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LI Tengyue

SOURCE :     TIME:2024-10-08

NameLI Tengyue


TitleLecturer

Emailltyouc@qq.com

Research Interests

1. Intelligent recognition of rock mass structural   planes based on deep neural networks

2. Construction of high-precision slope surface   model for high steep slopes

3. UAV image optimization and multi-source detection   and recognition of structural surfaces


Education

2017.09-2022.06, Ocean University of China,   College of Electrical Engineering, PhD degree

2021.01-2022.03, University of Leicester, College   of Computing and Mathematical Sciences, Visiting scholar

2013.09-2015.06, Ocean University of China,   College of Physics and Optoelectronic Engineering, Master degree

2009.09-2013.06, Ocean University of China,   College of Electrical Engineering, Bachelor degree


Professional Positions

2024.07-Current, Jilin University-China,   Lecturer    

2022.08-2024.07, Jilin University-China,   Postdoctoral Researcher  

2015.08-2017.08, Hisense, R & D Engineer  


Publications

[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.


Projects

2023-2024, The Special Fund of Key Laboratory of   Geoghysical Exploration Equipment, Ministry of Education (Jilin University)

2023-2024, The China Postdoctoral Science Fund

2023-2025, The Badong National Observation and   Research Station of Geohazards Fund

2018-2020, Independent Project for Graduate   Students of Ocean University of China


Patents

1. T. Li, P. He, J. Jiang, Q. Sha; High power   underwater light source for deep-sea environments, April 10, 2020, China,   ZL202020514086.0

2. B. He, T. Li, C. Feng, Y. Wang, Q. Liu, L.   Cheng; An underwater binocular vision cabin protection device equipped with   an optical lighting system, January 8, 2019, China, ZL20192027052.6

3. C. Feng, X. Zheng, T. Li, L. Cheng, B. He, G.   Li; Autonomous Underwater Vehicle Navigation Data Analysis Method Based on   Complex Network Construction, January 11, 2019, China, ZL201910028697.6

4. S. Rong, W. Zhao, B. He, T. Li, X. Cao, Y.   Liu, Y. Shen, R. Nian, C. Feng, T. Yan, G. Li; Underwater Image Color   Enhancement Method Based on Potential Low Rank Representation and Image   Fusion, August 14, 2020, China, ZL202010815229.6


Honors and Awards

1. Outstanding Graduates from Shandong Province and   Ocean University of China (2022)

2. Joint Doctoral Scholarship for Public Training by   the China Scholarship Council (2021)

3. Annual Person of the Year for Graduate Students   at Ocean University of China (2020)


Courses:

Postgraduate Courses: Intelligent Engineering   Geology



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