柳彬

发布日期:2024-02-23

浏览次数:583

一、基本信息

出生:                       1985/6

邮箱:                       bliu@shou.edu.cn

二、研究领域与主要学术成果

主要研究领域人工智能海洋学、人工智能渔业学、雷达遥感、图像处理、机器学习。在National Science Review、Science Advances、IEEE TGRS、JGR: Oceans等高水平SCI期刊上合计发表论文17篇(一作6篇、通信作者6篇),出版中文专著一本、中文专著章节一章、英文专著章节三章。论文合计被引次数逾1400次,其中2篇被引在200次以上、2篇被引在100次以上(根据谷歌学术)。两期获聘卫星海洋环境动力学国家重点实验室青年访问海星学者(2020-2021,2022-2023)。在MDPI Remote Sensing和MDPI Fishes期刊的人工智能海洋学、人工智能渔业学专刊担任客座编辑。

三、教育背景

博士学位,上海交通大学,信号与信息处理,2009/9 – 2015/6 (导师:刘兴钊)

访问博士生,法国巴黎高科电信学院,2012 – 2013 (导师:Florence Tupin

硕士学位,上海交通大学,信号与信息处理,2007/9 – 2009/6 (导师:刘兴钊)

学士学位,上海交通大学,电子工程系,2003/9 – 2007/6 top 5%

四、工作经历

讲师,上海海洋大学,皇冠hga030登录官网,2024/1 – 至今

讲师,上海海洋大学,海洋科学学院,2020/9 – 2024/1

师资博士后,上海海洋大学,海洋科学学院,2018/6 – 2020/8

专职科研人员,上海交通大学,电子信息与电气工程学院,2015/12 – 2018/5

五、主要期刊论文(按时间倒序排列,*表明通讯作者,列出的影响因子IF均为2019年影响因子

1. M. Xie, B. Liu(*), X. Chen(*), W. Yu, J. Wang. Deep learning-based fishing ground prediction in asymmetric spatiotemporal scale: A case study of Ommastrephes bartramii. Fishes. 2024. 9(2): 64. (IF: 2.3)

2. G. Liu, B. Liu(*), G. Zheng, and X. Li(*). Environment Monitoring of Shanghai Nanhui Intertidal Zone With Dual-Polarimetric SAR Data Based on Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. August 8, 2022. (IF: 8.2)

3. Y. Wang, G. Zheng(*), X. Li(*), L. Zhou, B. Liu, P. Chen, L. Ren, and X. Li. An Automatic Algorithm for Estimating Tropical Cyclone Centers in Synthetic Aperture Radar Imagery. IEEE Transactions on Geoscience and Remote Sensing. August 30, 2021. (IF: 8.2)

4. C. Wang, G. Zheng, X. Li, Q. Xu(*), B. Liu, and J. Zhang. Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. March 26, 2021. (IF: 8.2)

5. G. Zheng, X. Li(*), R.-H. Zhang, and B. Liu. Purely satellite data-driven deep learning forecast of complicated tropical instability waves. Science Advances, 2020. 6(29): eaba1482. (IF: 13.6)

6. X. Li, B. Liu, G. Zheng, Y. Ren, S. Zhang, Y. Liu, L. Gao, Y. Liu, B. Zhang, and F. Wang(*). Deep Learning-based Information Mining from Ocean Remote Sensing Imagery. National Science Review, 2020. 7(10): 1584--1605. (IF: 20.6)

7. B. Liu, X. Li(*), G. Zheng. Coastal Inundation Mapping From Bitemporal and Dual‐Polarization SAR Imagery Based on Deep Convolutional Neural Networks. Journal of Geophysical Research: Oceans, 2019, 124(12): 9101--9113. (IF: 3.6)

8. H. Hu, B. Liu(*), Z. Zhang, W. Guo, and W. Yu. Superpixel generation for synthetic aperture radar imagery using edge-dominated local clustering. Journal of Applied Remote Sensing, 2018, 12(4), 045006. (IF: 1.7)

9. B. Li, B. Liu(*), W. Guo, Z. Zhang, and W. Yu. Ship Size Extraction for Sentinel-1 Images Based on Dual-Polarization Fusion and Nonlinear Regression: Push Error Under One Pixel. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(8): 4887--4905. (IF: 8.2)

10. L. Huang, X. Li(*), B. Liu, J. A. Zhang, D. Shen, Z. Zhang, and W. Yu. Tropical Cyclone Boundary Layer Rolls in Synthetic Aperture Radar Imagery. Journal of Geophysical Research: Oceans. 2018, 123(4): 2981--2996. (IF: 3.6)

