李现国

发布者:任洪自发布时间:2025-02-28浏览次数:8137

李现国

性别:男

籍贯:山东邹城市人

职称:教授

导师类型:博导、硕导 

E-Maillixianguo@tiangong.edu.cn

办公地点:电子与信息工程学院4A411

专业:电子信息、信息与通信工程

研究方向一:智能信息处理

研究方向二:无损检测技术与系统 

研究方向三:工矿企业安全监测监控技术与系统

学习经历:

1999.9-2003.7  曲阜师范大学,电子信息工程专业,学士学位;

2003.9-2006.7  郑州大学,物理电子学专业,硕士学位;

2007.9-2012.10天津工业大学,机械设计及理论专业,博士学位。

工作经历:

2006.7-至今  天津工业大学,教师。

科研情况:

长期从事带式输送机及输送带的安全检测与监控研究,主要围绕相关的光电检测、信号及图像处理、故障诊断、系统设计等技术开展工作。主持完成国家自然科学基金项目1项、省部级科研项目3项、局级科研项目1项;参加完成科研项目16项,其中国家级项目3项、省部级项目8项;发表科研学术论文103篇,其中SCIEI收录56篇;授权发明专利16项,新申请发明专利3项。

获奖情况:

2012年,入选天津市高校“优秀青年教师”。

2013年,获“天津市产学研联合突出贡献奖”。

2014年,获国家安监总局“第六届安全生产科技成果奖”三等奖。

2015年,入选天津市“131”第三层次创新型人才。

2015年,获天津市科学技术进步一等奖。

2017年,入选天津市高校“中青年骨干创新人才”。

2022年,获天津市科学技术进步一等奖。

代表性论文:

[1]  李现国,苗长云,张艳,王文. 基于统计特征的钢丝绳芯输送带故障自动检测[J]. 煤炭学报,2012, 37(7): 1233-1238.   (EI)

[2]  Li Xianguo, Long Xinyu, Jiang Hangqi, Long Houbiao. Influence of different cord pitch on the pullout force of steel cord conveyor belt splice[J].Journal of Adhesion Science and Technology, 2018, 32(20): 2268-2281. (SCI)

[3]  Xinyu Long, Xianguo Li, Houbiao Long. Analysis of influence of multiple steel cords on splice strength[J]. Journal of Adhesion Science and Technology, 2018, 32(24): 2753-2763.  (SCI)

[4]  Xianguo Li, Yemei Sun, Yanli Yang, Changyun Miao. Symmetrical Residual Connections for Single Image Super-Resolution. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2019, 15(1): 19-1-10. (SCI)

[5]  Feng Xinxin., Li xianguoLi Jianxiong. Multi-scale fractal residual network for image super-resolution [J]. Applied Intelligence, 2021,  51(4): 1845-1856. ( SCI)

[6]  李现国,曹明腾,李滨,刘意,苗长云. GPNet: 轻量型红外图像目标检测算法[J]. 红外与毫米波学报, 2022, 41(6): 1092-1101. (SCI)

[7]  Yang Xu, Li Xianguo, Meng deJun, Shi Jia, Miao Changyun. Optical fiber vibration sensor for bearing fault detection based on Sagnac interferometer[J]. Laser Physics, 2023, 33(6), 065101. (SCI)

[8]  Xianguo Li, Xingchen Yao, Yi Liu. Combining Swin Transformer and Attention-Weighted Fusion for Scene Text Detection [J]. Neural Processing Letters, 2024, 56(2): 1-22.SCI,  https://github.com/xgli411/ST-AWFNet

[9]  Li Xianguo, Wu Dongdong, Liu Yi, Chen Ying. Belt conveyor idler fault diagnosis method based on multi-scale feature fusion and residual mask convolution attention[J]. Insight - Non-Destructive Testing and Condition Monitoring, 2024, 66(2): 82-93. (SCI

[10] Xu Changyu, Li Jie, Li Xianguo. A Highly Efficient and Lightweight Detection Method for Steel Surface Defect[J]. Journal of Nondestructive Evaluation, 2024, 43(3),71.(SCIhttps://github.com/xgli411/HE-LightYOLO )

[11]  Li Xianguo, Li Xueyan, Shen Zhenqian, Qian Guangmin. Driver fatigue detection based on improved YOLOv7[J]. Journal of Real-Time Image Processing, 2024, 21(3), 75. (SCIhttps://github.com/1066480/ driver-fatigue-detection )

[12]  Yi Liu, Ying Chen, Xianguo Li, Xinyi Zhou, Dongdong Wu. MPNet: A lightweight fault diagnosis network for rotating machinery[J]. Measurement, 2025, 239, 115498. (SCI, TOP, https://github.com/xgli411/MPNet )

[13]  Li Xianguo, Zhangyu, Liu Yi, Yao Xingchen, Zhou Xinyi. Arbitrary shape text detection fusing InceptionNeXt and multi-scale attention mechanism[J]. Journal of Supercomputing, 2024.  (SCIhttps://github.com/yuyu678/ INANET )

[14] Li Xianguo, Xu Changyu, Li, Jie, Zhou Xinyi, Li Yang. Multi-scale sensing and multi-dimensional feature enhancement for surface defect detection of hot-rolled steel strip[J]. Nondestructive Testing and Evaluation, 2024. (SCI, https://github.com/xgli411/MRAMMAEH )

[15] Li Xianguo, Chen Ying, Liu Yi. A novel convolutional neural network with global perception for bearing fault diagnosis [J]. Engineering Applications of Artificial Intelligence, 2025, 143: 109986.SCITOPhttps:// github.com /xgli411/ Parc-ResMNet