李校博

博士生导师：海洋技术、光学工程

硕士生导师：海洋技术、光学工程

海洋光学、计算成像、信号处理与解译、海洋计量

2016.09 - 2020.07 天津大学 光学工程 博士

2014.09 - 2020.07 天津大学 概率论与数理统计(硕博连读) 硕士

2010.09 - 2014.07 天津大学 数学与应用数学 本科

2019.08 - 2019.12 法国 巴黎萨克雷大学 光学工程(联合培养)

2022.07 - 至今 天津大学 海洋科学与技术学院 长聘/英才副教授

2020.12 - 2022.06 香港中文大学 机械与自动化工程系/CPII中心 博士后研究员/副研究员

本科生课程：海洋光学原理、人工智能导论

研究生课程：海洋激光技术、水下光学成像

[1] 国家自然科学基金青年项目，62205243，基于模型引导深度学习的低照度散射复合环境偏振成像研究，2023/01-2025/12，主持

[2] 航空科学基金，面向空中复杂背景弱小目标的红外偏振成像与智能识别感知技术研究，2024/05-2025/10，主持

[3] 天津市应用基础研究项目，面向海洋牧场智能养殖的新体制光学成像系统及增强算法研究，2023/10-2025/09，主持

[4] 天津市科技局天开高教科创园研发专项，智能海洋监测浮标平台的研制，2024/01-2025/12，主持

[5] 天津大学自主创新基金，2023XQM-0029，基于多维光信息的水下一体化成像系统及智能算法，2023/06-2025/05，主持

[6] 红外物理国家重点实验室开放课题, SITP-NLIST-YB-2023-07, 面向暗弱小目标智能探测识别的红外偏振成像技术研究，2023/07-2025/06，主持

[7] 农业农村部设施农业装备与信息化重点实验室开放基金，2011NYZD2201，面向智能水产养殖的超浑浊水下光学成像系统与算法研究，2023/01-2024/12，主持

主要代表学术论文(*通讯作者，†共同一作)：

2025年：

[1] Zhang, L., Li, X., Chen, W., (2025) CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction. IEEE Journal of Biomedical and Health Informatics, 3516758.

[2] Li, B., Chen, Z., Lu, L., Qi, P., Zhang, L., Ma, Q., ... & Li, X.* (2025). Cascaded frameworks in underwater optical image restoration. Information Fusion, 102809. ( IF=18.6，计算机科学一区ToP期刊)

[3] Liu H., Li, X.*, Cheng Z, et al. (2025). Polarimetric image denoising via non-local based cube matching convolutional neural network. Optics and Lasers in Engineering, 184: 108684.

[4] 胡浩丰，韩泽雄，黄一钊，翟京生，李校博* (2025). 基于全链路改进偏振蒙特卡洛仿真的水下光传输特性分析，应用光学，(已接受)

[5] 胡浩丰，王子涵，魏龙超，李校博* (2025). 基于改进秩一先验的图像去雾算法及其FPGA实现，应用光学，(已接受)

2024年：

[6] 胡浩丰,费筱茼,申凌皓,李校博* (2025). 基于偏振成像的水下非均匀光照图像恢复, 光学学报, 45(6).

[7] Wang, C.; Wu, Z.; Han, Z.; Wang, J.; Hu, H.; Li, X.*, (2024). Rethinking of Underwater Image Restoration Based on Circularly Polarized Light. Photonics, 11(8): 773.

[8] Han, N., Wang, C., ..., Li, X.*, (2024). Modulated Short-Time Fourier-Transform-Based Nonstationary Signal Decomposition for Dual-Comb Ranging Systems, Photonics, 11(6):560.

