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李腾跃

发布日期:2024-10-08 作者: 编辑:周甲木 点击:



简介

李腾跃,男,生于19908月,工学博士,讲师。

邮箱:ltyouc@qq.com


教育背景

2017.09-2022.06,中国海洋大学,电子工程学院,智能信息与通信系统,工学博士

2021.01-2022.03,莱斯特大学,计算与数学科学学院,计算机科学与技术,博士联合培养

2013.09-2015.06,中国海洋大学,物理与光电工程学院,光学工程,工程硕士

2009.09-2013.06,中国海洋大学,电子工程学院,电子信息科学与技术,理学学士


工作经历

2024.07-今,吉林大学,讲师

2022.08-2024.07,吉林大学,博士后

2015.08-2017.08,海信集团,工程师


研究方向

1. 基于深度神经网络的岩体结构面智能识别

2. 高陡岩质斜坡高精度坡表模型构建

3. 无人机图像优化与结构面多源探测识别


主持项目

1. 中国博士后科学基金面上项目,项目名称:高陡岩质斜坡结构面多源光学视觉自动识别研究,主持,2023-2024

2. 湖北巴东地质灾害国家野外科学观测研究站开放基金,项目名称:岩质斜坡多源图像智能融合与结构面大数据识别研究,主持,2023-2025

3. 地球信息探测仪器教育部重点实验室(吉林大学)开放课题项目,项目名称:高陡斜坡结构面特征的多源数据探测技术研究,主持,2023-2025

4. 中央高校基本科研业务费中国海洋大学研究生自主立项项目,项目名称:基于光学视觉系统的AUV水下典型目标识别算法研究,主持,2018-2020


发表论文

[1]W. Zhang, M. Wei, Y. Zhang, T. Li*, et al. Discontinuity development patterns and the challenges for 3D discrete fracture network modeling on complicated exposed rock surfaces. Journal of Rock Mechanics and Geotechnical Engineering. 2023: 1-18, https://doi.org/10.1016/j.jrmge.2023.09.004.

[2]T. Li, S. Rong*, L. Chen, et al. Underwater motion deblurring based on cascaded attention mechanism. IEEE Journal of Oceanic Engineering. 2024, 49(1): 262-278, https://doi.org/10.1109/JOE.2022.3192047.

[3]T. Li, S. Rong*, W. Zhao, et al. Underwater image enhancement framework using adaptive color restoration and dehazing. Optics Express, 2022, 30(4): 6216-6235, https://doi.org/10.1364/OE.449930.

[4]T. Li*. Restoration of UAV-based backlit images for geological mapping of a high-steep slope. Sensors, 2024, 24(5): 1-18, https://doi.org/10.3390/s24051586.

[5]T. Li, Q. Yang, S. Rong*, et al. Distorted underwater image reconstruction for an autonomous underwater vehicle based on a self-attention generative adversarial network. Applied Optics, 2020, 59(32): 10049-10060, https://doi.org/10.1364/AO.402024.

[6]T. Li, S. Rong*, X. Cao, et al. Underwater image enhancement framework and its application on an autonomous underwater vehicle platform. Optical Engineering, 2020, 59(8): 083102, https://doi.org/10.1117/1.OE.59.8.083102.

[7]T. Li, L. Chen, S. Rong*, et al. Underwater image deblurring framework using a generative adversarial network. In Proceedings of the IEEE Conference on Oceans, pp. 1-4 (2022), https://doi.org/10.1109/OCEANSChennai45887.2022.9775336.

[8]T. Li and C. Ma. (2022, October). A hybrid image enhancement framework for underwater 3D reconstruction. In Proceedings of the IEEE Conference on Oceans, pp. 1-5 (2022), https://doi.org/10.1109/OCEANS47191.2022.9977066.

[9]L. Chen, T. Li, A. Zhou, S. Wang, J. Dong, and H. Zhou*. Underwater object detection in noisy imbalanced datasets. Pattern Recognition, 2024, 155: 1-12, https://doi.org/10.1016/j.patcog.2024.110649.

