»姓名：任鹏

»系属：电子信息工程系

»学位：博士

»职称：教授

»专业：电子信息工程

»导师类别：博士生导师

»电子邮箱：pengren@upc.edu.cn

»通讯地址：青岛市黄岛区长江西路66号

中国石油大学（华东）海洋与空间信息学院

» English Personal Webpage

◎研究方向

1. 智能遥感遥测

简介：光学/SAR等遥感数据智能解译、海洋灾害（溢油、藻华、海冰等）智能检测和漂移预测等

2. 水下智能成像

简介：水下图像清晰化表达、水下偏振呈形、水下激光主动成像系统研发等

◎教育经历

英国约克大学 计算机科学与技术 博士（2010）

哈尔滨工业大学 通信与信息系统 硕士（2005）

哈尔滨工业大学 电子信息工程 学士（2003）

◎工作状况

中国石油大学（华东）海洋与空间信息学院教授，海洋资源与信息工程学术博士生导师、测绘工程专业博士生导师，信息与通信工程学术硕士生导师、电子信息工程专业硕士生导师。

◎学术兼职

1.  山东省高等学校“近海生态无人观测关键技术研发与装备研制青年创新团队”带头人

2.  青岛市“海洋灾害预防检测信息国际联合研究中心”主任

3.  青岛市黄岛区“多源信息即采综判关键技术创新人才团队”带头人

4.  Plagiarism Chair, IEEE Geoscience and Remote Sensing Society

5.  Associate Editor, IEEE Transactions on Geoscience and Remote Sensing

6.  Associate Editor, IEEE Journal of Oceanic Engineering

7.  Associate Editor, Pattern Recognition

◎主讲课程

1. 高频电子线路（本科生）

2. 人工智能（本科生）

3. EDA与数字系统设计（硕士生）

4. 机器学习与人工智能（博士生、硕士生）

◎指导研究生及博士后

已指导博士后、博士生、硕士生50余人

◎近期主持的代表项目

1. 青岛市科技计划重点研发专项：水下激光主动成像系统的研发及产业化，2022.05-2024.05

2. 国家重点研发计划项目：海洋环境预报模式业务化运行评估与专项数据产品共享服务平台构建-课题1：海洋数值预报产品验证标准体系构建，2020.04-2022.04

3. 国家自然科学基金项目：海洋动力学约束下溢油漂移扩散智能预测方法研究，2020.01-2023.12

4. 国家自然科学基金项目：基于深度学习模型的海上溢油监测及油膜相对厚度估计研究，2017.01-2017.12

5. 国家外专局外国专家团队项目：无人机海上灾害预防检测平台关键技术研究，2015.01-2015.12

6. 国家自然基金-英国皇家学会交流合作项目：多无人机合作模式下海上溢油检测关机技术的研究，2014.04-2016.04

◎主编教材

1. Laxmisha Rai, and Peng Ren. Programming in C - a Step-by-Step Approach，中国石油大学出版社，2021。

2. 任鹏、吴琼，高频电路基础及延伸，中国石油大学（华东）规划教材，2022。

3. 任鹏、张锡岭、周卫东、丁淑妍、李莉、吕新荣、吴琼，FPGA数字系统创新实践，中国石油大学（华东）规划教材，2023。

◎代表性奖励与荣誉

1. Distinguished Lecturer, IEEE Oceanic Engineering Society, 2024

2. 中国科协海智计划特聘专家，2023

3. 山东省优秀研究生导学团队“智能遥感遥测技术导学团队”主导师，2023

4. 山东省电子信息行业优秀科技工作者，2023

5. 山东省优秀研究生指导教师，2021

6. 泰山学者青年专家，2021

7. An Edge-based Matching Kernel through Discrete-time Quantum Walks, Eduardo Caianiello Best Student Paper Award (the third co-author with Lu Bai et al.), The 18th International Conference on Image Analysis and Processing (ICIAP 2015), Genova, Italy, 2015

8. 基于图结构的数字媒体分析基础理论和关键技术，中国电子学会自然科学一等奖（排名第四位），2013

9. 指导学生获中国机器人及人工智能大赛国家一等奖、山东省优秀硕士学位论文（4篇）、山东省研究生创新成果（3项）、校研究生“学术十杰”“工程十佳”等奖励

◎近期一作、通作代表论文

1. Yongqing Li, Xinrong Lyu, and Peng Ren.Oil Spill Timely Backtracking Oriented by Wind Field Correction with Self-attention Temporal Convolutional Networks. IEEE Journal of Oceanic Engineering, 49(1):114-132, 2024.

2. Shixin Sun, Hao Wang, Hao Zhang, Mingjie Li, Ming Xiang, Cai Luo, and Peng Ren. Underwater Image Enhancement With Reinforcement Learning. IEEE Journal of Oceanic Engineering, 49(1):249-261, 2024.

3. Hao Wang, Shixin Sun, and Peng Ren. Underwater Color Disparities: Cues for Enhancing Underwater Images toward Natural Color Consistencies. IEEE Transactions on Circuits and Systems for Video Technology, 34(2):738-753, 2024.

4. Xuanwen Tao, Mercedes E. Paoletti, Zhaoyue Wu, Juan M. Haut, Peng Ren, and Antonio Plaza. An Abundance-Guided Attention Network for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, 62, Article Sequence Number: 5505414, 2024.

5. Peng Ren, Yimin Tao, Jingpeng Han, and Peng Li. Hashing for Geo-Localization, IEEE Transactions on Geoscience and Remote Sensing, 61, Article Sequence Number: 5623213, 2023.