[9] Zhu, Z., Li, X.*, Zhai, J., Hu,. H.*, (2024). PODB: A learning-based polarimetric object detection benchmark for road scenes in adverse weather conditions, Information Fusion, 108, 102385. ( IF=18.6，计算机科学一区ToP期刊)

[10] Shi, H., Zhao, H., ..., Li, X.*, (2024). Enhanced dual-comb underwater ranging via an improved VMD algorithm, IEEE Journal of Oceanic Engineering, 49841-855. (海洋学一区 Top)

[11] Zhao, H., Shi, H, ..., Li, X.*, (2024). Enhanced underwater LiDAR via dual-comb interferometer and pulse coding, IEEE Transactions on Geoscience and Remote Sensing, 62, 4206511(一区)

[12] Li, X.*, Liu, F., Liang, J., (2024). Advanced Polarimetry and Polarimetric Imaging, Photonics, 11(4): 317. (Invited Editorial) https://www.mdpi.com/2304-6732/11/4/317

[13] Li, X., Goudail, F., (2024). Vortex retarder-based Stokes polarimeters: optimal data processing and autocalibration capability, Optics Letters, 49(7): 1696-1699. (Editors' Pick, 光学类ToP)

https://opg.optica.org/ol/viewmedia.cfm?uri=ol-49-7-1696

[14] Chen X, Liu C, Li X*, et al. (2024). Link prediction in bipartite networks via effective integration of explicit and implicit relations, Neurocomputing, 566: 127016. (计算机科学类 ToP)

[15] 胡浩丰, 黄一钊, 朱震，马千文，翟京生, 李校博* (2024). 基于深度学习复杂环境的偏振成像技术研究进展(Invited Review), 红外与激光工程, 53(3), 20240057.

https://mp.weixin.qq.com/s/oJUkck0fKs3IqJkoIVRGig

[16] 胡浩丰, 孙鑫, 翟京生, 李校博* (2024). 基于区域细节强化的偏振去散射方法, 激光与光电子学进展 61: 0211017.

2023年：

[17] Liu, X., Zhang, L., Zhai, X., Li, L., Zhou, Q., Chen, X., & Li, X. * (2023). Polarization Lidar: Principles and Applications. Photonics 10 (10), 1118. (Editor’s Pick, Feature Paper, 2021级本科生一作) https://www.mdpi.com/2304-6732/10/10/1118

[18] Zhang, W.†, Li, X.†, Xu, S., et al. (2023). Underwater Image Restoration Via Adaptive Color Correction and Contrast Enhancement Fusion. Remote Sensing, 15(19): 4699.

[19] Hu, H., Xu, S., …Li, X.* (2023). Enhancing Underwater Image via Color-Cast Correction and Luminance Fusion. IEEE Journal of Oceanic Engineering.

[20] Zhao, H., Shi, H., … Li, X.*, Xue, B.*, (2023). Direct measurement of underwater sound velocity via dual-comb system and matched filtering algorithm. IEEE Transactions on Instrumentation and Measurement, 72: 1007210.

[21] Li, X., Yan, L., Qi, P., et al., (2023) “Polarimetric Imaging via Deep Learning: A Review” Remote Sensing, 15, 1540. (ESI 高被引，首次同时涵盖光学偏振和极化遥感应用的综述性文章，Milestone!)

https://www.mdpi.com/2072-4292/15/6/1540

[22] Hu, H, Yang, S, Li, X.*, et al., (2023) “Polarized image super-resolution via a deep convolutional neural network,” Optics Express, 31, 8535-8547.

[23] 胡浩丰, 金慧烽, 李校博*, 等. (2023) 基于无监督学习的偏振图像去噪方法. 光学学报, 43(4): 0410001.

2022年：

[24] 胡浩丰，刘铁根，李校博 《偏振信息测量及其成像处理技术》科学出版社，2022.

[25] Hu, H., Huang, Y., Li, X.*, et al, (2022) “UCRNet: Underwater color image restoration via a polarization-guided convolutional neural network” Frontiers in Marine Science,1, 1-10.

[26] Li, X., Zhang, L., Qi, P., et al., (2022) “Are Indices of Polarimetric Purity Excellent Metrics for Object Identification in Scattering Media?” Remote Sensing, 14, 4148.