11. L. Huang, B. Liu(*), B. Li, W. Guo, W. Yu, Z. Zhang, and W. Yu. OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(1): 195--208. (IF: 5.5)

12. L. Huang, B. Liu(*), X. Li, Z. Zhang, and W. Yu. Technical Evaluation of Sentinel-1 IW Mode Cross-Pol Radar Backscattering from the Ocean Surface in Moderate Wind Condition. Remote Sensing, 2017, 9(8): 854. (IF: 5.0)

13. B. Liu, Z. Zhang, X. Liu, and W. Yu. Representation and spatially adaptive segmentation for PolSAR images based on Wedgelet analysis. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(9): 4797--4809. (IF: 8.2)

14. B. Liu, Z. Zhang, X. Liu, and W. Yu. Edge Extraction for Polarimetric SAR Images Using Degenerate Filter With Weighted Maximum Likelihood Estimation. IEEE Geoscience and Remote Sensing Letters, 2014, 11(12): 2140--2144. (IF: 4.8)

15. B. Liu, H. Hu, H. Wang, K. Wang, X. Liu, and W. Yu. Superpixel-based classification with an adaptive number of classes for polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(2): 907--924. (IF: 8.2)

16. B. Liu, H. Wang, Q. Yu, X. Liu, and W. Yu. A novel ship detection approach in polarimetric SAR images based on a foreground/background separation framework. Chinese Journal of Electronics, 2013, 22(3): 641--647. (IF: 1.2)

17. B. Liu, H. Wang, K. Wang, X. Liu, and W. Yu. A foreground/background separation framework for interpreting polarimetric SAR images. IEEE Geoscience and Remote Sensing Letters, 2011, 8(2): 288--292. (IF: 4.8)

六、科研专著与专著章节

1. B. Liu, X. Li, and G. Zheng. Deep Convolutional Neural Networks-Based Coastal Inundation Mapping from SAR Imagery: with One Application Case for Bangladesh, a UN-defined Least Developed Country. In Artificial Intelligence Oceanography (Editors: X. Li and F. Wang). Springer Nature, February 2023. (章主笔)

2. 地球大数据支撑可持续发展目标报告(2021)“一带一路”篇. 主编:郭华东. 科学出版社, 2022. (编委,章主笔)

3. Big Earth Data in Support of the Sustainable Development Goals (2021) -- The Belt and Road. Editor: H. Guo. Science Press and EDP Sciences. 2022. (编委,章主笔)

4. 郁文贤, 计科峰, 柳彬. 电子与信息作战丛书: 星载SAR与AIS综合的海洋目标信息处理技术. 科学出版社, 2017年6月. (专著)

5. L. Huang, B. Li, B. Liu, W. Guo, Z. Zhang, and W. Yu. Ship Characterization and Analyses in Sentinel-1 Imagery Based on a Large and Open Dataset. in Advances in SAR Remote Sensing of Oceans (Editors: X. Li, H. Guo, K.-S. Chen, and X. Yang). CRC Press, December 2018. (专著章节)

七、近五年的主持项目

1. 基于无监督深度学习的全极化SAR海岸带复杂环境水淹区域识别。国家自然科学基金青年基金(42006159)。24万元,2021.1-2023.12。(主持)

2. 海洋内波预报模型的样本库构建。自然资源部第二海洋研究所。14万元,2022.1-2022.4。(主持)

3. 人工智能海洋学相关课程教学中的课程思政元素梳理与在线教学活动设计。上海高校青年教师培养资助计划(重点推荐)。3万元,2022.1-2023.12。(主持)

4. AI海洋学前沿研究。一流学科系统建设-海洋科学高原学科建设。10万元,2021.8-2021.12。(子项目,主持)

5. 海洋人工智能算法研究(漫滩及湿地),中国科学院海洋研究所。15万元,2020.9-2020.12。(主持)

6. 基于物理-卷积网络混合模型的SAR海岸带水淹区域提取。中国博士后科学基金(2019M651474)。8万元,2019.5-2020.8。(主持)

八、学术兼职

1. 卫星海洋环境动力学国家重点实验室访问海星学者(2020-2021与2022-2023)

2. MDPI Remote Sensing人工智能海洋学专刊客座编辑

3. MDPI Fishes人工智能渔业学专刊客座编辑

4. IEEE TGRS, IEEE JSTARS, IEEE GRSL等期刊审稿人
九、主讲本科生专业课

1. 《人工智能渔业学》(海渔必修,2.5学分)

2. 《人工智能渔业设计》(海渔2必修,6学分)

3. 《人工智能概论》(海技选修)

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