, Lihuan Shao. Improving small object detection via context-aware and feature-enhanced plug-and-play modules. Journal of Real-Time Image Processing, Vol.21, No.44, 2024. [6]Ziteng Hu, Xiaolong Zheng*, Shuai Wang, Guangming Xu, Huanhuan Wu, Liang Zheng, Chenggang Yan. All-day Image Alignment for PTZ Surveillance Based on Correlated Siamese Neural Network. Signal, Image and Video Processing,Vol.18:615–624, 2024. [7] Rubin Zhao, Xiaolong Zheng*, Zhihua Ying, Lingyan Fan. Localization of Pointed-At Word in Printed Documents via a Single Neural Network. IEICE Transactions on Information and Systems, 2022, E105.D(5): 1075-1084. [8]Xiaolong Zheng, Peng Zheng, Liang Zheng, Yang Zhang, Rui-Zhi Zhang. Multi-channel convolutional neural networks for materials properties prediction. Computational Materials Science, 2020, 173: 109436. [9]Xiaolong Zheng, Peng Zheng, Ruizhi Zhang. Machine learning material properties from the periodic table using convolutional neural networks. Chemical Science, 2018, 44(9): 8426-8432. 科研成果
著作
专利成果
荣誉及奖励
软件成果
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