[27] Li, X., Liu, W., Goudail, F., & Chen, S., (2022) “Optimal nonlinear Stokes-Mueller polarimetry for multi-photon processes,” Optics Letters, 47, 3287-3290. (Milestone! 偏振光学优化技术首次应用于非线性多光子领域)

https://opg.optica.org/ol/abstract.cfm?uri=ol-47-13-3287

[28] Qi, P.†, Li, X.†, Zhang, L, et al., (2022) “U2R-pGAN: unpaired underwater-image recovery with polarimetric generative adversarial network”. Optics and Lasers in Engineering, 157, 107112.

[29] Li, X., Xu, J., Zhang, L., et al., (2022) “Underwater image restoration via Stokes decomposition,” Optics Letters, 47(11), 2854-2857.

[30] Li, X., Lu, W., Xu, X., Wang, Y., & Chen, S., (2022) “Advanced Optical Methods and Materials for Fabricating 3D Tissue Scaffolds,” Light: Advanced Manufacturing, 3:26. (Invited Review)

https://mp.weixin.qq.com/s/J5LGO4nznUptCRYls6cS6w

[31] Li, X., Han Y., Wang H., Liu, T., Chen, S. & Hu H., (2022) “Polarimetric imaging through scattering media: A review,” Frontiers in Physics, 153.

[32] Li, X., Goudail, F., & Chen, S., (2022) “Self-calibration for Mueller polarimeters based on DoFP polarization imagers,” Optics Letters, 47(6), 1415-1418.

[33] Liu, X., Li, X.*, & Chen, S.*, (2022) “Enhanced Polarization Demosaicking Network via a Precise AoP Loss Calculation Method,” Optics Letters, 47(5), 1065-1069.

2022年以前：

[34] Hu, H., Qi, P., Li, X.*, Cheng, Z., & Liu, T. (2021). Underwater imaging enhancement based on a polarization filter and histogram attenuation prior. Journal of Physics D: Applied Physics, 54(17), 175102.(编辑优选)

https://iopscience.iop.org/article/10.1088/1361-6463/abdc93

[35] Li, X., Goudail, F., Qi, P., Liu, T., & Hu, H. (2021). Integration time optimization and starting angle autocalibration of full Stokes imagers based on a rotating retarder. Optics Express, 29(6), 9494-9512.

[36] Hu, H., Lin, Y., Li, X.*, Qi, P., & Liu, T. IPLNet: a neural network for intensity-polarization imaging in low light. Optics Letters, 45(22), 6162, 2020.

[37] Li, X., Li, H., Lin, Y., Guo J., Yang, J., Yue, H., Li, K., Li, C., Cheng, Z., Hu, H., and Liu, T. Learning-based denoising for polarimetric images. Optics Express, 28(11), 16309-16321, 2020.

[38] Li, X., Le Teurnier, B., Boffety, M., Liu, T., Hu, H., & Goudail, F. Theory of autocalibration feasibility and precision in full Stokes imaging polarimeters. Optics Express, 28(10), 15268-15283, 2020.

[39] Li, X., Hu, H., Boffety, M., Roussel, S., Liu, T & Goudail, F. Optimal tradeoff between precision and sampling rate in DoFP imaging polarimeters. Optics Letters. 44(24), 5900-5903, 2019.

[40] Li, X.., Hu, H., Goudail, F. & Liu, T. Fundamental precision limits of full Stokes polarimeters based on DoFP polarization cameras for an arbitrary number of acquisitions. Optics Express, 27(22), 31261-31272, 2019.

[41] Goudail, F., Li, X., Boffety, M., Roussel, S., Liu, T., and Hu, H. Autocalibration precision of full-Stokes division-of-focal-plane imaging polarimeters. Optics Letters, 44(22), 5410-5413, 2019.

[42] Li, X., Hu, H., Wu, L., Yu. Y., & Liu, T. Impact of intensity integration time distribution strategy on Mueller polarimetry. Journal of Quantitative Spectroscopy & Radiative Transfer, 231,22-27, 2019.