6. Xinrong Lyu, Jun Zhou, Peng Ren, and Alejandro C. Frery, Classification With Unbalanced Samples by Self-Sampling and Semicorrelated Co-Training - An Application to Algal Bloom Detection, IEEE Transactions on Geoscience and Remote Sensing, 61, Article Sequence Number: 4206612, 2023

7. Xiaoyu Sun, Xi Zhang, Weimin Huang, Zongjun Han, Xinrong Lyu, and Peng Ren. Sea Ice Classification Using Mutually Guided Contexts, IEEE Transactions on Geoscience and Remote Sensing, 61, Article Sequence Number: 4204019, 2023.

8. Jingpeng Han, Peng Li, Yimin Tao, and Peng Ren. Encrypting Hashing against Localization, IEEE Transactions on Geoscience and Remote Sensing, 61, Article Sequence Number: 5607414, 2023.

9. Hao Wang, Shixin Sun, and Peng Ren, Meta Underwater Camera: A Smart Protocol for Underwater Image Enhancement, ISPRS Journal of Photogrammetry and Remote Sensing, 195:462-481, 2023.

10. Hao Wang, Shixin Sun, Xiao Bai, Jian Wang, and Peng Ren. A Reinforcement Learning Paradigm of Configuring Visual Enhancement for Object Detection in Underwater Scenes. IEEE Journal of Oceanic Engineering, 48(2): 443-461, 2023.

11. Yuxin Fang, Peng Li, Jie Zhang, and Peng Ren. Cohesion Intensive Hash Code Book Co-construction for Efficiently Localizing Sketch Depicted Scenes. IEEE Transactions on Geoscience and Remote Sensing, 60, Article Sequence Number: 5629016, 2022.

12. Huajun Song, Laibin Chang, Ziwei Chen, and Peng Ren. Enhancement-Registration-Homogenization (ERH): A Comprehensive Underwater Visual Reconstruction Paradigm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6953-6967, 2022.

13. Zunxiao Xu, Kang Wu, Wuli Wang, Xinrong Lyu, Peng Ren. Semi-supervised Thin Cloud Removal with Mutually Beneficial Guides, ISPRS Journal of Photogrammetry and Remote Sensing, 192:327-343, 2022.

14. Yongqing Li, Weimin Huang, Xinrong Lyu, Shanwei Liu, Zhe Zhao, and Peng Ren. An Adversarial Learning Approach to Forecasted Wind Field Correction with An Application to Oil Spill Drift Prediction, International Journal of Applied Earth Observation and Geoinformation, 112:102924, 2022.

15. Kang Wu, Zunxiao Xu, Xinrong Lyu, and Peng Ren. Cloud Detection With Boundary Nets. ISPRS Journal of Photogrammetry and Remote Sensing, 186:218-231, 2022.

16. Qiaoqiao Yang, Zihao Ni, and Peng Ren. Meta Captioning: A Meta Learning Based Remote Sensing Image Captioning Framework. ISPRS Journal of Photogrammetry and Remote Sensing, 186:190-200, 2022.

17. Zunxiao Xu, Kang Wu, Lei Huang, Qimao Wang, and Peng Ren. Cloudy Image Arithmetic: A Cloudy Scene Synthesis Paradigm with an Application to Deep Learning Based Thin Cloud Removal, IEEE Transactions on Geoscience and Remote Sensing, 60, Article Sequence Number: 5612616, 2022.

18. Lirong Han, Peng Li, Antonio Plaza, and Peng Ren. Hashing for Localization (HfL): A Baseline for Fast Localizing Objects in a Large-Scale Scene, IEEE Transactions on Geoscience and Remote Sensing, 60, Article Sequence Number: 5609916, 2022.

19. Xiaoxiao Tai, Mingjie Li, Ming Xiang, and Peng Ren. A Mutual Guide Framework for Training Hyperspectral Image Classifiers with Small Data. IEEE Transactions on Geoscience and Remote Sensing, 60, Article Sequence Number: 5510417, 2022.

20. Tingwei Wang, Song Gao, Fan Bi, Yaru Li, Donglin Guo, and Peng Ren. Residual Learning with Multifactor Extreme Learning Machines for Waveheight Prediction. IEEE Journal of Oceanic Engineering, 46(2):611-623, 2021.

21. Xuanwen Tao, Tingwei Cui, Antonio Plaza, and Peng Ren. Simultaneously Counting and Extracting Endmembers in a Hyperspectral Image Based on Divergent Subsets. IEEE Transactions on Geoscience and Remote Sensing, 58(12): 8952-8966, 2020.

22. Peng Li, Lirong Han, Xuanwen Tao, Xiaoyu Zhang, Christos Grecos, Antonio Plaza, and Peng Ren. Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 58(10): 7331-7345, 2020.

23. Guoshuai Dong, Weimin Huang, William A.P. Smith, and Peng Ren. A Shadow Constrained Conditional Generative Adversarial Net for SRTM Data Restoration, Remote Sensing of Environment, 237: Article 111602, 2020.

24. Peng Ren, Min Xu, Yunhua Yu, Fang Chen, Xiangyuan Jiang, and Erfu Yang, Energy Minimization with One Dot Fuzzy Initialization for Marine Oil Spill Segmentation, IEEE Journal of Oceanic Engineering, 44(4):1102-1115, 2019.

25. Xingrui Yu, He Zhang, Chunbo Luo, Hairong Qi, and Peng Ren. Oil Spill Segmentation via Adversarial f-Divergence Learning, IEEE Transactions on Geoscience and Remote Sensing, 56(9):4973-4988, 2018.

26. Zhiqiang Yu, Tingwei Wang, Xi Zhang, Jie Zhang, and Peng Ren, Locality Preserving Fusion of Multi-source Images for Sea-ice Classification, 海洋学报(英文版), 38(7):129-136, 2019.