Peng REN  PhD, Professor    ORCID      Google Scholar      DBLP      ResearchGate    College of Oceanography and Space Informatics,    China University of Petroleum (East China)    Address: 66 Changjiang West Road, Qingdao 266580, China.    Email: pengren@upc.edu.cn

Research Areas

• Remote Sensing.
• Underwater Imaging.
• Smart Sensing for the Petroleum Industry.
• Marine Environmental Forecasting.

I am especially interested in developing Machine Learning/Signal Processing Algorithms and FPGA/Embedded Systems for the above tasks.

Education

• [2010]    PhD in Computer Science,  University of York, UK.
• [2005]    MEng in Communication & Information Systems,  Harbin Institute of Technology, China.
• [2003]    BEng in Electronics & Information Engineering,  Harbin Institute of Technology, China.

Academic Services

• [2023 - Present]    Associate Editor, IEEE Transactions on Geoscience and Remote Sensing.
• [2024 - Present]    Associate Editor, IEEE Journal of Oceanic Engineering.
• [2024 - Present]    Associate Editor, Pattern Recognition.
• [2023 - Present]    Plagiarism Chair, IEEE Geoscience and Remote Sensing Society.
• [2019 - Present]    Topic/Guest/Special Issue Editors, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Micro Air Vehicles, Remote Sensing, Frontiers in Marine Science, etc.

Awards & Honors

• [2024]    Distinguished Lecturer, IEEE Oceanic Engineering Society.
• [2016]    IEEE Senior Member (GRSS, OES).
• [2015]    An Edge-based Matching Kernel through Discrete-time Quantum Walks, The 18th International Conference on Image Analysis and Processing (ICIAP 2015), Genova, Italy, Eduardo Caianiello Best Student Paper Award (the third co-author with Lu Bai et al.).
• [2013]    The K.M. Stott Prize, the University of York, UK.

Courses

• High-frequency Circuits (Undergraduate).
• EDA and Digital System Design (Postgraduate).
• Machine Learning and Artificial Intelligence (Postgraduate).

Principally Investigated Projects

Over twenty AI-based projects related to remote sensing, petroleum engineering, and oceanic engineering have been funded by the National Key R&D Program of China, NSFC, and other sources.

Selected Publications

• Hao Wang, Weibo Zhang, Lu Bai, and Peng Ren. Metalantis: A Comprehensive Underwater Image Enhancement Framework. IEEE Transactions on Geoscience and Remote Sensing, 62, Article Sequence Number: 5618319, 2024.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

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

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Cai Luo, Leijian Yu, and Peng Ren. A Vision-aided Approach to Perching A Bio-inspired Unmanned Aerial Vehicle. IEEE Transactions on Industrial Electronics, 65(5):3976-3984, 2018.

• Xingrui Yu, Xiaomin Wu, Chunbo Luo, and Peng Ren. Deep Learning in Remote Sensing Scene Classification: A Data Augmentation Enhanced Convolutional Neural Network Framework. GIScience & Remote Sensing, 54(5):741-758, 2017.