[43] Li, X., Hu, H., Wu, L., & Liu, T. Optimal Measurement Matrix of Partial Polarimeter for Measuring Ellipsometric Parameters with Eight Intensity Measurements. IEEE Access, 7, 31494-31500, 2019.

[44] Li, X., Hu, H., Zhao, L., Wang, H., Han, Q., Cheng, Z., & Liu, T. Pseudo-polarimetric method for dense haze removal. IEEE Photonics Journal, 11(1), 6900611, 2019.

[45] Li, X., Wang, H., Hu, H., and Liu, T. Polarimetric underwater image recovery based on circularly polarized illumination and histogram stretching, Proc. SPIE AOPC 2019: Optical Sensing and Imaging Technology, 113382O, 2019.

[46] Li, X., Goudail, F., Hu, H., Han, Q., Cheng, Z., & Liu, T. Optimal ellipsometric parameter measurement strategies based on four intensity measurements in presence of additive Gaussian and Poisson noise. Optics Express, 26(26), 34529-34546, 2018.

[47] Li, X., Hu, H., Zhao, L., et. al., T. Polarimetric image recovery method combining histogram stretching for underwater imaging. Scientific Reports, 8(1), 12430, 2018. (Milestone!)

https://www.nature.com/articles/s41598-018-30566-8

[48] Li, X., Hu, H., Wang, H., Wu, L., & Liu, T. G. Influence of noise statistics on optimizing the distribution of integration time for degree of linear polarization polarimetry. Optical Engineering, 57(6), 064110, 2018.

[49] Li, X., Hu, H., Wu, L., & Liu, T. Optimization of instrument matrix for Mueller matrix ellipsometry based on partial elements analysis of the Mueller matrix. Optics Express, 25(16), 18872-18884, 2017.

[50] Li, X., Hu, H., Liu, T., Huang, B., & Song, Z. Optimal distribution of integration time for intensity measurements in degree of linear polarization polarimetry. Optics Express, 24(7), 7191-7200, 2016.

[51] Li, X., Liu, T., Huang, B., Song, Z., & Hu, H. Optimal distribution of integration time for intensity measurements in Stokes polarimetry. Optics Express, 23(21), 27690-27699, 2015.

入选中国科协“青年人才托举工程” 2023

入选全球前2%顶尖科学家 2024

天津市优秀博士学位论文 2023

中国光学学会王大珩光学奖(学子奖) 2021

第十四届“挑战杯”中国大学生创业计划竞赛全国金奖 指导教师 2024

第十届互联网+全国铜奖 指导教师 2024

第十届互联网+天津市金奖(省部级，排名第4) 指导教师 2024

第九届互联网+天津市金奖(省部级) 指导教师 2023

天津大学海洋学院青年教师讲课大赛 特等奖 2023

美国大学生数学建模H奖 指导教师 2024

红外与激光工程 年度优秀审稿人 2021

天津大学“优秀博士学位论文” 2020

天津大学优秀毕业生 2020

国家奖学金 2019

国家奖学金 2015

天津大学优秀毕业生 2014

天津大学“理学院十佳杰出青年”2012

中国光学学会、中国仪器仪表学会、中国光学工程学会、IEEE、Optica会员 2020-至今

AI Open (CiteScore 45) 青年编委

Remote Sensing (SCI JCR-2区) Lead Guest Editor

Photonics (SCI JCR-3区) Lead Guest Editor

《应用光学》期刊 青年编委

《大气与环境光学学报》期刊 青年编委

中国光学工程学会计算成像专业委员会 首届青年委员

土木与海洋工程国际会议技术委员会 委员

天津市光学学会光电技术专业委员会 委员

美国光学学会(Optica)期刊(Optics Letters、Optics Express、JOSA等)、美国物理学会(AIP)期刊、英国物理学会(IOP)期刊、ACS Photonics、Ocean Engineering、IEEE Transactions系列、Optics and Laser Technology、Optics and Lasers in Engineering、Remote Sensing、光学学报、红外与激光工程等期刊审稿人。