[10]W. Zhang, J. Han, C. Lu, H. Liu, J. Chen, J. Wang, T. Li, and J. Chen*. Geometric searching of 3D critical slip surface of a non-persistent fracture-dominated rock slope. Computers and Geotechnics, 2024, 173: 1-19, https://doi.org/10.1016/j.compgeo.2024.106493.

[11]董文川, 张文*, 李腾跃, 陈俊淇, 王佳, 李万堃, 尹韩, 赵潇涵, 蓝升, 潘晓娟. 高陡岩质斜坡坡表实景模型构建与岩体结构面自动解译方法及平台研发. 地球科学与环境学报, 2022, 44(6): 1066-1082.

[12]X. Zheng, C. Feng*, T. Li, and B. He. Analysis of autonomous underwater vehicle (auv) navigational states based on complex networks. Ocean Engineering, 2019, 187: 106141, https://doi.org/10.1016/j.oceaneng.2019.106141.

[13]W. Zhao, S. Rong*, T. Li, J. Feng, and B. He. Enhancing underwater imagery via latent low-rank decomposition and image fusion. IEEE Journal of Oceanic Engineering2023, 48(1): 147-159, https://doi.org/10.1109/JOE.2022.3192089.

[14]郑旭, 冯晨*, 李腾跃, 程伦,何波. 基于改进预处理算法的复杂网络构建与分析. 中国海洋大学学报 (自然科学版), 2020, 50(7): 143-152, https://doi.org/10.16441/j.cnki.hdxb.20190017.

[15]W. Zhao, S. Rong*, T. Li, X. Cao, Y. Liu, and B. He, Underwater single image enhancement based on latent low-rank decomposition and image fusion. In Proceedings of the Twelfth International Conference on Graphics and Image Processing. 11720: 1172018(2021), https://doi.org/10.1117/12.2589359.

[16]Y. Liu, S. Rong*, X. Cao, T. Li, and B. He. Underwater image dehazing using the color space dimensionality reduction prior. In Proceedings of the IEEE International Conference on Image Processing. pp.1013-1017 (2020), https://doi.org/10.1109/ICIP40778.2020.9190901.

[17]Y. Liu, S. Rong*, X. Cao, T. Li, and B. He. Underwater single image dehazing using the color space dimensionality reduction prior. IEEE Access, 2020, 8: 91116-91128, https://doi.org/10.1109/ACCESS.2020.2994614.

[18]X. Cao, S. Rong*, Y. Liu, T. Li, Q. Wang, and B. He. NUICNet: Non-uniform illumination correction for underwater image using fully convolutional network. IEEE Access, 2020, 8: 109989-110002, https://doi.org/10.1109/ACCESS.2020.3002593.


专利

1.李腾跃,何萍,江景涛,沙启鑫;用于深海环境下的大功率水下光源, 2020-4-10,中国,ZL202020514086.0

2.何波,李腾跃,冯晨,王玉虎,刘青松,程伦;一种配有光学照明系统的水下双目视觉舱体保护装置,2019-1-8,中国,ZL201920027052.6

3.冯晨,郑旭,李腾跃,程伦,何波,李光亮;基于复杂网络构建的自主式水下航行器航行数据分析方法,2019-1-11,中国,ZL201910028697.6

4.荣生辉,赵文凤,何波,李腾跃,曹雪婷,刘永彬,沈钺,年睿,冯晨,严天宏,李光亮;基于潜在低秩表示和图像融合的水下图像颜色增强方法,2020-8-14,中国,ZL202010815229.6


荣誉&奖励

2022 山东省优秀毕业生 & 中国海洋大学优秀毕业生

2021 国家留学基金管理委员会公派联合培养博士奖学金

2020 中国海洋大学研究生年度人物


课程

研究生课程:智能工程地质


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